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1,028 results for “simulation model”
Data for: A catalytic model for SARS-CoV-2 reinfections: Performing simulation-based validation and extending the model to include nth infections
<p>For code and more details see: </p> <ul> <li><code>inf_for_sbv.RDS</code> - simluated timeseries of primary infections used in the simulation-based validation of reinfections. </li> <li><code>inf_for_sbv_third.RDS</code> - simluated timeseries of primary infections used in the simulation-based validation of third infections. </li> <li><code>3_posterior_90_null_correctdata.RData</code> - posterior samples from the MCMC fitting procedure (as used in the manuscript) when not considering a second lambda parameter (to third infections)</li> <li><code>3_posterior_90_null_l2_correctdata.RData</code> - posterior samples from the MCMC fitting procedure (as used in the manuscript) when considering a second lambda parameter (to third infections)</li> <li><code>3_sim_90_null_correctdata.RDS</code> - simulation results when not considering a second lambda parameter for third infections (as used in the manuscript)</li> <li><code>3_sim_90_null_l2_correctdata.RDS</code> - simulation results when considering a second lambda parameter for third infections (as used in the manuscript)</li> </ul> <p> </p>
Model simulation data used in "A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with EMAC-MADE3" (Beer et al., Atmos. Chem. Phys., 2022)
<p>This dataset contains the output and the namelist setup of the EMAC-MADE3 global model simulations analysed and discussed in Beer et al. ("A global climatology of ice nucleating particles at cirrus conditions derived from model simulations with EMAC-MADE3", <em>Atmos. Chem. Phys.</em>, 2022).</p>
Simulation outputs of DynSoM model and instrumental data for Samoylov Island's polygonal tundra
<p>These datasets include the observational data, the input parameters, and the Dynamic Soil Model (DynSoM) outputs of a polygonal tundra arctic environment located in the quaternary sediments of Samoylov island, with and without considering heave due the segregation of ice. The data is gathered (SamValidation.mat) and simulated at the centre and rim of one of the polygons, which correspond to wet and dry tundra conditions respectively. This dataset Is used as a primary data input for the simulation and output for the figures of the article "Mechanistic Modelling of Segregated Ice and Soil Heave Dynamics in Artic Soils" by Xavier Rodriguez-Lloveras, Melanie A. Thurner Philipp Porada & Christian Beer, Universität Hamburg. Submitted to "The Journal of Advances in Modeling Earth Systems (JAMES)" on February 2023.</p> <p>The datasets are published as MATLAB matrix format and require adequate MATLAB (or equivalent) software for visualization.</p> <p>The validation data (SamValidation.mat) is a subset of the data published by Boike et al. (2019, doi:10.1594/PANGAEA.905236) adapted to the DynSoM model requirements.</p>
Simulated cycling data set and musculoskeletal models
<p><span>This study used musculoskeletal modelling to explore the relationship between cycling conditions (power output and cadence) and muscle activation and metabolic power. We hypothesized that the cadence that minimized the simulated average active muscle volume would be higher than that which minimized the simulated metabolic power. We validated the simulation by comparing predicted muscle activation and fascicle velocities with experimental electromyography and ultrasound images. We found strong correlations for averaged muscle activations and moderate to good correlations for fascicle dynamics. These correlations tended to weaken when analyzed at the individual participant level. Our study revealed a curvilinear relationship between average active muscle volume and cadence, with the minimum active volume being aligned to the self-selected cadence. The simulated metabolic power was consistent with previous results and was minimized at lower cadences than that which minimized active muscle volume across power outputs. Whilst there are some limitations to the musculoskeletal modelling approach, the findings suggest that minimizing active muscle volume may be a more important factor than minimizing metabolic power for self-selected cycling cadence preferences. Further research is warranted to explore the potential of an active muscle volume-based objective function for control schemes across a wider range of cycling conditions.</span></p>
Data set for model validation in "Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model"
<p>This upload contains the data set for model validation in the manuscript "Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model".</p>
Model results for Statistical bias correction for CESM-simulated PM2.5
<p>This NC file includes CESM-simulated annual mean aerosol concentrations for 100 years. And the model results are used in paper Statistical bias correction for CESM-simulated PM2.5 (doi: 10.1088/2515-7620/acf917)</p>
MD simulation of a model Gram-positive bilayer membrane (60% PG, 35% lysyl-PG, 5% CL)
<p><strong>Composition</strong>:</p> <p>Model bilayer composition aimed at replicating the behavior of the Staphylococcus aureus membrane (See also Mohanan et al. Chem Sci 2020, 11, 4669: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159255/"><strong>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159255/</strong></a>)</p> <p>Per leaflet we have 48 POPG (16:0 / 18:1; -1 net charge), 28 DPPGK (16:0 / 16:0; +1 net charge), 4 TOCL1 (18:1,18:1 / 18:1,18:1; -1 net charge), giving 60% PG, 35% lysyl-PG, 5% CL. Bilayer is symmetric. </p> <p><strong>Technical details</strong>:</p> <p>OpenMM 7.5.1</p> <p>CHARMM36m force field</p> <p>6,712 TIP3P waters</p> <p>150 mM KCl (64 K+, 16 Cl-)</p> <p>Temperature = 303.15 K</p> <p>Trajectory output every 100 ps</p> <p>Trajectory length = 500 ns ( = 5,000 frames)</p> <p>(Standard CHARMM-GUI relaxation protocol)</p>
Simulated UV Data Models
<p>This archive contains the simulated UV data files described in our paper "Residual Entropy as a Diagnostic and Stopping Metric for CLEAN" by Homan, Roth, and Pushkarev</p>
Empirical data and model simulations of the effect of repeated hurricanes on soil carbon dynamics in a humid tropical forest
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Source code for dynamic models and simulations of mate sampling behavior
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Data from: Agent-based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data
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A modeling framework for quantifying spatial recruitment dynamics using abundance estimation and sibship analysis: code and simulation study output
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Predicting the impact of patient and private provider behaviour on diagnostic delay for pulmonary tuberculosis patients in India: A simulation modelling approach
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Three dimensional localization refinement and motion model parameter estimation for confined single particle tracking under low-light conditions: Simulation datasets
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Data from: Modelling and simulation of a thermally induced optical transparency in a dual micro-ring resonator
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Data from: Dynamics of insects and their facultative defensive endosymbiotic bacteria: A simulation model
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Assessing the adequacy of morphological models using Posterior Predictive Simulations
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Grad-Shafranov equation: MHD simulation of the new solution obtained from the Fadeev and Naval models
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ACCESS model outputs for FW simulations under PI and LIG boundary conditions
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Data from: Climate-mediated hybrid zone movement revealed with genomics, museum collection and simulation modeling
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.