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969 results for “velocity”
Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset
<p>The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.</p> <p>The weather dataset is now included in version 2.</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>
Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise
<p><br>Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:</p> <p><strong>Folders:</strong></p> <p><strong>-dispersion_curves:</strong><br>inside this folder there is a .zip file that contains all the dispersion curves calculated;</p> <p><strong>-attenuation:</strong><br>comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;</p> <p><strong>-c:</strong><br>comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;</p> <p><strong>-scripts: </strong><br>contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.</p> <p>Inside the folder '<strong>inputs</strong>' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:</p> <p><strong>-raster: </strong><br>contains the topography raster used to plot the map of the study area;</p> <p><strong>-shapefiles:</strong><br>contains the shapefiles used in the regionalization analysis;</p> <p><strong>-station locations: </strong><br>contains the latitudes and longitudes of the stations used in this study.</p> <p> </p>
Seismic profiles, migration velocities and tomographic inversion results of the deep reflection profiles in the central South China
<h1><strong>Overview</strong></h1> <p>The following set of data and scripts are meant to accompany the paper:</p> <p>Jiang, W. B., Wang, Q., Zhang, Y.Q., Dong, S.W., Ruan, Y.Q., Cui, J.J., Kuang, Z.Y., Paleoproterozoic collision to Mesozoic crustal reworking in central South China: evidence from borehole data and seismic crustal structure, Submitted to JGR: Solid Earth</p> <p>The data and scripts are intended to reproduce seismic profiles, migration velocities, and tomographic inversion results shown in the paper.</p> <p>The repository contains five directories:</p> <p><strong>./01_Seismic_Profiles/</strong> -> Four seismic profiles shown in the manuscript. (1) psdm_line01.sgy (Figure 7a); (2) psdm_line02.sgy (Figure 7b); (3) SCB_PSDM.segy (Figure 9); (4) SCB_PSTM.segy (Figure S5a).</p> <p><strong>./02_Tomographic_Data_Velocity/</strong> -> picked_traveltimes.tt, picked traveltime for the normal shots (Figure 6a). The file contains location of shots and receivers, picked traveltimes; Tomo_inv.mdl, P-wave velocity model derived from first-arrival traveltime tomography (Figure 8a); Tomo_Fx1_Fz1_ray.mdl, Ray density distribution calculated using the Vp model (Figure 8b); traveltime_data_FILE_FORMAT.pdf, this pdf file describes the format of *.tt file; mdl_data_FILE_FORMAT.pdf, this pdf file describes the format of *.mdl file.</p> <p><strong>./03_Migration_Velocity_Models/ </strong>-> Migration velocity models to produce prestack time migration profile and prestack depth migration profile. VEL_RMS.mdl, RMS velocity field used in prestack time migration (Figure S4a); VEL_INTERVAL.mdl, Interval velocity field used in prestack depth migration (Figure S4b).</p> <p><strong>./04_Bouguer_Gravity_Anomaly/ </strong>-> gravity_data.grv, the Bouguer gravity anomaly data used in 2-D gravity modelling; gravity_data_FILE_FORMAT.pdf, this pdf file describes the format of *.grv file.</p> <p><strong>./05_Scripts/</strong> -> Matlab scripts to reproduce seismic profiles, migration velocities, and tomography inversion results shown in the paper. </p>
Unique composition and evolution histories of low velocity mantle domains: Data and analysis
