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161 results for “Numerical Simulation”

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zenodo32/100

Data of Numerical simulation data and experimental data for vertical mixing schemes

<p>This&nbsp;dataset&nbsp;contains the&nbsp;Numerical simulation data and experimental data in paper_data file. The new scheme is saved in the &#39;mypackage&#39; folder in paper_code file.</p>

opencc-by-4.0Apr 2023View details →
dryad32/100

Data from: Combining micro-volume isotope analysis and numerical simulation to reproduce fish migration history

Open the record for dataset details and reuse information.

publicOct 2018View details →
zenodo28/100

Numerical simulations of meanders migrating laterally as they incise into bedrock

<p>The date is related to numerical simulation results in the paper submitted to JGR-ES.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Data for the hydrodynamic, salinity and temperature 2D numerical simulation at Cádiz Bay (Spain)

<p>The dataset included in this repository was used to perform numerical simulations of hydrodynamics, salinity and temperature in the Bay of C&aacute;diz, including the calibration and testing of the model. The simulation were performed with a 2D implementation of the Delft3D model.&nbsp;&nbsp;<br> Brief description of the files included in the dataset:</p> <ul> <li>REDEXT_T_HIS_GolfoDeCadiz is a text file with the data from buoy 2342 used to define the offshore boundary conditions for waves (Hm0, Tp, Dmd), salinity (Sa2) and temperature (Ts2), and the wind forcing (Vv_md, Dv_md). See heading for variable units.&nbsp;</li> <li>Field_data.mat: this file contains the field data used to calibrate and validate the model. There is one structure for each of the five instruments deployed (I1, I2, I3, I3a and I3b) with measurements from acoustic Doppler current profilers (ADCPs) and conductivity-temperature (CTs) devices. For each instruments, data are split by calibration and testing periods. The variables therein are: <ul> <li>X and Y: X and Y UTM 30S coordinates of the deployment location</li> <li>time: date of the data in julian days</li> <li>pressure: pressure data (m)</li> <li>vE and vN: East and North depth average velocities (m/s)</li> <li>sal: depth-average salinity (psu)</li> <li>temp: depth-average water temperature (&ordm;C)</li> </ul> </li> <li>Heat_model.mat: a file containing the variables needed for the heat model. The values correspond to the closest station to the C&aacute;diz bay and were considered as representative of the condition therein. The variables are: <ul> <li>Time: date in Julian days</li> <li>Cloudiness: daily-average cloudiness (%)</li> <li>Humidity: daily-average atmospheric relative humidity (%)</li> <li>Radiation: daily-average (short wave) solar radiation (W/m2)</li> <li>Temperature: daily-average air surface temperature (&ordm;C)</li> </ul> </li> <li>Flow_wave.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with online coupling of the Flow and Wave modules, including the harmonics of the astronomical tide in the .bca file</li> <li>Flow.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with only the Flow module activated.&nbsp;</li> </ul> <p>Some of the files are binary (.mat format) but can be easily read using open source tools (e.g., Python or Octave).</p> <p>The research leading to this dataset was founded by&nbsp;the Bay of Cadiz Port Authority and the Department of Innovation, Science and Business of the Andalusian Regional Government (Project P09-TEP-4630), the Spanish Ministry of Economy and Competitiveness through the Projects CTM2017-89531-R (PIRATES), CTM2017-82274-R (MICROBAHIA2) and by the <em>&ldquo;Programa Iberoamericano de Ciencia y Tecnolog&iacute;a para el Desarrollo&rdquo;</em>, CYTED (project PROTOCOL 917PTE0538). The authors would also thank to the staff of the Environmental Fluid Dynamics research group (GDFA, University of Granada) for their support during the field survey. The&nbsp;first author was partially funded by the Andalusian Regional Government, Research Grant RNM-6352.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Three-dimensional numerical simulation of the interseismic and coseismic phases associated with the 6 April 2009, Mw 6.3 L'Aquila earthquake (Central Italy)

