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969 results for “velocity”

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zenodo44/100

MTAB3D: a 3-D velocity model for absolute hypocenter location in southern Iberia and westernmost Mediterranean.

<p>The Trans-Alboran Shear Zone is one of the most seismically active areas in the westernmost Mediterranean, where a wide variety of tectonic domains have developed within the context of oblique convergence between Eurasia and Africa plates. In this region, earthquakes occur close to seismogenic structures, some of them large enough to cause damaging events. In addition, the diversity of tectonic domains implies a lateral variation of seismic wave propagation, which could affect the hypocenter reliability if not addressed during the location procedure. In this work, we present mTAB3D, a new 3D P-wave velocity model that accounts for the lateral heterogeneity of our study area. The new catalogs computed with our model help us to infer possible genetic relations between seismicity and source faults within our study area and can be used as an additional tool when looking into prior seismic sequences.</p>

opencc-by-4.0Mar 2024View details →
zenodo44/100

IODP Expedition 367 P-wave velocity logger (whole round)

P-wave velocity data were measured on whole-round sections on the Whole-Round Multisensor Logger (WRMSL) using pairs of piezoelectric transducers mounted on a caliper system. Measurements may be affected by degassing of pore fluid and microfracturing during core recovery. Report includes P-wave velocity in x-y plane and distance and traveltime between transducers.

opencc-by-4.0Sep 2018View details →
zenodo44/100

IODP Expedition 367 P-wave velocity caliper (section)

P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.

opencc-by-4.0Sep 2018View details →
zenodo44/100

IODP Expedition 367 P-wave velocity caliper (discrete)

P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.

opencc-by-4.0Sep 2018View details →
zenodo44/100

IODP Expedition 367 P-wave velocity bayonet (section)

P-wave velocity data were measured on undisturbed section halves using pairs of piezoelectric transducers mounted in bayonets that are inserted into soft sediment along the JRSO-defined y-axis and/or z-axis. Report includes P-wave velocity in y and/or z direction, bayonet separation, traveltime between transducers, and first arrival picks.

opencc-by-4.0Sep 2018View details →
zenodo44/100

MEaSUREs ITS_LIVE Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities: Version 2 (Greenland Sample Products)

<p>We provide&nbsp;21 sample products of&nbsp;MEaSUREs ITS_LIVE Sentinel-1 Image-Pair Glacier and Ice Sheet Surface Velocities: Version 2 in three test regions of Greenland Ice Sheet.&nbsp;The full archive of version 2 ITS_LIVE products (including image pair maps, data cubes and mosaics) from Sentinel-1&nbsp;as well as other optical sensors (Landsat-4/5/6/7/8 and Sentinel-2) can be found at the ITS_LIVE project website:&nbsp;<a href="https://its-live.jpl.nasa.gov/">https://its-live.jpl.nasa.gov</a>.</p> <p><strong>Sensor</strong>: Sentinel-1A/B</p> <p><strong>Processor</strong>:&nbsp;<a href="https://github.com/isce-framework/isce2">ISCE</a>v2.4.1 (topsApp -&gt;&nbsp;<a href="https://github.com/leiyangleon/Geogrid">Geogrid</a>v1.4.0&nbsp;-&gt;&nbsp;<a href="https://github.com/nasa-jpl/autoRIFT">autoRIFT</a>v1.4.0)</p> <p><strong>Project</strong>: NASA MEaSUREs project&nbsp;<a href="https://its-live.jpl.nasa.gov">ITS_LIVE</a></p> <p><strong>Region 1</strong> (69.13N, 50.88W; Jakobshavn Isbr&aelig; Glacier): 7 ascending image pairs</p> <p><strong>Region 2</strong>&nbsp;(77.61N, 42.79W; central north of interior Greenland): 3 ascending&nbsp;image pairs</p> <p><strong>Region 3</strong>&nbsp;(72.48N, 35.87W; central south of interior Greenland): 10 descending&nbsp;image pairs and 1 ascending image pair</p> <p>This serves as a&nbsp;supplementary dataset for the companion journal article submitted to Earth System Science Data (to appear).</p> <p>&nbsp;</p> <p><strong>Acknowledgement</strong>:&nbsp;This effort was funded by the NASA MEaSUREs program in contribution to the Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project (<a href="https://its-live.jpl.nasa.gov/">https://its-live.jpl.nasa.gov/</a>) and through Alex Gardner&rsquo;s participation in the NASA NISAR Science Team.</p>

opencc-by-4.0Oct 2021View details →
zenodo44/100

Southern South Island, New Zealand, seismic observations and velocity model for Tectonics 2021TC007006

