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161 results for “Numerical Simulation”
Lower ionospheric disturbances due to geomagnetic storms of March & April 2023: inferred from VLF navigational signals and numerical simulations
<p>This is VLF data used in the research paper as per title</p>
Movies of the simulations performed in Baïsset et al. paper entitled « Weakening induced by phase nucleation in metamorphic rocks: insights from numerical models »
<p>Here you can find the movies of the evolution of the accumulated plastic strain of the simulations performed in the study. You will also find the table that summarizes the conditions of the different simulations (Table 1), as well as the colorbar (legend.png) corresponding to all the movies.</p>
Dataset for the numerical simulation in the article "Catalytically biased self-assembly by hybridization of reversibility and irreversibility in a reaction network"
<p>This dataset includes the essential source code and the corresponding numerical data for the self-assembly of a M6L4 square-based pyramid (SP) complex. </p> <p>The associated study is described in </p> <p><strong>"Catalytically biased self-assembly by hybridization of reversibility and irreversibility in a reaction network"</strong>, by T. Abe, S. Takahashi, H. Sato, and S. Hiraoka.</p>
Numerical simulation data of a two-dimensional flow around a fixed circular cylinder
<p>Numerical results of a two-dimensional flow past a fixed circular cylinder in the vortex shedding regime. The solver is Cadyf, an in-house fluid-structure interaction code using finite element method (<a href="https://doi.org/10.1016/j.jcp.2008.11.032">doi.org/10.1016/j.jcp.2008.11.032</a>). The Reynolds number is Re = 100. The boundary conditions and numerical integration are described in <a href="https://doi.org/10.1017/jfm.2021.252">doi.org/10.1017/jfm.2021.252</a>.</p> <p>The fixed_cylinder_atRe100 raw file contains the values of the flow velocity, pressure, and node coordinates at each time step. Tables of the results can be extracted using the file processing code in text_flow.py.</p> <p>The Re100_fixe00.reactions raw file contains the values of the total force and torque applied on the cylinder at each time step. Tables of the results can be extracted using the file processing code in reactions_process.py.</p>
Numerical simulation of supercell thunderstorms (at 50 meter resolution) associated with above anvil cirrus plumes
<p>Four-dimensional data from high-resolution simulations (50 meter grid spacing) of supercell thunderstorms conducted on the Frontera supercomputer are contained in this archive. Output from two simulations is included, named "Strong" and "Weak". In the Strong simulation, data from parcel trajectories is also included. </p> <p>The four-dimensional (time, and three dimensions of space) data and parcel data is saved in Network Common Data Format (NetCDF), version 4, an open-source self-describing scientific data format commonly used in the atmospheric sciences. </p>
Relevant data for numerical simulation of Xiangjiao post-fire debris flow
<p>This is a data set used for numerical simulation analysis of post-fire debris flow in Xiangjiao catchment, Sichuan Province, including the original rainfall data on the day of the debris flow event, the interpolated rainfall data, and some relevant experimental data. If you have any questions in the process of using these data, you can contact the email: 622200090027@mails.cqjtu.edu.cn.</p>
Supporting data for "The time scale of shallow convective self-aggregation in large-eddy simulations is sensitive to numerics"
<p>Numerical settings, routines and post-processed data used to generate the figures presented in "The time scale of shallow convective self-aggregation in large-eddy simulations is sensitive to numerics", manuscript submitted to Journal of Advances in Modeling Earth Systems. This version is an update after accounting for comments of three reviewers to the submitted manuscript.</p>
Data for "Convective Organization and Dry Tropical Cyclones in Direct Numerical Simulations of Idealized Fluid Setups"
<p>Supporting data and analysis scripts for work contained in the manuscript Velez-Pardo, Martin & Cronin, Timothy W. (2023) Convective Organization and Dry Tropical Cyclones in Direct Numerical Simulations of Idealized Fluid Setups. README and scripts for running simulations and for data post-processing are found in README_and_scripts.zip. Data obtained using supercomputer Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory (CISL), sponsored by the National Science Foundation.</p>
