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328 results for “Simulation results”
GAIA simulation results for CO2 and geomagnetic activity
<p>Contains model simulation data for neutral temperature, neutral density, neutral wind, electron density, electron temperature, ion temperature, the maximum F2 region density (NmF2) and its height (hmF2)</p>
Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2
<p>This repository contains the experimental and simulation results of the article "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" by Carvalho, V., Rodrigues, N., Ribeiro, R., Costa, P., Lima, R., Teixeira, S., published in <em>Micromachines</em> <strong>11, 6</strong> (2020). https://doi.org/10.3390/mi11060549</p>
Datasets for reproduction of simulation study results presented in article "Network Aggregation to Enhance Results Derived from Multiple Analytics"
<p>The included datasets can be used to reproduce the simulation study results presented in the paper:<br> Duroux D., Climente-González H., Wienbrandt L., Van Steen K. (2020) Network Aggregation to Enhance Results Derived from Multiple Analytics. In: Maglogiannis I., Iliadis L., Pimenidis E. (eds) Artificial Intelligence Applications and Innovations. AIAI 2020. IFIP Advances in Information and Communication Technology, vol 583. Springer, Cham.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.</p>
SimRoot Simulation Results - Root Hairs and Nitrogen
<p><strong><em>SimRoot</em> modeling data</strong></p> <p>In order to investigate the relationships between changes in root hair phenotypes and N capture under different N and transpiration regimes, a maize root system with the primary root and lateral branches varying in root hair length and density were simulated in the functional-structural plant model <em>SimRoot</em>. <em>SimRoot</em> offers a realistic platform to simulate the effect of the whole root system and/or a specific root traits on plant growth and resource acquisition because it is equipped with both carbon and nutrient models (Lynch <em>et al.</em> 1997; Dathe <em>et al.</em> 2016). Root hair length was modified by varying root hair growth rate. We used a 1*1*1 mm cubic finite element grid for the simulations. Simulations were run for 15 days. Transpiration rate was modified to manipulate the mass flow component. Four levels of nitrate were used in the simulations corresponding to 20.8, 62.4, 104 and 145.6 kg ha<sup>-1</sup>. All root parameters except for the parameters of interest (root hair length, root hair density) were kept constant. </p> <p>This research was supported by grants from the Howard G. Buffett Foundation and the National Science Foundation-PGRP grant DBI 0820624 to JPL and Mahidol University to PS’s time for developing the manuscript. </p>
FESOM2. Results of one year simulations with pi mesh (default, not rotated).
<p>FESOM2. Results of one year simulations with pi mesh (default, not rotated).</p>
MOSTWAS models, TWAS summary statistics, and simulation results for Bhattacharya and Love, 2020
<p>MOSTWAS models, TWAS results, simulation results, and comparison to BGW-TWAS results</p>
Model Simulation Results
<p>Simulation results from the SWASH MODEX model, .mat files showing the extent of variables as they pass over the mound (spatially varying, temporally averaged)</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DLM simulation results
<p>This <strong>2DLM.zip</strong> file contains the results of in total 12 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>L</strong>andcover-type-determined <strong>M</strong>anning (<strong>2DLM</strong>) parameterization. The zip file has 3 folders and 4 files in each folder. Each file is named by a marsh type considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DFV simulation results
<p>This <strong>3DFV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>F</strong>lexible <strong>V</strong>egetation (<strong>3DFV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DSV simulation results
<p>This <strong>3DSV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>S</strong>tiff<strong> V</strong>egetation (<strong>3DSV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DVM simulation results
<p>This <strong>2DVM.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>V</strong>egetation-determined <strong>M</strong>anning (<strong>2DVM</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Simulation results and lambda value data for structural connectome based simulations of temporal lobe epilepsy surgery.
