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855 results for “model system”
Data for 'SPH modelling of wind-companion interactions in eccentric AGB binary systems'
<p>Additional material to "Malfait et al. 2021, SPH modelling of wind-companion interactions in eccentric AGB binary systems": <a href="https://ui.adsabs.harvard.edu/link_gateway/2021A&A...652A..51M/arxiv:2107.01074" target="_blank" rel="noreferrer noopener">arXiv:2107.01074</a></p> <p>This contains input files and final output dumps of the Phantom simulations of this paper, and additional movies of 4 of the simulations.</p> <p>The code used to perform the simulations is available at: <a href="https://github.com/danieljprice/phantom">https://github.com/danieljprice/phantom.</a></p> <p>Splash (<a href="https://github.com/danieljprice/splash">https://github.com/danieljprice/splash</a> ) and Plons (<a href="https://github.com/Ensor-code/plons">https://github.com/Ensor-code/plons</a> ) were used to create figures and plots from this data.</p>
Ocean Dynamics in the DOE Energy, Exascale, Earth System Model (E3SM)
<p>Climate research at the U.S. Department of Energy (DOE) includes the development of ocean, sea-ice, atmosphere, land-vegetation and land-ice models. The ability to run high-resolution global simulations efficiently on the world’s largest computers is a priority for the DOE. This movie shows simulations from the variable-resolution ocean model, the Model for Prediction Across Scales (MPAS-Ocean), which is developed at Los Alamos National Laboratory. MPAS-Ocean is a component of the DOE’s newly released Energy, Exascale, Earth System Model (E3SM). Applications of E3SM include the simulation of 20th-century and future climate scenarios, as well as special configurations where model resolution is enhanced in regions of particular interest, like coastal areas, the Arctic, or below Antarctic ice shelves.</p> <p>Website: <a href="https://e3sm.org">https://e3sm.org</a>. </p>
Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"
<p>Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"</p>
Simulations of Typhoon In-Fa (2106) and air-sea interactions using a coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system
<p>The Observation data supporting the result of our manucript submitted to JGR-Ocean.</p> <p> </p>
Assessing acetone for the GISS ModelE2.1 Earth system model
<p>The simulated three-dimensional distributions of acetone from each simulation described in the paper (Baseline, sensitivity simulations in Table 1, and Nudged_ATom) are available in the zip files below, grouped by simulation:</p> <p>Each zip file contains a series of netCDF format files with filenames: {month}_5yrAvg_Acetone_{simulation}.nc, for example, <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__JUN-5F5yrAvg-5FAcetone-5FChem-5FPar2.0.nc&d=DwMFaQ&c=009klHSCxuh5AI1vNQzSO0KGjl4nbi2Q0M1QLJX9BeE&r=AW5CBwXzwRZfFpcXrchhGJYviihO8BJyAZekNlH15N4&m=tMBMWYi2ngTehrdwTk8qd9ZLcw3W5QqDEOLFI-OsoUHkrSSiiBk6fUbSw2OBQdRa&s=Yeqlp_vtfNOpWQcBGoIeiEDlbA_pc1JwfYT8ghUFVgA&e=">JUN_5yrAvg_Acetone_Chem_Par2.0.nc</a>, where each file is a climatological average over 5 years of repeated forcing conditions.</p> <p>The exception is the transient-forcing simulation "Nudged_ATom", which contains single-month averages of acetone from JUL 2016 through MAY 2018, to cover the ATom observational period. The file names for that simulation are of the form: {month}_{year}_Acetone_Nudged_ATom.nc. Acetone is in ppbv units and given on the model's native grid and vertical levels. These are hybrid sigma levels, but nominal pressure middles and edges are given in the plm and ple variables, respectively, and the grid box surface areas are also provided.</p> <p> </p> <p>GISS_MODELE_Acetone_Work.tar.gz contains:</p> <p>GISS_MODELE_Acetone_Work/ = the GISS ModelE directory used to perform simulations. With model codes in model/ and run instructions (called “rundecks”) in decks/. That decks directory also contains each simulation’s pre-compiled executable.