<p>This archive has data and results from the Tectonics paper, &ldquo;The influence of basement terranes on tectonic deformation: joint earthquake travel-time and ambient noise tomography of the southern South Island, New Zealand&rdquo; (Eberhart-Phillips et al., 2022; doi:10.1029/2021TC007006).&nbsp; That work incorporated earthquake observations from the 2014-2015 Otago temporary broadband network.&nbsp; Group velocity observations are in &lsquo;groupvel_obs_otaf_T5_T9.vgsw&rsquo;.&nbsp; We used earthquakes observed on the COSA temporary network.&nbsp; The Otago-COSA travel-times and hypocenters are in &lsquo;tt_archive.tar&rsquo;.&nbsp; The Otago earthquakes were evaluated within Seiscomp.&nbsp; Those observation files, which include polarity, are in &lsquo;polarity_bulletin.tar&rsquo;.&nbsp; We did not use the polarities in the Tectonics paper, but we archive them here for completeness.&nbsp; The waveform data will be available from IRIS.</p> <p>The southern South Island 3-D velocity model is provided in the table &lsquo;vlotf30xyzltlnDWSSF.mod&rsquo;, with DWS (derivative weight sum) describing the distribution of data, and SF (spread function) describing the resolution averaging. Later on, this will be merged into the New Zealand wide velocity model version 2.3, which will be placed on Zenodo.</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Buoyancy versus local stress field control on the velocity of magma propagation: insight from analog and numerical modelling, Supporting Data

<p>Experimental data and numerical codes used in the manuscript &quot;Buoyancy versus local stress field control on the velocity of magma propagation: insight from analog and numerical modelling&quot; by V. Pinel, S. Furst, F. Maccaferri and D. Smittarello.</p>

opencc-by-4.0Dec 2021View details →
zenodo44/100

Thermal conductivity and compressional velocity of methane at high pressure

<p>This repository contains experimental data on the thermal conductivity and compressional velocity of methane (CH4) up&nbsp;to 45 GPa at room temperature and theoretical calculations of methane&#39;s equation of state, heat capacity, and bulk&nbsp;sound velocity from 5-100 GPa and 0-1200 K. These datasets are presented in a manuscript submitted to Journal of Geophysical Research: Planets&nbsp;by Meyer, D.W.; Hsieh, W.P.; Hsu, H.; Kuo, C.Y.; and Lin, J.F. in Oct. 2021 entitled:</p> <p>Thermal conductivity and compressional velocity of methane at high pressure: Insights into thermal transport&nbsp;properties of icy planetary interiors.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo44/100

Fatiando a Terra Data: Alps - 3D GPS velocities

<p>This is a compilation of 3D GPS velocities for the Alps. The horizontal velocities are reference to the Eurasian frame. All velocity components and even the position have error estimates, which is very useful and rare to find in a lot of datasets.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It&#39;s mean for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made:</strong> Combined the data from 3 different files, keeping the 3-component velocities in the Eurasion frame, coordinates, uncertainties, and station ID; exported to a compressed CSV file.</p> <p><strong>Source:</strong> S&aacute;nchez, Laura; V&ouml;lksen, Christof; Sokolov, Alexandr; Arenz, Herbert; Seitz, Florian (2018): Present-day surface deformation of the Alpine Region inferred from geodetic techniques (data). PANGAEA, <a href="https://doi.org/10.1594/PANGAEA.886889">https://doi.org/10.1594/PANGAEA.886889</a></p> <p><strong>Source license:</strong> <a href="https://doi.org/10.1594/PANGAEA.886889">CC-BY-3.0</a></p> <p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/alps-gps-velocity">https://github.com/fatiando-data/alps-gps-velocity</a></p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

[Dataset] In situ laser-ultrasonic monitoring of Poisson's ratio and bulk sound velocities of steel plates during thermal processes