<p>This data file contains a number of matlab matrices holding the results of simulations carried out using structural connectome data from healthy individuals and individuals with a diagnosis of temporal lobe epilepsy (TLE). The results are in the form of either time values, representing the time at which brain regions in the simulations 'escaped' into a seizure state, or corresponding node labels which represent the region that escaped at that time. Simulations were stopped after the first three nodes escaped, and then repeated over 100 iterations. There were 39 controls and 22 left TLE patients. Simulations were also carried out for altered structural connectomes simulating surgery influence on the time taken for nodes to escape. Clinical resection (clinres), subject-specific resections (subspecres) or random resections (ranres). 'Lmdas' shows the deviation from the control average of surface areas for each region in each subject, normalised to lie between 0 and 1. 'Names' is a cell array containing the node labels for the 82 regions.</p>
About prediction of vehicle energy consumption for eco-routing: simulation results
<p>Supplementary materials, experiment results, processing scripts</p>
Post-layout simulation results of a 0.13 µm SiGe Limiting Amplifier with 14.6 THz Gain-Bandwidth-Product
<p>This data set contains post-layout simulation results of a SiGe limiting amplifier. The circuit is presented in the paper "Design of a 0.13 µm SiGe Limiting Amplifier with 14.6 THz Gain-Bandwidth-Product" in the open-access journal "Advances in Radio Science" .</p>
Simulation results for "Deciphering clues regarding magma composition encoded in quartz-hosted embayments and melt inclusions through direct numerical simulations"
Open the record for dataset details and reuse information.
Required data to regenerate simulated metagenomes and reproduce KO-identification results in these simulated metagenomes
Open the record for dataset details and reuse information.
ANCHOR DA results for 20200401 with simulated data
<p>ANCHOR data assimilation results with simulated RO and simulated ionosonde data for 20200401 based on SAMI3 model, with PyIRI background. </p>
Simulation results: effects of Chiari type 1 malformation on cerebrospinal fluid dynamics during arterial pulsations and coughing
<p>The folder contains the simulation results corresponding to the computational fluid dynamics study: Effects of Chiari type 1 malformation on cerebrospinal fluid dynamics during arterial pulsations and coughing</p> <p>Data is organized in the following way with files in .csv and .xlsx format</p> <ul> <li>Cropped model: <ul> <li>output_*: flow time in seconds, pressure in the fourth ventricle (Pv), outflow in m³/s or kg/s, and pressure at plane in spinal SAS (Psas) for physical herniations and herniations created by porous zones</li> </ul> </li> <li>Full model <ul> <li>arterial_pulsations: data with all boundary conditions (arterial) except from cough</li> <li>arterial_pulsations_and_cough: data with all boundary conditions (arterial) including cough</li> <li>file content: <ul> <li>*_boundary_data: time step number, number of coupling iterations necessary per time step, flow time (s), pressure (P) and flow (Q) at outlets with interstitium (1), spinal (2), lymphatic (3) and arachnoid villi (4), first element of Jacobian (J11), flow residual, value of perturbation (dP) in Pa, converged?: 1 when converged, 0 when not, perturbation parameter, number of times the perturbation value needed to be reduced.</li> <li>*_flow: flow time in seconds, volumetric flow through aqueduct, and spinal SAS</li> <li>*_pressure_data: flow time in seconds, relative pressure compared to interstitium outlet at the fourth ventricle (v4), the spinal SAS (sas) and the lateral ventricle (lv)</li> </ul> </li> </ul> </li> </ul>
CESM Short lived Halogen simulation results for Roozitalab et al. (2023) in JGR-Atmospheres
<p>This dataset includes the data used for Roozitalab et al. (2023): "Measurements and modeling of the interhemispheric differences of atmospheric chlorinated very short-lived substances" in Journal of Geophysical Research - Atmospheres.</p>
The MD simulation results for the paper "Multifaceted regulation of siderophore synthesis by multiple regulatory systems"
<p>"MD results.zip" contains the initial structures and trajectories, while the other file comprises the input files generated by CHARMM-GUI.”</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.