Evaluations on numerical simulations of ozone dry deposition over the Yangtze River Delta
<p>Regional simulation of ozone dry deposition is an important tool for understanding ozone pollution threats and quantifying the ozone impact on terrestrial ecosystems. In this study, we evaluate ozone dry deposition in the Yangtze River Delta (YRD) region using two different dry deposition schemes. The WRF-Chem model, Wesely dry deposition scheme, and revised Surfatm dry deposition scheme were used to simulate the ozone dry deposition process in the YRD region, and results are compared with the observation over a winter wheat field. The results show that the simulated ozone concentrations (<em>c</em><sub>O3</sub>) of the two dry deposition schemes were good and lower than the measurements. The simulated ozone dry deposition velocity (<em>V</em><sub>d</sub>) in the Surfatm dry deposition scheme was more close to the measurements. The mean value of <em>c</em><sub>O3 </sub>and <em>V</em><sub>d</sub> in the YRD region ranged from 30 to 50 nL·L<sup>−1</sup> and from 0.2 to 0.5 cm·s<sup>−1 </sup>in the daytime, respectively. To improve the simulation results of the ozone dry deposition process, the simulation errors due to different land use types, the meteorological factors on dry deposition resistance functions, and the influence of chemical reactions must all be considered.</p>
LiftWEC deliverable 3.6 - Part II: Dataset from numerical simulations of full-scale LiftWEC device using a high-fidelity RANS model
<p>This dataset contains the numerical simulation results for a full-scale LiftWEC device in regular and irregular wave conditions. The regular wave cases occur at static pitch and fixed rotational velocity. The parameters used for these cases are described in the corresponding *CaseParameters.csv file. These simulations were used to derive a first estimate of the maximum conversion efficiency of the rotor from wave power to shaft power. A detailed description of the employed numerical model and the case setup can be found in LiftWEC deliverable 3.6 Hydrodynamic Validation of Final Design, which was also uploaded to the LiftWEC community on zenodo. In accordance with the coordinate system definition used in the validation case, a relative phase angle of 270° degree corresponds to foil1 at 3 o'clock position while the wave crest passes over the rotor axis position. Rotation is clockwise, Rotor rotates in the direction of orbital wave particle velocities.</p> <p>The control reference case describes the first test case of a cyclorotor in irregular waves under active control of angular velocity and foil pitch. This case is also documented in deliverable D3.6. The case files can be used to recreate wave conditions and motion signal. The load-file can be used to validate the obtained tangential and radial forces on foil 1 as well as the total power output over time. More information on the control model can be found in the corresponding project deliverables D5.X.</p> <p>All loads given as values per unit span length (e.g. for forces [N/m]).</p>
Dataset and supporting materials of "Numerical simulation of orographic gravity waves observed over Syowa Station. Part 1: Wave propagation and breaking in the troposphere and lower stratosphere" by Kohma et al.
<p>Dataset and supporting materials of "Numerical simulation of orographic gravity waves observed over Syowa Station. Part 1: Wave propagation and breaking in the troposphere and lower stratosphere" by Kohma, M., K. Sato, D. C. Fritts, & T. S. Lund.</p>
Supplementary Material: Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area
<p>Seismic waves can couple with the atmosphere and generate sound waves. The influence of faulting mechanisms on earthquake sound patterns provides opportunities for earthquake source characterization. Sound radiated from earthquakes can be perceived as disturbing, even at low ground-shaking levels, which can negatively impact the social acceptance of geoengineering applications. Motivated by consistent reports of felt and heard disturbances associated with the weeks-long stimulation of a 6-km-deep geothermal system in 2018 below the Otaniemi district of Espoo, Helsinki, we conduct fully coupled 3D numerical simulations of wave propagation in the solid Earth and the atmosphere. We assess the sensitivity of the ground shaking and audible noise distributions to the source geometry of the induced earthquakes based on the properties of the largest local magnitude ML 1.8 event. Utilizing recent computational advances and the open-source software SeisSol, we model seismoacoustic frequencies up to 25 Hz, thereby