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36 results for “Software Simulation”
Data files and electromagnetic simulation software used in the paper "Radar evidence of subglacial liquid water on Mars" By Orosei et al. (2018)
<p>This archive contains radargrams, geometric information and visualizations of MARSIS radar observations over the area centered at 193°E, 81°S within Planum Australe, Mars, together with scripts and results of electromagnetic propagation simulations used to interpret the data. This archive contains everything needed to reproduce the results presented in the paper "Radar evidence of subglacial liquid water on Mars" by Orosei et al. (2018). The software made available in this archive consists of scripts written in the Matlab© computing language, and is provided "as is" without warranty of any kind, either express or implied. Queries on the content of the archive can be sent to Roberto Orosei (roberto.orosei@inaf.it).</p> <p>Three types of MARSIS data files are contained in this archive:</p> <p>* orbit_XXXXX_frequency_Y_MHz_radargram.csv, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file contains an ASCII table of real numbers separated by commas. The table has as many columns as the number of radar echoes acquired during the orbit (usually 3200), and 980 lines, one for each echo sample. Values are samples of the uncalibrated echo voltage, without phase information (i.e. positive real numbers instead of complex echo samples). Echo samples are acquired every 0.3571 microseconds (2.8 MHz sampling rate). The first sample of an echo is located at a round-trip time corresponding to an altitude of 25 km above the Martian IAU ellipsoid.</p> <p>* orbit_XXXXX_frequency_Y_MHz_geometry.csv, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file contains an ASCII table of real numbers separated by commas. The table has as many rows as the number of radar echoes acquired during the orbit (usually 3200), and contains the following auxiliary parameters:</p> <p> - EPHEMERIS TIME - Number of seconds elapsed since Jan 1, 2000, 12:00 UTC corresponding to the time at which data collection for the current echo started.</p> <p> - MARS SOLAR LONGITUDE - Angle between the Mars-Sun line at the time corresponding to EPHEMERIS TIME and the Mars-Sun line at the vernal equinox, in degrees.</p> <p> - MARS SUN DISTANCE - Distance from the centre of Mars to centre of the Sun at the time corresponding to EPHEMERIS TIME, in Km.</p> <p> - SPACECRAFT ALTITUDE - Distance from the Mars Express spacecraft to the reference surface of the target body measured normal to the surface at the time corresponding to EPHEMERIS TIME, expressed in Km.</p> <p> - SUB-SPACECRAFT LONGITUDE - East longitude of the point on the target body that lies closest to the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed in degrees and in the [ 0 -360 ] range.</p> <p> - SUB-SPACECRAFT LATITUDE - Planetocentric latitude of the point on the target body that lies directly beneath the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed in degrees.</p> <p> - RADIAL VELOCITY - Radial component of the Mars Express spacecraft velocity vector in the reference frame of the target body at the time corresponding to EPHEMERIS TIME, expressed in Km/s.</p> <p> - TANGENTIAL VELOCITY - Tangential component of the Mars Express spacecraft velocity vector in the reference frame of the target body at the time corresponding to EPHEMERIS TIME, expressed in Km/s.</p> <p> - LOCAL TRUE SOLAR TIME - Angle between the extension of the vector from the Sun to Mars and the projection on Mars' ecliptic plane of a vector from the center of the target body and the point on the target body surface that lies directly beneath the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed on a 24-hour clock with decimal fractions of the hour.</p> <p>* orbit_XXXXX_frequency_Y_MHz.png, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file is a visualization of the corresponding radargram, of the spacecraft ground track during the observation, and of surface and subsurface echo power.</p> <p>Electromagnetic propagation model and results consist of several files:</p> <p>* model_Pss_over_Ps_ratio.m is a script written in the Matlab© computing language. It simulates the propagation of a MARSIS radar pulse through a model stratigraphy representing the Martian South Polar Layered Deposits (SPLD). The simulation is based on the solution of Maxwell's equations for a plane parallel stratigraphy, and it is thus one-dimensional. The SPLD are represented as an uniform layer of ice mixed with dust.