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567 results for “Simulated datasets”
Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere"
<p>Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere", including magnetic fields and parallel and perpendicular temperatures of energetic electrons.</p>
CL-Windcon high fidelity SOWFA simulations dataset
<p>This document presents a description and a guideline for using the CL-Windcon project high fidelity SOWFA computations data sets.</p> <p>CL-Windcon project (Closed Loop Wind Farm Control) is a H2020 EU funded projects that brings up with new innovative ways of focusing the design and operation of wind farms, as it tries to put light into the wind farm closed-loop control paradigm, enhancing the understanding and modelling of the flow dynamics inside the wind farm, in order to simultaneously improve the efficiency and reliability and therefore reducing the cost of energy. More information about the project can be found at <a href="https://www.clwindcon.eu">https://www.clwindcon.eu</a> .</p> <p>This SOWFA dataset contains the computations carried out with SOWFA within the CL-Windcon project for creating a public database that could be useful to adjust the wakes of the engineering models.</p> <p>The dataset is stored at an FTP repository owned by CENER. The data set is open access under requirement. To get access to the data, please send an email to <a href="mailto:clwindconftp@cener.com">clwindconftp@cener.com</a> with the title "Cl-Windcon FTP data access request".</p>
The simulated dataset associated with the paper "Mesoscale modelling of optical turbulence in the atmosphere: The need for ultrahigh vertical grid resolution"
<p>The WRF model-generated meteorological profiles are available in netcdf format. More information will be provided shortly. </p>
Dataset for molecular simulations of human IRE1 tetramer models.
<p>Dataset from SymmDock protein-protein docking of different conformers of IRE1 tetramers (dimer of back-to-back dimers); input files scripts and trajectories from subsequent MD simulations using Gromacs. Videos showing PC1 and PC2 of tetramers <em>y</em>IRE1<sub>4</sub> (S1, S2), <em>h</em>IRE1<sub>4</sub>(R) (S3, S4), <em>h</em>IRE1<sub>4</sub>(L) (S5,S6) and <em>h</em>IRE1<sub>4</sub>(S) (S7,S8), in avi format.</p>
Dataset of gas permeability and flux simulation of poplar tension wood
<p>The datasets generated during the study <Relationship between pore structure and gas permeability in poplar (<em>Populus deltoides</em> CL.'55/65') tension wood>.</p> <p> </p>
Dataset for the article "Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems"
<p>This dataset contains additional material related to the article "Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems". The article is available at <a href="https://doi.org/10.1063/1.5144298">https://doi.org/10.1063/1.5144298</a> (open access).<br> <br> Note that the current version of the dataset is not complete. The complete dataset will be uploaded as soon as possible.</p>
Dataset of "Gravity Wave Activity in the Atmosphere of Mars During the 2018 Global Dust Storm: Simulations With a High-Resolution Model" (1/2)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Gravity Wave Activity in the Atmosphere of Mars During the 2018 Global Dust Storm: Simulations With a High-Resolution Model" by T. Kuroda, A.S. Medvedev and E. Yiğit.</p> <p>Each file with the name starting 'data' contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) (unit: hPa) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T) (unit: K), zonal wind velocity (u) (unit: m/s), meridional wind velocity (v) (unit: m/s) and vertical wind velocity (w) (unit: m/s), in snapshots of every 1/6 Sol for the periods of 30 degrees in Ls per a file as described below. The dust scenario implemented for producing this dataset is taken from Montabone et al. (2020), which is based on the observed dust opacity in Mars Year 24 (MY34).</p> <p>data180rdc-my34.tar.xz: for Ls=180-210 (49 Sols)</p> <p>data210rdc-my34.tar.xz: for Ls=210-240 (47 Sols)</p> <p>data240rdc-my34.tar.xz: for Ls=240-270 (46 Sols)</p> <p>The .tar.xz files can be extracted in Linux with 'tar Jxvf' command, and .grd and .ctl files with the same stem are generated.</p> <p>The file 'flux61ls5-my34.tar.xz' contains the three-dimensional fluxes and physical parameters calculated from the model output with the MY34 dust scenario. The contents are (T')^2, (u')^2, (v')^2, u'v', u'w', v'w' T(bar), u(bar), v(bar), squared Brunt-Vaisala frequency, and geopotential height. (bar) denotes the sum of the total wavenumber s=0-60 components, and the dash denotes the deviation from (bar), i.e. sum of the total wavenumber s=61-106 components. There are 36 time grids between Ls=182.5 and Ls=357.5 with the step of Ls=5 degrees. Kinetic and potential energies can be derived from these values using the formulae in the paper.