<p>Dataset and Jupyter notebook accompanying 'Unique composition and evolution histories of low velocity mantle domains'. </p> <p>Dataset includes:</p> <ul> <li>Present day properties of simulated mantle for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, PRM, MER.</li> <li>Present day predicted seismic properties for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, MER.</li> <li>Present day predicted seismic properties for simulation PRM assuming 'primordial' material to be i) basaltic oceanic crust ii) chondrite enriched basalt (CEB).</li> <li>Present day delta Vs for simulations RCY, B=0.22, B=0.44, visc2, visc3, CMB2600, CMB2800, COMP, PRM, MER, filtered using the resolution of seismic tomography model S40RTS.</li> <li>Properties of simulated mantle at 100 Myr intervals from 900 Ma - 100 Ma inclusive for simulation RCY. </li> <li>P-T tables with predicted abundance of post-perovskite for different mantle lithologies (harzburgite, lherzolite and basalt - as defined in the paper).</li> </ul> <p>Jupyter notebook `s-llvps.ipynb` contains code for identifying simulated large low-velocity provinces (S-LLVPs), extracting assoicated model properties and plotting results. Python module files terra_utils.py and ppv.py are also included and required by the code in the notebook. </p> <p>There are a number of pre-requisite packages that will need to be installed in order to run the Jupyter notebook, including <a title="terratools" href="https://github.com/mantle-convection-constrained/terratools" target="_blank" rel="noopener">terratools</a>, a software package written specifically for reading and postprocessing outputs from TERRA simulations. Installation instructions can be found on the GitHub repository. </p> <p>Due to the TERRA code pre-dating open source licensing, we do not currently have permission to publicly share all aspects of the code. In code_pieces.F90 we include code snippets which were implemented for this study. </p> <p>Simulations were conducted using ARCHER2, the UK's national super-computing service. </p> <p>RCY.mp4 is a movie produced for simualtion RCY, visualising the evolution of temperature (right panels) and bulk composition (left panels). Hot iso-surface (red) drawn at +500 K and cold iso-surface (blue) drawn at -400 K, composition iso-surface drawn at C=0.6. Red and blue lines indicate overlying ridges / subduction zones taken from the plate motion reconstructions of Müller et al (2022). </p>
Salinity and horizontal components of velocity of the eastern part of the Black Sea
<p>The high resolution Black Sea circulation in 2008 - 2009 from numerical simulations obtained with NEMO modeling framework v 3.6 [Madec et al., 2016]. Such a resolution was used in order to reproduce meso- and submesoscale dynamics in the so-called Euxinus cascade, including basins of the Azov, Black and Marmara Seas [Mizyuk, Puzina, 2019; Mizyuk, Korotaev, 2020].</p> <p>Below the brief description of the developed regional configuration is presented. The horizontal grid is a quasi-uniform geographical mesh with a resolution of 1/96° × 1/69° northward and eastward correspondingly. The model bottom topography is based on bathymetric data from the EMODnet v1 digital elevation model (URL: <a href="http://www.emodnet-bathymetry.eu/">http://www.emodnet-bathymetry.eu</a>). To reproduce adequate flow values through the Bosphorus Strait, the "partially closed cell” technique was used [Madec et al., 2016]. The calculation was carried out for the period 2008-2009. For vertical descritisation we used a partial step z-coordinate. The time step of 1 min was chosen.</p> <p>Vertical turbulent mixing was performed using the k – ε model [Rodi, 1987]. The lasteral diffusion on momentum and tracers described with the bilaplacian operator. The corresponding values for turbulent viscosity and diffusivity are (-4 10<sup>7</sup> m<sup>4</sup>/s) and (-8 10<sup>6</sup> m<sup>4</sup>/s).</p> <p>The vector form was used for momentum equations with an energy and enstrophy conserving scheme. Advection terms of tracer equations are calculated with the TVD scheme [Zalesak, 1979] . The UNESCO formula is used as the equation of state. The sea surface height is calculated using split-explicit scheme.</p> <p>The initial temperature and salinity for the Black Sea (BS) basin were taken from BS Marine Forecasting Center (<a href="http://mis.bsmfc.net:8080/thredds/catalog.html">http://mis.bsmfc.net:8080/thredds/catalog.html</a>). For the Sea of Marmara the initial conditions are taken from the product of the Global Ocean reanalysis of CMEMS (<a href="http://www.marine.coperniucs.eu/">www.marine.coperniucs.eu</a>).The initial conditions for the basin of the Azov Sea were considered as climate data obtained using an optimal interpolation procedure of all available in-situ measurements provided by CMEMS in-situ TAC and SeaDataNet project (<a href="https://www.seadatanet.org/">https://www.seadatanet.org/</a>).</p> <p>Surface boundary conditions were obtained the product of ECMWF ERA5 reanalysis [Hersbach et al., 2020] with the spatial resolution of 1/4° and time resolution of 1 h. Open boundary conditions for Marmara Sea.</p>