reaching the lower limit of the audible sound frequency range. We present synthetic distributions of shaking and audible sounds at the 50–100 m scale across a 12 km × 12 km area and discuss implications for better under- standing seismic nuisances in metropolitan regions. In five 3D coupled elastic–acoustic scenario simulations that include data on topography and subsurface structure, we analyze the ground velocity and pressure levels of earthquake-generated seismic and acoustic waves. We show that S waves generate the strongest sound disturbance with sound pressure levels ≤ 0.04 Pa. We use statistical analysis to compare our noise distributions with commonly used empirical relationships. We find that our 3D synthetic amplitudes are generally smaller than the empirical predictions and that the interaction of the source mechanism-specific radiation pattern and topography can lead to significant nonlinear effects. Our study highlights the complexity and information content of spatially variable audible effects associated with small induced earthquakes on local scales.</p>
Emulator of PR-DNS: Accelerating Dynamical Fields with Neural Operators in Particle-Resolved Direct Numerical Simulation
<p>The codes directory includes the various machine learning models, such as FNO, UNet and ResNet. R128_init1 and R128_init2 are the PR-DNS time step simulations at different initial conditions. R64_init2, R128_init2 and R256_init2 are the PR-DNS time step simulations at different resolutions. </p> <p> </p>
Two-dimensional Numerical Simulations of Mixing under Ice Keels Videos
<p>This deposition contains videos of all 16 two-dimensional mixing simulations of two-layered flow under the cross-section of an ice keel (see <a href="https://doi.org/10.5281/zenodo.8170312">https://doi.org/10.5281/zenodo.8170312</a> for the simulation code). </p> <p>The videos use a BWR color scale to depict the vorticity field with black density contours overlaid.</p> <p>The simulations are organized according to two dimensionless quantities that specify the setup: The bulk Froude number (F) and the dimensionless keel draft (H). The files are then named accordingly. For example, F15H20 is F=1.5 and H=2.0, F10H12 is F=1.0 and H=1.2, etc.</p>
A Benchmark Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis with Numerical Simulations
<p>This data is associated with <strong>(a) Figure 3.</strong> Comparison between the velocities obtained through analytical calculations and those estimated numerically, and <strong>(b) Figure 4.</strong> Comparison of the BTCs obtained through analytical calculations and those estimated numerically.</p>
Dataset and Software: Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations
<p>This repository contains experiment data and executable MATLAB codes for the research article 'Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations'.</p> <p>Contained within the experiment data file Valeetal_Data.Zip are:</p> <ul> <li>Temperature, melt and steam data separated by particle type. See files: <ul> <li>Ballotini_Data_Valeetal</li> <li>Pumice_Data_Valeetal</li> <li>Ruapehu_Data_Valeetal</li> </ul> </li> <li>Melt and steam summary data plots. See file: <ul> <li>Data_Plots_Valeetal</li> </ul> </li> <li>Document with figures to demonstrate system behaviours. See file: <ul> <li>Valeetal_SI01_JGR</li> </ul> </li> </ul> <p>Contained within the model data file Model_Repository.zip are simulation data and codes that implement, process, and plot numerical solutions to the mathematical model. See README.txt for a brief description of each file.</p> <p> </p>
Quantum turbulence in superfluid Fermi gas: results of numerical simulation
<p>Raw data of numerical simulation of quantum turbulence in superfluids Fermi gas.<br>Datasets are raw data used for publication: <br><em>Fermionic quantum turbulence: Pushing the limits of high-performance computing</em><br>by Gabriel Wlazłowski, Michael McNeil Forbes, Saptarshi Sarkar, Andreas Marek, and Maciej Szpindler<br><a href="https://doi.org/10.1093/pnasnexus/pgae160"><em>PNAS Nexus</em>, Volume 3, Issue 5, May 2024, pgae160</a></p>
Physical test and numerical simulation data and the amount of fish eggs in the study area
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Numerical simulation of supercell thunderstorms (at 50 meter resolution) associated with above anvil cirrus plumes
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Numerical simulation of cool hydrothermal processes in the upper volcanic crust beneath a marine sediment pond: North Pond, North Atlantic Ocean
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.