<p>Results&nbsp;of the numerical model&nbsp;expressed in terms of nodal stresses, strains and displacements at the end of the interseismic and coseismic phases.</p>

opencc-by-4.0Jul 2020View details →
dryad28/100

Data from: Numerical simulation of the free surface and water inflow of a slope, considering the nonlinear flow properties of gravel layers: a case study

Groundwater is an important factor of slope stability, and ninety percent of slope failures are related to the influence of groundwater. In the past, free surface calculations and the prediction of water inflow were based on Darcy's law. However, Darcy's law for steady fluid flow is a special case of non-Darcy flow, and many types of non-Darcy flows occur in practical engineering applications. In this paper, based on the experimental results of laboratory water seepage tests, the seepage state of each soil layer in the open-pit slope of the Yanshan Iron Mine, China, were determined, and the seepage parameters were obtained. The seepage behaviour in the silt layer, fine sand layer, silty clay layer, and gravelly clay layer followed the traditional Darcy law, while the gravel layers showed clear nonlinear characteristics. The relation among the permeability, the porosity and the non-Darcy coefficient is investigated. A coupled mathematical model is established for two flow fields, on the basis of Darcy flow in the low-permeability layers and Forchheimer flow in the high-permeability layers. In addition, we considered the effect of the seepage in the slope on the transition from Darcy flow to Forchheimer flow. Then, a numerical simulation was conducted by using finite element software (LELAC 2.2). The results indicate that the free surface calculated by the Darcy-Forchheimer model is in good agreement with the in situ measurements; however, there is an evident deviation of the simulation results from the measured data when the Darcy model is used. Through a parameter sensitivity analysis of the gravel layers, we found that the height of the overflow point and the water inflow calculated by the Darcy-Forchheimer model are consistently less than those of the Darcy model, and the discrepancy between these two models increase as the permeability increases. The necessity of adopting the Darcy-Forchheimer model was explained.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Numerical simulations of targeted delivery of magnetic drug aerosols in the human upper and central respiratory system: a validation study

In the present study, we investigate the concept of the targeted delivery of pharmaceutical drug aerosols in an anatomically realistic geometry of the human upper and central respiratory system. The geometry considered extends from the mouth inlet to the 8th generation of the bronchial bifurcations and is identical to the phantom model used in the experimental studies of [Banko {em et al.} (2015), Exp. Fluids, {bf 56} (117):1-12]. In our computer simulations, we combine the transitional Reynolds-Averaged Navier-Stokes (RANS) and the wall-resolved Large Eddy Simulation (LES) methods for the air phase with the Lagrangian approach for the particulate (aerosol) phase. We validated simulations against recently obtained magnetic resonance velocimetry (MRV) measurements of [Banko {em et al.} (2015), Exp. Fluids, {bf 56} (117):1-12] that provide full a 3D mean velocity field for steady inspiratory conditions. Both approaches produced good agreement with experiments, and the transitional RANS approach is selected for the multi-phase simulations of aerosols transport, because of significantly lower computational costs. The local and total deposition efficiency are calculated for different classes of pharmaceutical particles (in the $0.1mu$m$le d_{rm p} le 10mu$m range) without and with a paramagnetic core (the shell-core particles). For the latter, an external magnetic field is imposed. The source of the imposed magnetic field was placed in the proximity of the first bronchial bifurcation. We demonstrated that both total- and local-depositions of aerosols at targeted locations can be significantly increased by an applied magnetization force. This finding confirms the possible potential for further advancement of the magnetic drug targeting (MDT) technique for more efficient treatments for respiratory diseases.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Numerical simulation of induced cutting in deep coal

Deep coal cutting is a hot research topic at present. In this paper, the cutting technology of three-drum shearer was proposed based on previous studies. Besides, the influence of confining pressure on coal cutting performance was studied by using the discrete element method, and the induction effect of central cutting on coal cutting performance was discussed. Moreover, coal cutting with different boundary conditions was simulated with the aid of PFC2D software. The results show that as the confining pressure increases, the model dominated by tensile failure does not change, but the crack gradually develops from the vertical direction to the free surface of coal. The cutting debris first increases and then decreases, so does the cutting force. Under the effect of central cutting, the crack tends to develop towards the free surface of coal more, and both the peak cutting force and the specific energy consumption increase with the increase of confining pressure. Induced by central cutting, with the increase of confining pressure, the reduction value of peak cutting force increases first and then decreases while the reduction value of cutting specific energy consumption increases.

