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Dataset results
372 results for “Waveforms”
Pollino seismic waveforms
<p>The repository contains all the waveforms used to perform 3D scattering and absorption imaging of the Pollino seismic gap area. </p>
Danesi_et_al_Cryosphere_2023-RAW_EVENTS_Waveform
<p>The repository contains 2 zipped files with waveforms related to the paper Danesi et al. 2023, Cryosphere.</p> <p>The files are:</p> <p>- cycled_events_2003-04.tar.gz : containing 3-component waveforms for a single station used in the match-filtering analysis</p> <p>- events_waveforms.tar.gz : containing 3-component waveforms for a single station used for absolute location analysis</p>
Seismic waveform data collected at Helheim Glacier between Aug, 2012 and Jun, 2017 (part 1)
<p> Raw seismic waveforms (in miniSEED format) at HEL1 station collected at Helheim Glacier between 2012 and 2017 (part 1)</p>
Seismic waveform data collected at Helheim Glacier between Aug, 2012 and Jun, 2017 (part 2)
<p>Raw seismic waveforms (in miniSEED format) at HEL1 station collected at Helheim Glacier between 2012 and 2017 (part 2)</p>
Continuous waveform data and the catalog of local seismic events in Sichuan
<p>Continuous waveform data and the catalog of local seismic events in Sichuan</p>
Figure 4 Preliminary synthesized waveforms of 22 stations
<p>Figure 4 Preliminary synthesized waveforms of 22 stations. The simulation results of seismic motion at other stations not shown in Figure 4 of the manuscript submitted this time.</p>
Data release: Comparing gravitational waveform models for binary black hole mergers - a hypermodels approach
<p>We include two main directories, one with the power spectral densities (PSDs) estimated for the events, and one with the posteriors of our analysis for each event.</p> <p> </p> <p><strong>PSDs</strong></p> <p>For most of the events, the sampling rate required for our analysis was higher than the one employed in LVK catalog paper studies. We upload here the PSDs computed for our analysis, divided into two main directories: 2048 for the PSDs computed with sampling rate = 2048 Hz, and 4096 for the ones computed with sampling rate = 4096 Hz. Each directory contains specific directories corresponding to each event, with the PSD for each detector as a *.dat file.</p> <p> </p> <p><strong>Posteriors</strong></p> <p>The 'posteriors.tar.gz' directory contains the *.json files, one for each event, with the results of our analysis.</p> <p> </p>
Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms
<p><strong>What is the nature of flow in the mantle?</strong><br> <strong>How fast do waves travel anywhere on Earth?</strong><br> <strong>Where can radial anisotropy be robustly detected?</strong><br> <strong>Can we reconcile a broad spectrum of seismic data? What are the benefits?</strong></p> <p>We use normal-mode splitting functions in addition to surface-wave phase anomalies, body-wave travel times and long-period waveforms to construct a three-dimensional model of anisotropic shear-wave velocity in the Earth's mantle. This is the <strong>first tomographic study</strong> to exploit the sensitivity of mode-splitting data to constrain radial anisotropy in the Earth's mantle jointly with several other types of data. Our modeling approach inverts for mantle velocity and anisotropy as well as transition-zone discontinuity topographies, and incorporates new crustal corrections for the splitting functions that are consistent with the nonlinear corrections we employ for the waveforms. Our preferred anisotropic model, S362ANI+M, is an update to the earlier model S362ANI, which did not include normal-mode splitting functions in its derivation.</p> <p><strong>Feedback/Questions?</strong> Please contact Raj Moulik (<a href="https://rajmoulik.com">rajmoulik.com</a>) at <a href="mailto:moulik@caa.columbia.edu?subject=Query%20from%20Zenodo">moulik@caa.columbia.edu</a> </p> <p><strong>Reference:</strong></p> <p><em>Please cite the following work if you use this data or software.</em></p> <ul> <li>Moulik, P. & Ekström, G., 2014. An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms, <em>Geophys. J. Int.</em>, <strong>199</strong>(3), 1713-1738, doi: <a href="http://dx.doi.org/10.1093/gji/ggu356">10.1093/gji/ggu356</a>. <em><a href="https://rajmoulik.com/Publications/MoulikEkstrom_GJI2014.pdf">pdf</a></em></li> </ul> <p><em>You can also cite the dataset and software from this Zenodo page (Optional).</em></p> <ul> <li> <p>Moulik, P. & Ekström, G., 2014. Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms. In Geophys. J. Int. (v1.0, Vol. 199, pp. 1713–1738). Zenodo. doi: <a href="https://doi.org/10.5281/zenodo.8357379">10.5281/zenodo.8357379</a></p> </li> </ul> <p><strong>Data Products:</strong></p> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANIplusM_Figures.tar.gz"><strong>S362ANIplusM_Figures.tar.gz</strong></a> - contains all figures from the paper in .png format</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM_MapViewsCrossSections.pdf"><strong>S362ANI+M_MapViewsCrossSections.pdf</strong></a> - Some cross sections and map views at various depths in the mantle</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM">S362ANI+M</a> - </strong>Coefficients of the spline basis functions for each parameter. Refer c<sub>ij</sub> in equation 11. This is our preferred global model of shear-wave velocity. In this model, radial anisotropy is confined to the uppermost mantle (that is, since the anisotropy is parameterized with only the four uppermost splines, it becomes very small below a depth of 250 km, and vanishes at 410 km). This is an updated version of S362ANI (Kustowski et al., 2008) which did not include normal modes in its derivation. Please note the stronger isotropic shear velocity anomalies in the transition zone.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/STW105"><strong>STW105</strong></a> - reference model used in S362ANI+M. Described in Kustowski et al. (2008)</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/setup.cfg">setup.cfg</a> - </strong>Some configuration metadata relevant to this model for reproducibility.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/epix.tar.gz"><strong>epix.tar.gz</strong></a> - Perturbations in horizontally (vsh) and vertically polarized shear velocity (vsv), Voigt-average isotropic velocity (vs), ansotropy (as) and topography of the internal boundaries. This is calculated from the spline coefficients at every 1 by 1 degree cell-centered pixel and at every ~25 km depth region from Moho to the core-mantle boundary and stored in extended pixel format (.epix) ASCII files. </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM.BOX25km_PIX1X1.avni.nc4"><strong>S362ANI+M.BOX25km_PIX1X1.avni.nc4</strong></a> - The perturbations in a standard AVNI format that utilizes the NETCDF4 container format. This file can be read in Python using either xarray or AVNI libraries. For example, to plot vs perturbations at 24.4-50 km depth range <ul> <li><em>import xarray as xr</em></li> <li><em>ds = xr.open_dataset('S362ANI+M.BOX25km_PIX1X1.avni.nc4')</em></li> <li><em>ds.vs[0].plot()</em></li> </ul> </li> <li><strong>Fortran Code</strong> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/readme"><strong>readme</strong></a> - contains a description of all files in the folder below</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/PROGRAMS.tar.gz"><strong>PROGRAMS.tar.gz</strong></a> - tools for obtaining model values at specific locations and some GMT plotting tools</li> </ul> </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/GRD.tar.gz"><strong>GRD.tar.gz</strong></a> - longitude-latitide-velocity files with vsh, vsv, and Voigt average in km/s evaluated on a grid of points at many depths in the mantle</li> </ul>
Analysis of Arterial Waveforms and Oxygen Pressure During Supervised Exercise for Peripheral Artery Disease
ClinicalTrials.gov study NCT05818046. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Comparison of 50% Tilt and Tuned Waveforms in Single-Coil Active Can Configuration
ClinicalTrials.gov study NCT00874445. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Effects of Different Intra-arterial Catheter Size on Frequency of Optimal Dynamic Response in Radial Arterial Waveform
ClinicalTrials.gov study NCT03642756. IPD Sharing: NO. Countries: 1. Publications: 1.
Can Waveform and Flow Traces From Mechanical Insuflattion:Exsufflation (MI:E) be Used to Identify Laryngeal Responses to MI:E and Thus Optimise Treatment Algorithms?
ClinicalTrials.gov study NCT05189600. IPD Sharing: NO. Countries: 1. Publications: 1.
Echocardiographic and Arterial Pressure Waveform Changes After Reducing Heart Rate With Esmolol in Septic Shock Patients
ClinicalTrials.gov study NCT02188888. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Spectral Analysis of Central Venous Pressure Waveform
ClinicalTrials.gov study NCT04733547. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Epidural Waveforms: Pressure Transducer vs CompuFlo
ClinicalTrials.gov study NCT04240197. IPD Sharing: NO. Countries: 1. Publications: 1.
Epidural Waveform Analysis for Thoracic Epidural Blocks
ClinicalTrials.gov study NCT03603574. IPD Sharing: NO. Countries: 2. Publications: 13.
Waveform Analysis In Snakebite Victims With Hematotoxicity
ClinicalTrials.gov study NCT03859154. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Right Ventricular Pressure Waveform Monitoring in Cardiac Surgery
ClinicalTrials.gov study NCT04092855. IPD Sharing: NO. Countries: 1. Publications: 25.
Transcranial Electrical Stimulation With Special Waveform for Upper Extremity Rehabilitation for Patients With Stroke
ClinicalTrials.gov study NCT04369235. IPD Sharing: NO. Countries: 1. Publications: 1.
Development and Evaluation of the ICP Waveform Tracing Capabilities and Safety of HS-1000 Device
ClinicalTrials.gov study NCT02772471. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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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.