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1,028 results for “simulation model”
CMS: Simulated Physical-Biogeochemical Data, SABGOM Model, Gulf of Mexico, 2005-2010
This dataset contains monthly mean ocean surface physical and biogeochemical data for the Gulf of Mexico simulated by the South Atlantic Bight and Gulf of Mexico (SABGOM) model on a 5-km grid from 2005 to 2010. The simulated data include ocean surface salinity, temperature, dissolved inorganic nitrogen (DIN), dissolved inorganic carbon (DIC), partial pressure of CO2 (pCO2), air-sea CO2 flux, surface currents, and primary production. The SABGOM model is a coupled physical-biogeochemical model for studying circulation and biochemical cycling for the entire Gulf of Mexico to achieve an improved understanding of marine ecosystem variations and their relations with three-dimensional ocean circulation in a gulf-wide context.
Combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer with CancerInSilico
GEO Series GSE114375. Homo sapiens. 90 samples. Type: Expression profiling by array.
Pulsatile exposure to simulated reflux leads to stereotypical changes in gene expression in a 3D model of oesophageal mucosa
GEO Series GSE45380. Homo sapiens. 8 samples. Type: Expression profiling by array.
Transcriptomic Modifications in Developmental Cardiopulmonary Adaptations to Chronic Hypoxia Using a Murine Model of Simulated High Altitude Exposure
GEO Series GSE140146. Rattus norvegicus. 54 samples. Type: Expression profiling by high throughput sequencing.
Parameterization of grass grid pavers for urban microclimate modelling to simulate the heat mitigation potential of unsealing measures in cities
<p><strong>README: </strong></p> <p>The exact version (V 5.1.2 Compatibility Release) of the ENVI-met model used for this paper, the parameterizations and the input data to run the ENVI-met model and to reproduce the model outputs of all the performed scenario simulations shown in this paper, as well as all the scripts for post-processing of the model output data needed to derive the presented results of this manuscript are provided in this permanent archive. The supplementary material (data and code) includes the following files: </p> <p>Appendix_1: ENVI-met model code of the version used to reproduce the outputs of this paper (V 5.1.2 Compatibility Release): <br> Appendix_1.exe: ENVImet model Version 5.1.2 setup </p> <p>Appendix_2: Model input data: for GGP scenarios including the model database parameterizations: <br> Appendix_2.1.zip: Input data for extreme scenario <br> Appendix_2.2.zip: Input data for realistic scenario <br>Eeach zip file contains: model driver file for LBCs, project file, project database, model domain file, and simulation task file. </p> <p>Appendix_3: Python scripts for postprocessing and extraction of model output data: <br> Appendix_3.1.enpy: Python script for exporting surface data <br> Appendix_3.2.enpy: Python script for exporting atmosphere data and soil data</p> <p>Appendix_4: R script for data analyses of model results: <br> Appendix_4.rmd: R script for data analyses of extracted simulation results and plotting </p> <p> </p>
Water Management Policy Analysis under Uncertainty: A Coupled Simulation-Evaluation Model Based on Interval Positive Mathematical Programming
<p>Data for ICPMP model </p>
Extreme events changes over China under 1.5-4°C global warming targets: projected by an ensemble of regional climate model simulations
<p>This file is for the upload of data for 2019JD031057R.</p>
interactive and prescribed snow depth driven climate model simulations output
<p>compressed dataset of model simulation output for current and future climates</p>
Data for paper "Effects of Selective Simulated Seeding on the Lightning Potential Index in Northern Switzerland using the COSMO Model"
<p>This data is used in the paper "Effects of Selective Simulated Seeding on the Lightning Potential Index in Northern Switzerland using the COSMO Model". This data is supplemented by software, i.e. the code which was used to conduct the data analysis as well as plot the data, which is separately available on Zenodo. "LINET.nc" is the data for the observed lightning activity on 2019-07-06, provided by Nowcast GmbH. Additionally, there are 10 files "ens**_ctrl_lpi_fullcosmodomain.nc" which contain the simulated lightning activtiy corresponding to that date. These aforementioned files are used in the jupyter notebook "LINET_LPI_comparison.ipynb". The remaining 40 files "ens**_[ctrl or seedlow or seedmed or seedhigh].nc" are used in "data_analysis.ipynb".</p>
Future land use/cover change (LUCC) simulated by FLUS and SD model under four SSP-RCP scenarios
Open the record for dataset details and reuse information.
The Effect of the Modified Simulation Model on Self-Efficacy, Anxiety, and Academic Motivation in Episiotomy Training
ClinicalTrials.gov study NCT06415877. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Pharmacokinetic-pharmacodynamic Modeling and Simulation Study of Subcutaneous Infliximab in Patients With Inflammatory Bowel Disease
ClinicalTrials.gov study NCT07120152. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
A 3D Hydrogel Model to Assess Endothelial Cell-macrophage Interactions in Simulated Microgravity (OR-DRPD-SRI2019)
ClinicalTrials.gov study NCT04028752. IPD Sharing: NO. Countries: 0. Publications: 0.