<p>Data generated and analyzed in the work titled &quot;In situ laser-ultrasonic monitoring of Poisson&rsquo;s ratio and bulk sound velocities of steel plates during thermal processes&quot;. See the associated publication for more context.</p> <p>All files are stored in Matlab&#39;s binary MAT-file format.</p> <ul> <li>cutOffs_ZGVs_nu_S1S2_A2A3_S3S6_A4A7.mat <ul> <li>Dispersion relation data of plates obtained from numerical calculation with a range of Poisson&#39;s ratios and otherwise arbitrary but fixed material properties.</li> <li>S1S2-, A2A3-, S3S6- and A4A7-ZGV resonance frequencies and k-values</li> <li>L1 and T1 thickness resonance frequencies</li> </ul> </li> <li>lusResults_jmat_dilatometry_data.mat <ul> <li>LUS measurement data and resulting material properties (raw displacement data recorded on the oscilloscope is stored separately to keep the file size reasonable.)</li> <li>Dilatometer measurements</li> <li>JMatPro simulation</li> </ul> </li> <li>lusOscilloscope_data.mat <ul> <li>Normal surface displacement measurement data obtained in situ with LUS and recorded with an oscilloscope</li> </ul> </li> </ul>

opencc-by-4.0Mar 2022View details →
zenodo44/100

Gaia EDR3 Catalogs of Machine-Learned Radial Velocities

<p><strong>Gaia EDR3 Catalogs of Machine-Learned Radial Velocities</strong></p> <p>Spatially complete&nbsp;Test-Set and Machine-Learned Radial Velocity (ML-RV)&nbsp;Catalogs described in Dropulic et al., arXiv:<a href="https://arxiv.org/abs/2205.12278">2205.12278</a>. The spatially complete&nbsp;Test-Set Catalog contains a total of 4,332,657&nbsp;stars, while the &nbsp;spatially complete ML-RV Catalog contains 91,840,346 stars. We provide Gaia EDR3 Source IDs, the network-predicted line-of-sight velocity in km/s, and the network-predicted uncertainty in km/s.&nbsp;</p> <p>We have included a simple Jupyter notebook demonstrating how to import the data, and make a simple histogram with it.</p> <p>If you find this catalog useful in your work, please cite Dropulic et al.&nbsp;arXiv:<a href="https://arxiv.org/abs/2205.12278">2205.12278</a>, as well as Dropulic et al. <a href="https://doi.org/10.3847/2041-8213/ac09ef">ApJL 915, L14 (2021)</a>&nbsp;arXiv:<a href="https://arxiv.org/abs/2103.14039">2103.14039</a>.&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo44/100

Event-Based Velocity Prediction for Spiking Neural Networks

<p>This dataset is intended to be used to predict the velocity based on the event pixels present in the data, given in (t, x, y, p) format alongside a ground truth velocity reading. A novel dataset using people and various objects moving in front of an RGB video camera was created. The positions of each entity and the associated times were captured with a Vicon motion tracking system. These two types of data were calibrated so that the movement in the video matched the measurements recorded by the Vicon system. The types of data collected include two different people carrying a calibrated Vicon Active Wand and moving around the room, a Lambda aerial robot with motion tracking markers that flew around the room, a box with motion tracking markers that were tossed back and forth in the air, and the same box was slid across the floor.&nbsp;The video recording was simulated as event camera data. Each pixel changes state independently of all the other pixels. The Open Event Camera Simulator (ESIM) from the Robotics and Perception Group at the University of Zurich and ETH Zurich is used. The event camera simulator used, ESIM, allows for accurate event simulation data. The ground truth velocities were calculated from the position and timestamps recorded by the Vicon system.</p>

opencc-by-4.0Jun 2022View details →
zenodo44/100

The SDSS Peculiar Velocity Catalogue

<p>Data, randoms and mock galaxy catalogues for the <em>Sloan Digital Sky Survey Peculiar Velocity Catalogue</em>; Howlett et. al., 2022, MNRAS, in press. See arXiv:2201.03112 for more details.</p> <p>Changelog:</p> <ul> <li>1.1.0: <ul> <li>Fixed error in v1.0.0 in specObjID column caused (at some point in the pipeline) due to rounding errors when reading/writing large numbers. v1.1.0 has the correct specObjIDs. Note that &#39;objid&#39; is correct in both versions of the SDSS PV catalogue, and our recommended method to crossmatch to the spectroscopic SDSS data (wherein the corresponding column to match with is &#39;bestobjid&#39;).</li> </ul> </li> </ul>

opencc-by-4.0Jun 2022View details →
zenodo44/100

A data set of monthly global ocean vertical velocity from 1950-2014

<p>This data set provides monthly global ocean vertical velocity from 1950-2014. It was constructed from 41 CMIP6 models (historical experiment). It may be used for investigating the large-scale upwelling and downwelling.</p> <p>Note that this data set has not been widely tested. Please feel free to contact the author if you had any questions or concerns.</p> <p>It will be greatly appreciated if you could send the author an email when you used this data set, so that the author can better improve this data set, and more importantly, provide you with updated data sets or any modifications.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