Central and Eastern Himalaya glacier velocities 2017-2019 (Sentinel 2)
<p> </p> <p>This dataset contains the median glacier surface velocity for the Central and Eastern Himalaya glacier velocities 2017-2019 (Sentinel 2). The velocities have been obtained by feature-tracking of November Sentinel 2 images spaced 1 year apart.</p> <p>The folder contains the following fields at 80 m resolution in GeoTiff format:</p> <ul> <li>the velocity magnitude 'vel' (meters per year)</li> <li>the x/y velocity components x_vel/y_vel (meters per year)</li> <li>the associated errors err, x_err, y_err (meters per year)</li> <li>the median absolute deviation of all the merged velocities 'MAD' (meters per year)</li> <li>the number of image pairs that have been merged in the median</li> </ul> <p>I recommend filtering data with error larger than 5 m/yr.</p> <p> </p> <table> <caption>Metadata Properties</caption> <tbody> <tr> <td>CRS</td> <td>EPSG:32645 - WGS 84 / UTM zone 45N - Projected</td> </tr> <tr> <td>Extent</td> <td>9425.6070999999992637,3045085.1858000000938773 : 883803.9936000000452623,3368628.0986000001430511</td> </tr> <tr> <td>Unit</td> <td>meters</td> </tr> <tr> <td>Width</td> <td>11192</td> </tr> <tr> <td>Height</td> <td>3981</td> </tr> <tr> <td>Data type</td> <td>Float32 - Thirty two bit floating point</td> </tr> </tbody> </table> <p> </p>
2D P-wave velocity model of the northern Hikurangi margin.
<p>You should find three files attached that include (1) a table that maps x-coordinates to longitude/latitude, (2) the Vp model with columns for x, depth, and Vp, and (3) a table of interfaces that include the topography (value 1) and the Moho (value 2). The zero x coordinate is arbitrarily the location of the westernmost shot in the Bay of Plenty from the SHIRE seismic survey of 2017, so x values range from ~190 to 400 km.</p> <p>This P-wave velocity model is presented in: Gase, Andrew C., et al. "Crustal structure of the northern Hikurangi margin, New Zealand: Variable accretion and overthrusting plate strength influenced by rough subduction." <em>Journal of Geophysical Research: Solid Earth</em> 126.5 (2021): e2020JB021176.</p>
Laboratory Open Channel Flow: Video, Waterlevel and Surface Velocity
<p>Video footage of an open channel flow in a laboratory setting, associated with the surface velocity and water level.</p> <p><br> - Video footage was collected using a Raspberry Pi Camera Module v2 attached to a Raspberry Pi 4 at 25fps from three positions and split into roughly 15s chunks.<br> - A "mic+35/IU/TC" ultrasonic sensor (accuracy: ±1%) measured the water level<br> - A "Nortek Vectrino" (accuracy: ±1% ±1mm/s) velocimeter measured the velocity at the surface</p> <p> </p> <p>- The video files can be found in the folders position1, position2 and position3, each file name contains the initial timestamp to match frames to the measurements<br> - The file "waterlevel.csv" contains the timestamps, Waterlevel [mm] and Percentage Full [%]. The waterlevel column is reversed, as the distance between the sensor and the surface was measured. This means, that lower values correspond to higher water levels.<br> - The file "velocity.csv" contains the timestamps and surface velocity measurements [m/s]</p>
Genome-wide mapping of individual replication fork velocities using nanopore sequencing