</p> <p>The mapping of paper simulation name to the rundeck is as follows:</p> <table> <tbody> <tr> <td> <p>Paper Simulation Name</p> </td> <td> <p>ModelE “rundeck”</p> </td> </tr> <tr> <td> <p>Baseline</p> </td> <td> <p>E3acetOn3g.R</p> </td> </tr> <tr> <td> <p>Nudged_ATom</p> </td> <td> <p>E3acetOn3g_tranAtom.R</p> </td> </tr> <tr> <td> <p>Chem_Par2.0</p> </td> <td> <p>E3acetOn3g_ParDbl.R</p> </td> </tr> <tr> <td> <p>Chem_Terp0</p> </td> <td> <p>E3acetOn3g_Terp0.R</p> </td> </tr> <tr> <td> <p>Chem_Par0.5</p> </td> <td> <p>E3acetOn3g_ParHalf.R</p> </td> </tr> <tr> <td> <p>Dep_f<sub>0</sub>0</p> </td> <td> <p>E3acetOn3g_f00.R</p> </td> </tr> <tr> <td> <p>Ocn_2.0</p> </td> <td> <p>E3acetOn3g_Ocn30.R</p> </td> </tr> <tr> <td> <p>Veg_0.7</p> </td> <td> <p>E3acetOn3g_Meg07.R</p> </td> </tr> <tr> <td> <p>Chem_Cl0</p> </td> <td> <p>E3acetOn3i.R</p> </td> </tr> <tr> <td> <p>BB_2.0</p> </td> <td> <p>E3acetOn3g_bbDbl.R</p> </td> </tr> </tbody> </table> <p> </p> <p>INPUT_FILES.tar.gz contains: the modelE chemistry input instruction tables referenced in the (*.R) rundecks. </p> <p> </p> <p>SCRIPTS.tar.gz contains:</p> <p>SCRIPTS/extract_and_convert.ksh = used to extract model output to provide in the zip files in this archive.</p> <p>SCRIPTS/PLOTTING/ = python programs used to make the paper figures</p> <p> </p> <p>MODELE_RAW_OUTPUT_VARIABLES.tar.gz contains: the modelE output files used as input to the plotting/analysis programs.</p>
Highlighting the potential of multilevel statistical models for analysis of individual agroforestry systems (companion working R code)
<p>A companion working R code and crop yield dataset that illustrate key concepts presented in a scientific publication titled 'Highlighting the potential of multilevel statistical models for analysis of individual agroforestry systems' published in Agroforestry Systems (July 2023). For the shape file of tree strips, please refer to the publication's supplementary material (adjust the name accordingly). </p>
High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 6
<p>Future projections of precipitation by the BMlinear model forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".</p>
High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 10
<p>Extra data of the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia" that did not fit in their respective deposits:</p> <p>Future projections of:</p> <p>Precipitation by all CNN models (BMlinear, BM1, BM10, BMdense) forced by the UKESM1-0-LL GCM.</p> <p>2-meter maximum and minimum temperatures by the BM1 model forced by the NorESM2-MM and UKESM1-0-LL GCMs.</p> <p>2-meter mean temperature by the BMlinear and BM1 models forced by the NorESM2-MM and UKESM1-0-LL GCMs.</p>
High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 4
<p>Future projections of 2-meter mean temperature by the CNN models (BM1, BM10 and BMdense) forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".</p>
MODELING OF TRANSPORT SYSTEMS. STREAMS IN AD NETWORKS
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Central Nervous System Effects Following Infusion of Diphenhydramine Using Pharmacokinetic and Pharmacodynamic Modeling
ClinicalTrials.gov study NCT05219604. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Utilizing Qualitative and Quantitative Methods to Understand a New Model of Type 1 and 2 Systemic Lupus Erythematosus (SLE)
ClinicalTrials.gov study NCT05426902. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Study of Glaukos® Trabecular Micro-Bypass System Model iS3 Infinite Vs. Competitor
ClinicalTrials.gov study NCT05127551. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of the Treatment of Adipose Tissue With Liposonix System (Model 2) Using a New Treatment Method
ClinicalTrials.gov study NCT01853397. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Models of Disordered Knowledge and Memory Systems in Dementia and Related Disorders
ClinicalTrials.gov study NCT00004557. IPD Sharing: Not stated. Countries: 1. Publications: 3.
A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery
ClinicalTrials.gov study NCT07378683. IPD Sharing: YES. Countries: 1. Publications: 0.
Clinical Evaluation of the Zynex Monitoring System, Model CM-1600
ClinicalTrials.gov study NCT05740644. IPD Sharing: NO. Countries: 1. Publications: 0.
Vascular Positioning System G4 Algorithm ECG Data Collection for Model Training Study
ClinicalTrials.gov study NCT05702515. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Physiological Variables and Detection of Blood Loss Using the Zynex Fluid Monitoring System, Model CM-1600
ClinicalTrials.gov study NCT05463198. IPD Sharing: NO. Countries: 1. Publications: 0.
Molecular dynamics simulation primer for: Introduction to atomistic modeling and simulation of biomolecular systems
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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.