High Mountain Asia COAWST Hourly 4km Regional Climate Model Simulations V001
This data product contains either hourly accumulated or hourly snapshots of modeled data in the High Mountain Asia region, generated by the Coupled-Ocean-Atmosphere-Waves-Sediment Transport (COAWST) modeling system (operated as a regional climate model). These modeled data span 15 years and have been used by the NASA High Mountain Asia Team (HiMAT) to research water resource use.
Software Infrastructure to Enable Modeling & Simulation as a Service (M&SaaS) Project
Software Infrastructure to Enable Modeling & Simulation as a Service (M&SaaS) Project
Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation
This paper describes how damage propagation can be modeled within the modules of aircraft gas turbine engines. To that end, response surfaces of all sensors are generated via a thermo-dynamical simulation model for the engine as a function of variations of flow and efficiency of the modules of interest. An exponential rate of change for flow and efficiency loss was imposed for each data set, starting at a randomly chosen initial deterioration set point. The rate of change of the flow and efficiency denotes an otherwise unspecified fault with increasingly worsening effect. The rates of change of the faults were constrained to an upper threshold but were otherwise chosen randomly. Damage propagation was allowed to continue until a failure criterion was reached. A health index was defined as the minimum of several superimposed operational margins at any given time instant and the failure criterion is reached when health index reaches zero. Output of the model was the time series (cycles) of sensed measurements typically available from aircraft gas turbine engines. The data generated were used as challenge data for the Prognostics and Health Management (PHM) data competition at PHM’08.
High Mountain Asia COAWST Daily 4km Regional Climate Model Simulations V001
This data product contains either daily averaged or daily accumulated modeled data in the High Mountain Asia region, generated by the Coupled-Ocean-Atmosphere-Waves-Sediment Transport (COAWST) modeling system (operated as a regional climate model). These modeled data span 15 years and have been used by the NASA High Mountain Asia Team (HiMAT) to research water resource use.
High Mountain Asia COAWST 6-Hourly 4km Regional Climate Model Simulations V001
This data product contains either 6-hourly accumulated or 6-hourly snapshots of modeled data in the High Mountain Asia region, generated by the Coupled-Ocean-Atmosphere-Waves-Sediment Transport (COAWST) modeling system (operated as a regional climate model). These modeled data span 15 years and have been used by the NASA High Mountain Asia Team (HiMAT) to research water resource use.
Spaceflight and simulated microgravity conditions increase virulence of Serratia marcescens in the Drosophila melanogaster infection model
While it has been shown that astronauts suffer immune disorders after spaceflight, the underlying causes are still poorly understood and there are many variables to consider when investigating the immune system in a complex environment. Additionally, there is growing evidence that suggests that not only is the immune system being altered, but the pathogens that infect the host are significantly influenced by spaceflight and ground-based spaceflight conditions. In this study, we demonstrate that Serratia marcescens (strain Db11) was significantly more lethal to Drosophila melanogaster after growth on the International Space Station than ground-based controls, but that the host immune system is not significantly altered amongst known immune genes. High-throughput sequencing of wild-type (w1118) adult hosts infected with either space or ground-reared S. marcescens revealed few changes in gene expression, with 11 genes significantly differentially expressed (q-values less than 0.05) and only one gene related to the immune system. This data supports the main findings of the paper, which state that both spaceflight and low-shear modeled microgravity conditions increase the virulence of this pathogen, independent of the host immune system. This data, which shows that there are no significant immune-related changes to the host when infected with space-grown sample compared to ground-grown sample, provides further evidence that there are likely phenotypic changes to the pathogen itself that is causing increased virulence in spaceflight and in low-shear modeled microgravity. RNA was extracted in triplicate from 2 pooled adult (2-3 day old female) Drosophila melanogaster (w1118) per treatment, with 4 total treatment groups (no injection control, sham injection with PBS, ground bacteria-injected, and space bacteria-injected) with poly(A)+ RNA libraries. Samples were multiplexed and sequenced 100bp paired-end ready were sequenced on one lane of the Illumina HiSeq-4000.
High Mountain Asia COAWST Monthly 4km Regional Climate Model Simulations V001
This data product contains either monthly averaged or monthly accumulated modeled data in the High Mountain Asia region, generated by the Coupled-Ocean-Atmosphere-Waves-Sediment Transport (COAWST) modeling system (operated as a regional climate model). These modeled data span 15 years and have been used by the NASA High Mountain Asia Team (HiMAT) to research water resource use.
ScienceDex guides
Understand access before you commit
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.