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1,028 results for “simulation model”
Pretrained models and simulated data for MICCAI paper Unsupervised Domain Transfer with Conditional Invertible Neural Networks
<p>Simulated data and the pretrained models used for the publication "Unsupervised Domain Transfer with Conditional Invertible Neural Networks", see https://link.springer.com/chapter/10.1007/978-3-031-43907-0_73 published at MICCAI 2023.</p>
Simulations for SA and SC of SWAT+ model
<p>This repository contains the simulations run with SWATPlusR to perform the Sensitivity analysis and the Soft calibration for a SWAT+ model constructed for the Upper Tagus River basin.</p> <p> </p> <p>In this repository you will find:</p> <p>The raw simulations for the Sensitivity analysis --> SA_runs.rar</p> <p>The files created when extracting the data from the simulations for the Sensitivity analysis --> var_extract.zip</p> <p> </p> <p>The raw simulations for the Soft calibration:</p> <p>For each iteration, the file that contains the entire output from the 1000 simulations is the ronda_X_lsu.rds</p> <p>The file channels_ordered_all.rds contains the streamflow simulated for the evaluated subbasins for the three soft calibration iterations.</p> <p> </p> <p>More info and the code used to analyse this data can be found in the GitHub repository (https://github.com/alejandrosgz/https://github.com/alejandrosgz/HSJ_SA_SC_SWATPlus)</p> <p> </p>
Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia: companion dataset
<p>This folder includes the intermediate data for the following manuscript:</p><p>Ding et al., Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia</p><p>The simulations were done using ICON-NWP (ICON Numerical Weather Prediction) model, version 2.6.1, over Asian monsoon region (62E–150E, 5.5N–54.5N) for 2020 summer. At the moment, we upload the intermediate data for MCS tracking. For more data, please contact the authors.</p>
Predicting the distribution of serotonergic axons: A supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model
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Supplementary material for: PhyloCoalSimulations: A simulator for network multispecies coalescent models, including a new extension for the inheritance of gene flow
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Core individual-based model simulation script and landscape data
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Whole-body physiology model to simulate respiratory depression of fentanyl and associated naloxone reversal
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The western United States large forest-fire stochastic simulator (WULFFSS) 1.0: A monthly gridded forest-fire model using interpretable statistics
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Simulations modelling the effect of budding speciation on phylogenies
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Community Land Model synthetic meteorology simulation model output
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Code and initial metapopulation data for model construction and simulation analyses for: Genetic rescue from protected areas is modulated by migration, hunting rate and timing of harvest
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Data and simulation model files for: Variable-stiffness morphing wheel inspired by the surface tension of a liquid drop
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Online appendix and simulated data sets for assesment of Birth-Death Exposed-Infectious (BDEI) phylodynamic model estimators
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Data from: Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change
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Statistical analysis code for output from a model used to simulate foot-and-mouth disease dynamics in the United Kingdom
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Data for: Water system simulation modeling with hydropower optimization and environmental flows: An example with Pywr
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Chronogram or phylogram for ancestral state estimation? Model-fit statistics indicate the branch lengths underlying a binary character’s evolution: R scripts and simulated trees
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Model data created by MANDIFORE using ED2 simulating structure and biomass under harvest legacies and climate change as the Morton Arboretum, IL, USA, 2007-2099"
The data in this archive was used to investigate the long-term impacts of harvest-based management strategies on structure and resistance to climate-induced biomass loss using a process-based ecosystem model and an ensemble of climate change drivers in a midwestern USA hardwood forest. The model used was a modified version of the Ecosystem Demography model version 2.1 (ED2) where trees could be grouped based on plant functional type and size allowing for different management regimes to be simulated. The simulation site was an actively managed mid-continental North American temperate deciduous forest at The Morton Arboretum (TMA) near Chicago, USA. The initial conditions (composition and structure) of the forest simulated were initialized using field survey data from 487, 8.92-m radius plots collected in 2018. Different levels of tree removal based on traditional forestry management techniques for temperate deciduous forests were simulated and evaluated for their effects on forest structure and resistance to drought induced mortality for the period of 2006 to 2100. Model initialization and spin up occurred from 2006-2020 at which point management was simulated for the period of 2020-2024 before running without management for 2024 to 2100. Fourteen CMIP5 GCMs were used for meteorological drivers for 2006 to 2100 for both RCP4.5 and RCP 8.5 warming scenarios. CO2 concentration was held constant at 380 ppm over the simulation period. Four management regimes were simulated for each of these GCM-RCP pairings leading to a total of 112 distinct model runs. The four management regimes were group selection, shelterwood, understory thinning and an additional no management scenario served as a control. Data in this archived is separated into the 112 distinct model runs.