</p> <p>* figure_S5.m is a script written in the Matlab© computing language. It simulates the propagation of a MARSIS radar pulse through a model stratigraphy representing the Martian South Polar Layered Deposits (SPLD). The simulation is based on the solution of Maxwell's equations for a plane parallel stratigraphy, and it is thus one-dimensional. The SPLD are represented as an uniform layer of ice mixed with dust, either overlaid by or overlaying a layer of pure CO2 ice of variable thickness.</p> <p>* fftvars.m is a function written in the Matlab© computing language and used by both "model_Pss_over_Ps_ratio.m" and "figure_S5.m". It computes vectors containing the correct time and frequency values for FFT computations.</p> <p>* genrefl.m is a function written in the Matlab© computing language and used by both "model_Pss_over_Ps_ratio.m" and "figure_S5.m". It computes the frequency-dependent complex electromagnetic reflectivity of a plane parallel stratigraphy at normal incidence.</p> <p>* GPR_1D_simulation.m is a function written in the Matlab© computing language and used by both "model_Pss_over_Ps_ratio.m" and "figure_S5.m". It simulates the radar echo produced by the propagation of a broadband signal in a plane parallel stratigraphy.</p> <p>* matzler.m is a function written in the Matlab© computing language and used by both "model_Pss_over_Ps_ratio.m" and "figure_S5.m". It computes the relative dielectric permittivity of pure water ice (ice Ih) for any temperature and frequency according to formulas provided in Matzler (1998).</p> <p>* maxgarmix.m is a function written in the Matlab© computing language and used by both "model_Pss_over_Ps_ratio.m" and "figure_S5.m". It computes the effective dielectric constant of a medium containing intrusions of different dielectric properties according to the Maxwell-Garnett dielectring mixing model.</p> <p>* Pss_over_Ps_ratio_at_X_MHz_and_Y.YY_dust_fraction.csv is a comma-separated value file containing model results for subsurface to surface echo power ratio as a function of central frequency, basal temperature, dust content and basal permittivity. One file is produced for every value of the central frequency and of the dust fraction. The value of these two parameters for a given files are reported in the file name, where X is the frequency in MHz, and Y.YY is the dust fraction. Each file contains a matrix in which there is a row for every value of basal temperature from 170 K to 270 K, and a column for every value of basal permittivity from 4 to 100 with logarithmic spacing. Basal temperature and permittivity values are reported in different comma-separated value files called "basal_temperatures.csv" and "basal_permittivities.csv".</p> <p>* basal_permittivities.csv is a comma-separated value file containing the values of basal permittivity corresponding to the columns of the model result matrixes contained in the files "Pss_over_Ps_ratio_at_X_MHz_and_Y.YY_dust_fraction.csv".</p> <p>* basal_temperatures.csv is a comma-separated value file containing the values of basal temperature corresponding to the rowso of the model result matrixes contained in the files "Pss_over_Ps_ratio_at_X_MHz_and_Y.YY_dust_fraction.csv".</p>
Productivity simulation framework in software engineering - Bibliometric data
<p>Bibliographic data from the Web of Science and SCOPUS relate to this search string: <em>framework AND simulation AND productivity AND (software development OR software engineering)</em>. The authors also include the Bibliometrix application report.</p>
Dataset and Software: Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations
<p>This repository contains experiment data and executable MATLAB codes for the research article 'Heat Transfer in Pyroclastic Density Current - Ice Interactions: Insights from Experimental and Numerical Simulations'.</p> <p>Contained within the experiment data file Valeetal_Data.Zip are:</p> <ul> <li>Temperature, melt and steam data separated by particle type. See files: <ul> <li>Ballotini_Data_Valeetal</li> <li>Pumice_Data_Valeetal</li> <li>Ruapehu_Data_Valeetal</li> </ul> </li> <li>Melt and steam summary data plots. See file: <ul> <li>Data_Plots_Valeetal</li> </ul> </li> <li>Document with figures to demonstrate system behaviours. See file: <ul> <li>Valeetal_SI01_JGR</li> </ul> </li> </ul> <p>Contained within the model data file Model_Repository.zip are simulation data and codes that implement, process, and plot numerical solutions to the mathematical model. See README.txt for a brief description of each file.</p> <p> </p>
Simulation data for "Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing"