opencc-zeroAug 2019View details →
zenodo28/100

Chaotic Dynamics in a Two-Droplet Pilot Wave System: A Numerical Simulation

<p>Data set and results for our university modeling project.</p>

opencc-by-4.0Jul 2022View details →
dryad28/100

Dataset for: Numerical simulations of sheared granular materials by 3D DEM for analyzing formation of internal structures and relationship between it and frictional behavior

<p>We conducted numerical simulations of sheared granular materials under normal stress by using 3D DEM method in order to analyze internal structures and relationship between their formation and frictional behavior. This dataset includes raw data for plotting figures in our article and run scripts and CAD files for simulations.</p>

opencc-zeroOct 2022View details →
zenodo28/100

Data publication: Numerical simulations of pullout test of steel fiber embedded in high performance concrete (HPC)

<p>This data set contains all necessary inputs for the numerical simulations of pullout test of steel fiber embedded in high performance concrete, including discretization data, boundary conditions, material parameters and numerical results. The discretization is realized in terms of the finite element method.&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo28/100

Free surface evolution from numerical wave tank simulations

<p>An ensemble of two-dimensional numerical wave tank (NWT) simulations of breaking and non-breaking wave packets. The NWT uses the Gerris software package, a two-phase Navier-Stokes solver that utilises the volume-of-fluid method and explicitly models viscosity and surface tension effects. It is configured in non-dimensional coordinates scaled by the length and time characteristics of a deep-water wave with wavelength 1 m. A total of 6 experiments are included in the dataset, for which the wind speed, water depth, wave packet size and grid refinement level are varied. A full description of the NWT is provided in:</p> <p><a href="https://doi.org/10.1017/jfm.2023.134" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., &amp; Barthelemy, X. (2023). An energetic&nbsp;signature for breaking inception in surface gravity waves. Journal of Fluid Mechanics, 959, A33.</a></p> <p><a href="https://doi.org/10.1103/PhysRevFluids.9.054803" target="_blank" rel="noopener">Boettger, D. G., Keating, S. R., Banner, M. L., Morison, R. P., &amp; Barthelemy, X. (2024). Energetic&nbsp;inception of breaking in surface gravity waves under wind forcing. Physical Review Fluids, 9 (5),&nbsp;054803.</a></p>

opencc-by-nc-nd-4.0Aug 2024View details →
zenodo28/100

Studying solar storm impact on global neutral wind pattern using WACCM-X numerical simulations and Meteor radar observations

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opencc-by-4.0Sep 2024View details →
zenodo28/100

Emulator of PR-DNS: Part II, dataset for training the emulator of thermodynamics and cloud droplet fields in Particle-Resolved Direct Numerical Simulation

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opencc-by-4.0Oct 2024View details →
zenodo28/100

Data for "Improving Four-electrode Impedance Measurements by Numerical Simulations"

<p>Replication data for "Improving Four-electrode Impedance Measurements by Numerical Simulations"</p>

opencc-by-4.0Oct 2024View details →
zenodo28/100

Numerical Simulation of Snow Cornice Formation

<p>The data is for the paper "Numerical Simulation of Snow Cornice Formation".&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo28/100

Numerical simulation results for paper: Numerical Analysis of the Effect of Heterogeneity on CO2 Dissolution Enhanced by Gravity Driven Convection

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Simulation Circuits for A Time-Domain Approach to Electrical Impedance Tomography using Numerical Analysis of the Step Response

<p>SImulation circuits for the paper of the same name presented in the conference.</p>

opencc-by-4.0Jun 2021View details →
dryad28/100

Data from: Numerical simulations of targeted delivery of magnetic drug aerosols in the human upper and central respiratory system: a validation study

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publicNov 2017View details →
dryad28/100

Data from: Numerical simulation of induced cutting in deep coal

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publicAug 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record