Community Land Model version 4.5 (CLM4.5) simulations of water, energy, and carbon fluxes for Saddle vegetation communities, 2008 - 2013
Single point simulations of CLM4.5 that include (1) forcing data that were input to the model and subsequent (2) model output for simulations that approximate conditions in fellfield, dry meadow, moist meadow, wet meadow, and snowbed vegetation communities. Forcing data were generated with observed atmospheric conditions from Tvan, Saddle precipitation, and incoming shortwave radiation measured from the AmeriFlux tower site (US-NR1) from 2008-2013. Wintertime precipitation inputs were modified to approximate average snow depth for each vegetation community observed across the Saddle grid. Land models, like CLM, provide a cohesive framework to investigate biogeophysical and biogeochemical effects of environmental change on ecosystem processes. We used CLM4.5 to investigate if a global-scale model can represent local-scale patterns of water, energy, and carbon fluxes in a heterogeneous mountain environment. Specifically, we were interested in generating testable projections of potential ecosystem responses to climate change. Model output includes half-hourly data on fluxes of energy, water, and carbon, as well as vegetation carbon stocks and edaphic conditions. We also conducted sensitivity analyses to look at ecosystem responses to modifications intended to extend growing season length by decreasing snow albedo and warming air temperatures (black sand and M-A warm, respectively). Information on the variables, units, and data are included as attributed in the network Common Data Form (NetCDF) files for this dataset. For users unfamiliar with using NetCDF files, we have included R scripts that write (forcing data) and read (model output) .nc files include in this data archive. More information about NetCDF files is available at http://www.unidata.ucar.edu/software/netcdf/docs/index.html.
Simulation data of barrier-shrub interactions from the Barrier3D model
Barrier3D (version 1.0) simulation results of shrub expansion and barrier migration behavior and morphology across a range of input conditions. Simulations vary by the presence or absence of shrubs, the characteristic dune growth rate (0.3-0.9 yr-1), relative sea-level rise rate (3-15 mm/yr), the maximum flow reduction coefficient (0.05-0.35), and the width of initial barrier morphology. Each row in the spreadsheet represents a unique model simulation, and each simulation belongs to one of two different experiments: 1) Barrier_evolution, which is designed to assess the ways in which shrubs alter barrier morphology and the rate and style of barrier retreat by running simulations with and without shrubs across broad ranges of relative sea-level rise rates and dune growth rates; and 2) Shrub_expansion, which explores the ways in which barrier morphologic evolution influences the rate and pattern of shrub expansion. To account for storm stochasticity in the model, each unique combination of parameter values was simulated 100 times. Simulations run for 1,000 model years for the Barrier_evolution experiment, and 150 years for the Shrub_expansion experiment, or until the barrier drowns. The location of the initial cluster of shrub establishment is randomly determined in the Barrier_evolution experiment, but is constrained to the first 100 m (2%) alongshore in the Shrub_expansion experiment. Results from the two experiments are contained in two different files: barrier_island_evolution.csv and shrub_expansion.csv. A table of parameter values, definitions, and sources for the shrub module used in the experiments is given in the file: parameter_values_sources.csv
ScienceDex guides
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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.