New Zealand Wide model 2.1 seismic velocity model for New Zealand

<p><em><strong>21-May-2022</strong>&nbsp; There are updated Vp and Vp/Vs models 2.3, which incorporate the results from the Southern South Island region, at zenodo.org/record/6568301 </em></p> <p><strong>13-July-2021</strong>&nbsp; There are updated Qp and Qs models 2.3, which incorporate the results from the Kaikoura region, at&nbsp;zenodo.org/record/5098356</p> <p>May 2020.&nbsp; This model has now been updated. Please see NZwide2.2 model which contains 3D seismic velocity and Qs and Qp models, incorporating recent regional 3D studies, at zenodo.org/record/3779523</p> <p>----------------------------------------</p> <p>New Zealand Wide model 2.1 has a seismic velocity model for New Zealand, developed from local-earthquake tomography studies.&nbsp; It is updated to include the Otago model (Reyners et al., 2017).</p>

opencc-by-4.0Nov 2017View details →
zenodo44/100

Velocity and temperature data from Lake Geneva (CH), collected during year 2016

<p>Data collected by 4 Acoustic Doppler Current Profilers (ADCPs) in Lake Geneva (Switzerland), during year 2016. The four files include velocity data, vertically averaged using the depth bins with sufficiently good quality, and corresponding frequency spectra. Temperature data recorded by the ADCPs, at the instruments depth, are also provided, as well as their frequency spectra. All files also include the results from a numerical model of the lake hydrodynamics, at the positions of the ADCPs and at overlapping times.</p> <p>All files are in HDF5 format, and include relevant metadata.</p> <p>Summary of datasets:</p> <ul> <li><strong>16A</strong>, deployed at (517, 137)km (CH1903 coordinates), measured depth range (velocity) 10-70m, deployed on 8 July 2016, recovered on 2 November 2016. ADCP deployed at the bottom, depth of 82m, vertical resolution of 2m.</li> <li><strong>16B</strong>, deployed at (511, 138)km (CH1903 coordinates), measured depth range (velocity) 15-37m, deployed on 8 July 2016, recovered on 29 October 2016. ADCP deployed at the bottom, depth of 45m, vertical resolution of 1m. Data from this ADCP&nbsp; has a low signal-to-noise ratio for velocity.</li> <li><strong>16C</strong>, deployed at (529, 150)km (CH1903 coordinates), measured depth range (velocity) 15-65m, deployed on 18 July 2016, recovered on 16 December 2016. ADCP deployed at the bottom, depth of 77m, vertical resolution of 2m.</li> <li><strong>16D</strong>, deployed at (554, 139)km (CH1903 coordinates), measured depth range (velocity) 15-85m, deployed on 23 September 2016, recovered on 23 January 2017. ADCP deployed at a depth of 90m, bottom depth of approximately 130m, vertical resolution of 2m.</li> </ul> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>

opencc-by-sa-4.0Dec 2017View details →
zenodo44/100

Supporting Information for "New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost Mediterranean"