<p>These data are related to the <strong>"Genome-wide mapping of individual replication fork velocities using nanopore sequencing" </strong>manuscript by Theulot, Lacroix et al. (https://doi.org/10.1038/s41467-022-31012-0) and to the GitHub repository NanoForkSpeed (https://github.com/LacroixLaurent/NanoForkSpeed).</p> <p>BT1_run4.tar.gz contains the nanopore reads from a typical experiment as fast5 files.</p> <p>BT1_run4_mega.zip contains the result of the BrdU basecalling as described on the GitHub page in a modified bam file format as described on the GitHub page NanoForkSpeed/BrdU_Basecalling..</p> <p>BT1_run4_Megalodon_00_smdata.rds contains the result of the parsing function for the modified bam file as described on the GitHub page NanoForkSpeed/BrdU_Basecalling.</p> <p>BT1_run4_Megalodon_00_NFS_data.rds contains the result of the fork detection procedure on the BT1_run4_Megalodon_00_smdata.rds file as described on the GitHub page NanoForkSpeed/Forks_Detection.</p> <p>BT1_run4_merged_NFS_data.rds contains the result of the NFS_merge function as described on the GitHub page NanoForkSpeed/Forks_Detection.</p> <p> </p>
La Laguna Catchment, Chile - Surface Elevation Change and Velocity Rasters
<p>Datasets from Robson et al 2022. The zip contains two sub-folders:</p> <p>1) Surface elevation changes 1956 to 2020 with time steps 1956 - 1978, 1978 - 2000, 2000 - 2012, 2012 - 2015, 2015 - 2020. Datasets cover Tapado Glacier, La Laguna Catchment, Chile. Additionally surface elevation changes 2012 - 2020 covering rock glaciers in the La Laguna catchment are included.</p> <p>2) Surface velocity raster (annual displacements between 2012 and 2020) for glaciers and rock glaciers in the La Laguna catchment.</p> <p>For details on the processing, please refer to the publication:</p> <p> Robson, B. A., MacDonell, S., Ayala, Á., Bolch, T., Nielsen, P. R., and Vivero, S (2022). Glacier and Rock Glacier changes since the 1950s in the La Laguna catchment, Chile, The Cryosphere</p> <p> </p>
OPTIMA - average droplet velocity per droplet size interval - carrot boom sprayer
<p>Spray droplet velocity (average ± SD; m/s) per droplet size interval for 9 nozzle types, measured at 300 kPa and 50 cm below the nozzle using a PDPA laser based measuring set-up.</p> <p>Read 'Info' tab for more information.</p> <p>Data presented in Zwertvaegher et al. (2022). Boom sprayer optimizations for bed-grown carrots at different growth stages based on spray distribution and droplet characteristics. Pest Management Science. https://onlinelibrary.wiley.com/doi/10.1002/ps.6792 </p>
Hydrographic and velocity data during Leg 1 of the R/V Hespérides MOC2 cruise, 7-18 April 2010, western equatorial Atlantic
<p>This dataset consists of 47 CTD and LADCPs casts from the sea surface down to 5000 m. These hydrographic casts were done during the first leg of the MOC2-Equatorial oceanographic cruise, which took place in the western equatorial Atlantic (5°S-5°N; 46°W-30°W] between 7 and 18 April 2010, onboard the R/V Hespérides. Temperature and conductivity were obtained with a SeaBird 911-Plus multi-probe system mounted on a 24 Niskin-bottle rosette that collected water samples at standard depths, which were used to calibrate the conductivity data. Duplicate temperature and conductivity sensors were used as a quality control measure. The LADCPs were RDI 300 kHz Workhorse Monitor instruments used in synchronized master-slave mode. The system was set to a ping-rate of 1 ping/s and a bin length of 10 m, and the data was processed using the IFM-GEOMAR LADCP software, Version 10.8. The LADCPs velocity data were de-tided using the TPXO.3 global model of ocean tides. The netcdf file MOC2_leg1.nc contains data interpolated linearly every 1 m from surface to 1500 m depth.</p>
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae- in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae-
Microstructure and velocity data collected near Velasco Reef during the June 2016 FLEAT field program
<p>Data used in Wynne-Cattanach et al paper, "Measurements of turbulence generated by wake eddies near a steep headland"</p>
IODP Expedition 372A P-wave velocity bayonet (section)
<p>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.</p>
IODP Expedition 372A P-wave velocity caliper (section/discrete)
<p>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.</p>
IODP Expedition 374 P-wave velocity caliper (section/discrete)
<p>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.</p>
IODP Expedition 374 P-wave velocity bayonet (section)
<p>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.</p>
IODP Expedition 374 P-wave velocity logger (whole round)
<p>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.</p>
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