<p>Simulation data used in analysis of single cell variant calling softwares in manuscript "Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing"</p> <p>Two sets of simulation experiments were performed, one with varying sequencing depth (simulation.tar.gz) and one with a fixed depth at 30 (simulation_fixedDP.tar.gz).</p> <p> </p>
Simulation of collaboration networks in software development
<p>Dataset resultant from Master Thesis 'Simulation of collaboration networks in software development' authored by José Miguel Gomes.</p>
Simulated datasets used for assessing the performance of StrainIQ software
<p>StrainIQ (Strain Identification and Quantification) is a novel tool that implements a new <em>n</em>-gram based algorithm for predicting and quantifying strain-level taxa from whole genome metagenomic sequencing data. We used ten simulated dataset ( from GI tract reference genomes) to measure the sensitivity and specificity of StrainIQ software in strain identification.</p> <p>Please find the new link for this data at https://zenodo.org/record/8132164</p>
Simulated metagenomic datasets used for determining the threshold score cutoff for taxa prediction using StrainIQ software
<p>StrainIQ (Strain Identification and Quantification) is a novel tool that implements a new <em>n</em>-gram based algorithm for predicting and quantifying strain-level taxa from whole genome metagenomic sequencing data. To avoid the false positive prediction of by StrainIQ algorithm, we determined cutoff score for each site specific n-gram model called DSEM (DNA Signature Element Model) using positive and negative metagenomic datasets. The Figure2-datasets.zip has positive (from GI tract genomes) and negative (from non-GI tract genomes) simulated metagenomic datasets that were used for determining optimal cut-off based on GI tract DSEM.</p> <p>Please find the new link for this data at https://zenodo.org/record/8132164</p>
3D Printed Model Simulator or Virtual Reality Software for Training Fiberoptic Intubation Skill
ClinicalTrials.gov study NCT05143606. IPD Sharing: NO. Countries: 1. Publications: 10.
Software code for simulations and analyses concerning the calculation of canopy stomatal conductance at eddy covariance sites
Open the record for dataset details and reuse information.
Input files and scripts for Hamiltonian replica-exchange molecular dynamics simulations of intrinsically disordered proteins using a software GROMACS patched with PLUMED
<p>Here we share the necessary files and scripts to run Hamiltonian replica-exchange molecular dynamics simulations of intrinsically disordered protein studied in the preprint uploaded to bioRxiv (doi: https://doi.org/10.1101/2020.06.16.155374). It requires software GROMACS patched with PLUMED.</p>
Data and Software: Upsampling Monte Carlo Reactor Simulation Tallies in Depleted SFR Assemblies using a Convolutional Neural Network
<p>Datasets and code used in upsampling OpenMC SFR simulation neutron flux tallies.</p>
Replication Package of the paper "Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software"
<p># Replication Package of the paper "Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software"<br> ## SDC-Scissor (Self-Driving Car coSt-effeCtIve teSt SelectOR)</p> <p><br> ### Structure<br> - datasets: the datasets we used in our study for training and evaluating ML Models<br> - RQs: the extended results and analysis for each of the RQs mentioned in the paper </p> <p>More information on each topic can be found in the README file in the subfolders.<br> </p>
Models, scripts, simulated data, and results from the article "Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework."
Open the record for dataset details and reuse information.
Software and simulations for smBEVO publication
<p>Software and simulations for the publication "smBEVO: A computer vision approach to baseline drift correction for single-molecule time series". Preprint available on bioRxiv at https://doi.org/10.1101/2021.11.12.468397.</p>
Immersion enthalpies of nanomaterials (metals, metal oxides, organic chemistry structures) in water and octanol through molecular dynamics simulations with GROMACS and LAMMPS software
<p>Molecular dynamics simulations (free energy calculations) of water interface properties of spherical and Wulff structures nanoparticles (metals, metal oxides and carbon structures) with GROMACS and LAMMPS software.</p>
Software Infrastructure to Enable Modeling & Simulation as a Service (M&SaaS) Project
Software Infrastructure to Enable Modeling & Simulation as a Service (M&SaaS) Project
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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.