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15 results for “Moho”
Earthquakes with Moho depth
<p>List of earthquake with their time, location and magnitude and the Moho depth referred to the earthquake location</p>
Data of resulting velocity and anisotropic models, and Moho depth of the Tanlu fault zone
<div>Our dataset includes velocity model, anisotropic model, Moho depth data, core drawing codes, and color files.</div> <div> </div> <div>1. ani_vel_model.txt </div> <div>Data of our resulting velocity and anisotropic models.</div> <div> Format: longitude, latitude, vel_value (km/s), ani_value (km/s), azimuth_anisotropy (degree),</div> <div> </div> <div>2. moho.txt </div> <div>Data of our resulting Moho depth.</div> <div> Format: longitude, latitude, moho_depth (km)</div> <div> </div> <div>3. core_code_plot_picture.sh</div> <div>The core codes for plotting velocity model, anisotropy model, and Moho depth map.</div> <div> </div> <div>3. moho.cpt</div> <div>Color files required for plotting Moho depth.</div> <div> </div> <div>4. vel.cpt</div> <div> Color files required for plotting velocity model.</div>
Surface wave tomography with transfer learning and Moho constraints: Method and application to China mainland
<p>The content of this study is the inversion of surface waves based on deep learning. The dataset includes the trained deep learning model, dispersion data, synthetic data test results, real data application results, error analysis, and more detailes.</p>
Crustal thicknesses, Moho depths and 3-D density anomaly model for GJI paper: Crustal structure of onshore-offshore Atlantic Canada and environs from constrained 3-D gravity inversion using variable mesh depths by J. Kim Welford
<p>The files are provided as ascii text files in terms of both latitudes/longitudes and eastings/northings. For the 3-D density anomaly model, it is provided with columns of x, y, z, and absolute density. The conversions from latitudes/longitudes to eastings/northings for all of the models and maps in this work are computed with ellipsoid WGS-84 and UTM zone 19 using Generic Mapping Tools.</p>
Ancient mitochondrial genomes unveil the origins and evolutionary history of New Zealand's enigmatic takahe and moho
<p>Many avian species endemic to Aotearoa New Zealand were driven to extinction or reduced to relict populations following successive waves of human arrival, due to hunting, habitat destruction, and the introduction of mammalian predators. Among the affected species were the large flightless South Island takahe (<em>Porphyrio hochstetteri</em>) and the moho (North Island takahe; <em>P. mantelli</em>), with the latter rendered extinct and the former reduced to a single relictual population. Little is known about the evolutionary history of these species prior to their decline and/or extinction. Here we sequenced mitochondrial genomes from takahe and moho subfossils (12 takahe and four moho) and retrieved comparable sequence data from takahemuseum skins (n = 5) and contemporary individuals (n = 17) to examine the phylogeny and recent evolutionary history of these species. Our analyses suggest that prehistoric takahepopulations lacked deep phylogeographic structure, in contrast to moho, which exhibited significant spatial genetic structure, albeit based on limited sample sizes (n = 4). Temporal genetic comparisons show that takahe have lost much of their mitochondrial genetic diversity, likely due to a sudden demographic decline soon after human arrival (~750 years ago). Time-calibrated phylogenetic analyses strongly support a sister-species relationship between takahe and moho, suggesting these flightless taxa diverged around 1.5 million years ago, following a single colonisation of New Zealand by a flighted <em>Porphyrio </em>ancestor approximately four million year ago. This study highlights the utility of palaeogenetic approaches for informing the conservation and systematic understanding of endangered species whose ranges have been severely restricted by anthropogenic impacts.</p>
Data for Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies
<p>This is a help file for a description of all Data used for the implementation of our present paper<br> 'Estimation of 3D Moho depths beneath Southern Indian Shield by inverting seismic constraint gravity anomalies.' </p> <p> </p>
Pn velocity and anisotropic tomography models, and Moho depth of the Tanlu Fault Zone
<p>Our dataset includes Pn velocity and anisotropic tomography models, and Moho depth of the Tanlu Fault Zone.</p>
Data of resulting velocity and anisotropic models, and Moho depth of the North China Craton
<pre>1. NCC_Pn_Velocity_Anisotropy_Model.txt Data of our resulting velocity and anisotropic models. Format: longitude, latitude, vel_value (km/s), ani_value (km/s), azimuth_anisotropy (degree), 2. NCC_Moho_Depth_Model.txt Data of our resulting Moho depth. Format: longitude, latitude, moho_depth (km)</pre>
Ancient mitochondrial genomes unveil the origins and evolutionary history of New Zealand’s enigmatic takahe and moho
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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>
Data from: Continent-side paleo-rift structure in the western East Sea (Sea of Japan) and linkage between Moho uplift and mountain range formation
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3-D Shear Wave Velocity (Vs) & Crustal Interface (Sediment Basement & Moho) Models of Borneo, Makassar Strait, & Sulawesi Region
<p>An update version of 3-D Shear Wave Velocity (Vs) & Crustal Interface (Sediment Basement & Moho) Models of Borneo, Makassar Strait and Sulawesi region obtained from group velocity tomography. Group velocity is retrieved from dispersion analysis of Rayleigh waves extracted from the ambient noise field by cross-correlating long-term recordings from 108 seismic stations over a period of 8 months (the stacked cross-correlations data are included). A 3-D shear wave velocity model then are produced via a two-stage process in which group velocity maps are computed across a range of periods and then sampled over a dense grid of points to produce pseudo-dispersion curves; these dispersion curves are then separately inverted for 1-D shear wave velocity (Vs), with the resultant models combined and interpolated to form a 3-D model.</p>
Impact of MOHO on Therapists Working With Clients in Cancer Population
ClinicalTrials.gov study NCT01983332. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data of resulting velocity and anisotropic models, and Moho depth of the Tanlu fault zone
<p>Data of resulting velocity and anisotropic models, and travel-times for essay of Tanlu Pn tomography. These data can only be used for scientific research purposes.</p><p>1. ani_vel_model.txt </p><p> Format: longitude, latitude, vel_value (km/s), ani_value (km/s), azimuth_anisotropy (degree)</p><p>2. handpicked_travel_time.txt </p><p> Format: event_number, event_year, event_month, event_day, event_hour, event_minute, event_second (s), event_lat, event_lon, event_depth (km), event_magnitude, sta_count (for one event)</p><p> sta_name1, sta_lat1 (degree), sta_lon1 (degree), sta_elevation1 (m), travel_time1 (s)</p><p> sta_name2, sta_lat2 (degree), sta_lon2 (degree), sta_elevation2 (m), travel_time2 (s)</p><p> ...</p>
The East Asia Moho depth model and the input gravity data
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