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121 results for “receiver functions”
Receiver function data from Jammu and Kashmir seismological NETwork
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Receiver Functions PNW
<p>The zip file contains the receiver function data we used. The data is in .mat format and there is a MATLAB script for reading it. Detailed info can be found in the .m file. </p>
Receiver-function imaging of the Moho discontinuity beneath the Tanlu fault zone and its tectonic significance
<p>Moho depth data around the Tanlu fault zone. </p>
Broadband waveforms for teleseismic receiver functions in the northwestern part of South America
<p>This dataset provides a comprehensive collection of teleseismic events occurring within an epicentral distance range spanning 30° to 130°, featuring a minimum magnitude threshold of Mw > 4.5. Data from 98 triaxial broadband seismological stations affiliated with three distinct seismological networks: the Colombian Geological Survey (RSNC), IRIS-PASSCAL Consortium/USGS, and Volcanological Observatories are incorporated in this dataset. These recordings span the period from 1999 to 2021. The raw waveforms are updated, these were trimmed several seconds before and after the P-wave arrival.</p><p>The dataset is systematically arranged in chronological order based on teleseismic events and is presented in the SAC format. Geospatial information pertaining to each event is encapsulated within the header file.</p>
ARFM(Adaptive receiver function seismic migration): codes and dataset for application in SE Tibetan plateau
<p>We develop a post-stack adaptive receiver function (RF) seismic migration method to image subsurface disconitnuities. Contents of numerical experiments are in the compressed file 'program_synthetic_experiments.tar'. RF dataset and codes for the application of the adaptive receiver function migration method in southeastern Tibetan plateau are in other compressed files.</p>
Receiver functions from the dense nodal array in the eastern Junggar
<p>Receiver function from the dense nodal array in eastern Junggar. The database is arranged by event, and the number before the first dot of each file name represents the station number.</p> <p>Please cite 'Yang, X., Tian, X., Windley, B. F., Zhao, L., Lu, Y., Yuan, H., & Xiao, W. (2022). The role of multiple trapped oceanic basins in continental growth: seismic evidence from the southern Altaids. Geophysical Research Letters, 49(11), e2022GL098548'.</p>
Less-well-developed crustal flow in the central Tibetan Plateau revealed by receiver function and surface wave joint inversion
<p>A crustal flow model has been previously used to explain the crustal extension of the Tibetan Plateau. However, the existence of massive crustal flow in the central plateau is still controversial. We conducted a joint inversion of receiver functions and surface wave dispersions from the 2-D broadband seismic array SANDWICH deployed in the central plateau. The crustal S-wave velocity structure with high vertical resolution shows a low-velocity layer (LVL) in the middle-lower crust beneath most stations. The S-wave velocity of this LVL is mostly within 3.0-3.4 km/s, reflecting a melt volume percentage (MVP) ≤ 7%, except at two stations. Our study suggests that there is not a high enough melt volume in central Tibet to develop crustal flow, which requires an MVP ≥ 7% to decrease rock strength. The formation of extensional structures in the central plateau may contribute to ductile deformation in the middle-lower crust but not crustal flow.</p>
Processed receiver function data, dispersion measurement, and shear velocity model (Dharwar)
<p>Processed receiver function data at 1 sample per second, dispersion measurement, and shear velocity model (Dharwar).</p>
Receiver functions from a dense nodel array in the core of the eastern Himalayan syntaxis
<p>The zip file contains the receiver functions waveforms we generated. Details can be found in the readme.txt file.</p>
Primary data of the receiver functions waveforms
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Obduction of the lower crust contributing to the uplift of the Longmen Shan revealed by receiver function imaging in eastern Tibet
<p>To investigate the crustal deformation of the Longmenshan region, we imaged the fine crustal structure by using teleseismic P-wave receiver functions (RFs) along a dense nodal seismic array across the LMS and removed the scattered surface waves generated by the steep topography. This folder uploaded includes the raw data used to RFs ('LMS_raw_data_SH_2017_2018_NEZ'), the calculated RFs ('LMS_RFs_SH_2017_2018'), the RFs with removing the topographic scatters ('LMS_RFs_SH_2017_2018_rmsc'), the crustal image data (the common conversion point (CCP) stacking of RFs)('CCP_LMS.txt'), and the crustal image data after removing the topographic scatters ('CCP_LMS_Remove_scatters.txt'). The folders for raw data and RFs are stored according to events, and the files under each event folder start with the station number. The raw data and the RFs are in SAC format. </p>
Modeling Seismic Anisotropy Beneath the Island of Hispaniola via the Harmonic Decomposition of Receiver Functions
<p>Teleseismic earthquakes data from 17 three-component broadband seismic stations of Hispaniola Island for the years 2016-19.</p>
Seismic event file for receiver function analysis
<p>Seismic event file for receiver function analysis used in Crustal structure from incoming plate to back-arc region in the southernmost Mariana Trench based on OBS receiver functions (in review at G-cubed).</p>
Radial and Transverse receiver functions in Guangdong, Fujian, Jiangxi, Hunan, Guangxi Provinces in China.
<p>Seismic data from 126 permanent seismic stations run by the China Earthquake Administration between 2009 and 2015 were processed. Teleseismic waveform recordings with a magnitude greater than M6.0 and epicentral distances ranging from 30° to 90° were considered. The back azimuth coverage of these events is overall adequate for anisotropy analysis . The RFs were computed following the source equalization procedure with a water-level parameter of 0.001 and a Gaussian width of 2.5. We manually evaluated these receiver functions by checking the Ps signals, and high-quality radial and transverse RFs were selected for further processing.</p>
Receiver function data on the Southeastern Tibetan Plateau (Dataset)
<p>The dataset about the study of Crustal Anisotropy Beneath the Southeastern Tibetan Plateau and the lateral Extension of the Plateau</p>
Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions - Dataset
<p>This version includes three parts. The first part is the seismic data set of Earthquakes, Marsquakes, and Moonquakes used in "Differences in Scattering Properties of the Shallow Crusts of Earth, Mars, and the Moon Revealed by P-Wave Receiver Functions" by Shi et al. (2023). In the data set of Earthquakes and Marsquakes, the direct P wave starts after 120 s. In the data set of Moonquakes, the direct P wave starts after 50 s. The second part is the velocity models used in the article for the Earth, Mars, and Moon. The third part is the code used to reproduce all the figures in the main text.</p>
Joint Inversion of Receiver Functions and Apparent Shear Wave Velocity for Martian Crustal Model
<p>Data and Codes of the joint inversion of receiver functions and apparent shear wave velocity for martian crustal model.</p>
Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region
<p>Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region. All data are arranged by seismic events, and the number before the first dot of each file name represents the station number.</p>
Receiver-function datasets of the passive-source seismic profiles in the northeastern Tibetan plateau contributed by LRC
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Non-sedation Versus Sedation With a Daily Wake-up Trial in Critically Ill Patients Receiving Me-chanical Ventilation - Effects on Cognitive Function
ClinicalTrials.gov study NCT02035436. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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