<p>These files comprise supplementary information for the paper entitled "New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost Mediterranean" (S&aacute;nchez-Rold&aacute;n et al., 2024a)</p> <p>These results were obtained after performing a relocation using the 3D P-wave velocity model mTAB3D (S&aacute;nchez-Rold&aacute;n et al. 2024b).</p> <p>In "Files.zip", we provide the eight files with the absolute locations and the uncertainty parameters (extracted from the 68% confidence ellipse of the PDF&rsquo;s) obtained after performing the relocation using mIGN1D and mTAB3D. The absolute location files follow this format:</p> <p>origin_time(YYYY-mm-ddTHH:MM:SS) longitude(&ordm;) latitude(&ordm;) depth(km) magnitude(mbLg)</p> <p>&bull; origin_time: Hypocenter&rsquo;s origin time after the relocation.</p> <p>&bull; longitude: Hypocenter&rsquo;s longitude in decimal degrees after the relocation.</p> <p>&bull; latitude: Hypocenter&rsquo;s latitude in decimal degrees after the relocation.</p> <p>&bull; depth: Hypocenter&rsquo;s depth in kilometers.</p> <p>&bull; magnitude: Hypocenter&rsquo;s magnitude (mbLg) computed by the Spanish Seismic Network.</p> <p>The files with the uncertainty values:</p> <p>horizontal_uncertainty(km) vertical_uncertainty(km) rms(s) no_arrivals</p> <p>&bull; horizontal_uncertainty: Obtained after computing the geometrical mean between the horizontal semi-minor and semi-major axes of the 68% confidence ellipse in kilometers.</p> <p>&bull; vertical_uncertainty: Vertical semi-axis of the 68% confidence ellipse.</p> <p>&bull; rms: root-mean-square of residuals at maximum likelihood or expectation hypocenter.</p> <p>&bull; no_arrivals: number of readings used for the absolute location.</p> <p><br>File S1. File_S1.dat: Eastern Betics Shear Zone catalog&rsquo;s absolute locations with mIGN1D.</p> <p>File S2. File_S2.dat: Eastern Betics Shear Zone catalog&rsquo;s statistics with mIGN1D.</p> <p>File S3. File_S3.dat: Eastern Betics Shear Zone catalog&rsquo;s absolute locations with mTAB3D.</p> <p>File S4. File_S4.dat: Eastern Betics Shear Zone catalog&rsquo;s statistics with mTAB3D.</p> <p>File S5. File_S5.dat: Al Hoceima 2016 catalog&rsquo;s absolute locations with mIGN1D.</p> <p>File S6. File_S6.dat: Al Hoceima 2016 catalog&rsquo;s statistics with mIGN1D.</p> <p>File S7. File_S7.dat: Al Hoceima 2016 catalog&rsquo;s absolute locations with mTAB3D.</p> <p>File S8. File_S8.dat: Al Hoceima 2016 catalog&rsquo;s statistics with mTAB3D.</p> <p>Additionally, we provide two figures showing the location of those hypocenters (alboran.jpg and ebsz.jpg), which are included as Figures 3 and 5, respectively, in S&aacute;nchez-Rold&aacute;n et al. (2024a).</p> <p>References:</p> <p><span>S&aacute;nchez-Rold&aacute;n, J. L.</span>, <span>&Aacute;lvarez-G&oacute;mez, J. A.</span>, <span>Mart&iacute;nez-D&iacute;az, J. J.</span>, <span>Herrero-Barbero, P.</span>, <span>Perea, H.</span>, <span>Cantavella, J. V.</span>, &amp; <span>Lozano, L.</span> (<span>2024a</span>). <span>New 3D velocity model (mTAB3D) for absolute hypocenter location in southern Iberia and the westernmost mediterranean</span>. <em>Earth and Space Science</em>, <span>11</span>, e2023EA00299. <a href="https://doi.org/10.1029/2023EA002993">https://doi.org/10.1029/2023EA002993</a></p> <p>S&aacute;nchez-Rold&aacute;n, J. L., &Aacute;lvarez-G&oacute;mez, J. A., Mart&iacute;nez-D&iacute;az, J. J., Herrero-Barbero, P., Perea, H., Lozano, L., &amp; Cantavella, J. V. (2024b). MTAB3D: a 3-D velocity model for absolute hypocenter location in southern Iberia and westernmost Mediterranean. (v1.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.7766525" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.7766525</a></p> <div>&nbsp;</div> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo44/100

IODP Expedition 379 P-wave velocity bayonet (section)

P-wave velocity data were measured on undisturbed section halves using pairs of piezoelectric transducers mounted in bayonets that are inserted into soft sediment along the JRSO-defined y-axis and/or z-axis. Report includes P-wave velocity in y and/or z direction, bayonet separation, traveltime between transducers, and first arrival picks.

opencc-by-4.0Feb 2021View details →
zenodo44/100

IODP Expedition 379 P-wave velocity caliper (section/discrete)

P-wave velocity data were measured on undisturbed section halves (JRSO-defined x-axis) and/or discrete cube and cylinder samples (x, y, or z-axis) using pairs of piezoelectric transducers mounted on a caliper system. Report includes P-wave velocity in x, y, and/or z-direction, caliper separation, traveltime between transucers, and first arrival picks.

opencc-by-4.0Feb 2021View details →

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