</p> <p>The file 'flux61ls5-lowdust.tar.xz' is the same as 'flux61ls5-my34.tar.xz', except the model output with the 'low-dust' scenario (Kuroda et al., 2019; Kuroda, 2019a, 2019b).</p> <p>The file 'scripts.zip' contains the FORTRAN scripts to derive the fluxes and physical parameters equivalent to the file 'flux61ls5-my34.tar.xz' from the model outputs in this dataset and Kuroda (2020), i.e. data180rdc-my34.tar.xz, data210rdc-my34.tar.xz, data240rdc-my34.tar.xz, data270rdc-my34.tar.xz, data300rdc-my34.tar.xz and data330rdc-my34.tar.xz. Also, the fluxes and physical parameters equivalent to the file 'flux61ls5-lowdust.tar.xz' can be derived with those scripts from the model outputs data180rdc.tar.xz, data210rdc.tar.xz, data240rdc.tar.xz, data270rdc.tar.xz, data300rdc.tar.xz and data330rdc.tar.xz which are available in Kuroda (2019a, 2019b).</p>
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning: W+jet large test dataset
<p>W+jet events at generator and reconstruction level, used to train analysis-specific generative models.</p> <p>Events are represented as an array of relevant high-level features. Reco objects are matched to Gen objects and a minimal selection is applied to define the generator support in the N-dim space identified by the input features.</p> <p>About 2M events, used for large-scale testing</p> <p>Details in https://arxiv.org/abs/2010.01835</p>
Dataset for METAPOPGEN 2.0: a multi-locus genetic simulator to model populations of large size
<p>Multi-locus genetic processes in subdivided populations can be complex and difficult to interpret using theoretical population genetics models. Genetic simulators offer a valid alternative to study multi-locus genetic processes in arbitrarily complex scenarios. However, the use of forward-in-time simulators in realistic scenarios involving high numbers of individuals distributed in multiple local populations is limited by computation time and memory requirements. These limitations increase with the number of simulated individuals. We developed a genetic simulator, <span>MetaPopGen</span> 2.0, to model multi-locus population genetic processes in subdivided populations of arbitrarily large size. It allows for spatial and temporal variation in demographic parameters, age structure, adult and propagule dispersal, variable mutation rates and selection on survival and fecundity. We developed <span>MetaPopGen</span> 2.0 in the R environment to facilitate its use by non-modeler ecologists and evolutionary biologists. We illustrate the capabilities of <span>MetaPopGen</span> 2.0 for studying adaptation to water salinity in the striped red mullet <i>Mullus surmuletus</i>.</p>
Dataset to reproduce MD simulations described in " Insights on the dynamics of the human zinc transporter ZnT8 by MD simulations"
<p>Second version includes full length 6xpf-based models and corresponding MD simulations.</p>
Dataset to "Nanothermodynamic description and molecular simulation of a single-phase fluid in a slit pore"
<p>This is the dataset presented in the article "Nanothermodynamic description and molecular simulation of a single-phase fluid in a slit pore" [1]. The columns from left to right are</p> <ul> <li>Slit pore height</li> <li>Normal pressure</li> <li>Standard deviation of the mean of the normal pressure</li> <li>Integral pressure</li> <li>Standard deviation of the mean of the integral pressure</li> <li>Surface tension</li> <li>Standard deviation of the mean of the surface tension</li> <li>Normal pressure from local fluid number density profile</li> <li>Standard deviation of the mean of the normal pressure from local fluid number density profile</li> <li>Fluid number density</li> <li>Standard deviation of the mean of the fluid number density</li> <li>Number of samples</li> <li>Zeroes</li> <li>Temperature</li> <li>Standard deviation of the mean of the temperature</li> <li>Potential energy</li> <li>Standard deviation of the mean of the potential energy</li> <li>Kinetic energy</li> <li>Standard deviation of the mean of the kinetic energy</li> </ul> <ol> <li>https://arxiv.org/abs/2012.00562</li> </ol>
Dataset and simulation files for article: "Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices"
<p>Dataset and simulation files for article: "Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices"</p>
Dataset for "Studying the effect of membrane permeability with a GPU-based Bloch-Torrey simulator"
<p>This dataset contains the results of the GPU-based simulations of diffusion in cardiac tissue. The data was used for the work presented at the ISMRM 27th Annual Meeting in 2019.</p>
Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Dataset
<p>At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, many sources of disturbance and, thus, uncertainty exist. For these reasons, perfectly coordinated processes can potentially unravel. This study analyzes simulation-based optimization, an approach that considers uncertainty by means of simulation while optimizing a given objective. The developed procedure simultaneously scales the amount of utilized equipment and adjusts the selection and tuning of operational policies. Thus, the benefits of a simulation study and an integrated optimization framework are combined in a new way. Four meta-heuristics - Tree-structured Parzen Estimator, Bayesian Optimization, Simulated Annealing, and Random Search - guide the simulation-based optimization process. Thus, this study aims to determine a favorable configuration of equipment quantity and operational policies for container terminals using a small number of experiments and, simultaneously, to empirically compare the chosen meta-heuristics including the reproducibility of the optimization runs. The results show that simulation-based optimization is suitable for identifying the amount of required equipment and well-performing policies. Among the presented scenarios, no clear ranking between meta-heuristics regarding the solution quality exists. The approximated optima suggest that pooling yard trucks and a yard block assignment that is close to the quay crane are preferable.</p> <p>The dataset is stored in the Excel file named <em>Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Dataset.xlsx</em>.This contains the data to create the figures and the data to run the statistics. The data analysis is stored in the Jupyter Notebook named<em> Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals - Data Analysis.ipynb</em>. This contains tje code to create the figures and the data to run the statistics.</p>
Dataset for "Verifying Monte Carlo simulations of diffusion tensor cardiovascular magnetic resonance using a finite volume method"
<p>This dataset contains the results of random walk and finite volume simulations of diffusion in cardiac tissue. The data was used for the work presented at the 8th World Congress of Biomechanics in 2018.</p>
Simulation Results to Analyse the Benefits of Information Sharing - Dataset
<p>This is a data set used to obtain the results described in the paper "Shall We Collaborate? A Model to Analyse the Benefits of Information Sharing" published in the proceedings of the 3rd Workshop on Information Sharing and Collaborative Security (WISCS 2016), Vienna, Austria, 2016.</p>
Dataset of the analysis described in the article: EM signal penetration in a planetary soil simulant: Estimated attenuation rates using GPR and TDR in volcanic deposits on Mount Etna
<p>GPR and TDR Data collected at two sites on Mount Etna.</p> <p>See for more details the article</p>
Simulated barcoded Rep-seq datasets (IGH, barcode length: 15 nt)
<p>Simulated barcoded Rep-seq libraries with various amplification error rates for repertoire from doi.org/10.5281/zenodo.823351. Barcode errors, barcode collisions and chimeric reads are introduced into datasets. Barcodes are encoded in headers.</p>
Dataset of paper "Comparison of radiant intensity in aqueous media using experimental and numerical simulation techniques"
<p>Dataset of paper "<strong>Comparison of radiant intensity in aqueous media using experimental and numerical simulation techniques</strong>":</p><ul><li>Relative spectral intensity for each light source as recorded by ILT RAA4 spectroradiometer.</li><li>Material and optical properties of the quartz tube.</li><li>Wavelength specific refractive index and quantum yield in water.</li><li>Ray tracing data vs experimental data (FX-1 265).</li><li>Plot of peak intensity vs working distance (in air) and Comparison between radiometry and ray tracing in the presence of a quartz tube in front of the light source for FX-1 265.</li><li>Recorded peak intensity at multiple working distances using radiometry and ray tracing.</li><li>Comparison between average light loss at multiple distances in radiometry, ray tracing and transmission curve due to quartz material and Plot of percentage light loss for all wavelengths at multiple working distances due to quartz material.</li><li>Data on loss of intensity in comparison with the transmission curve.</li><li>Recorded peak intensity at multiple working distances between simulation tools.</li><li>Comparison between ray tracing, DOM and radiometry for FX-1 265, Uniformity plot obtained from radiometry, ray tracing interface and DOM.</li><li>Data on comparison between actinometry measurements and ray tracing.</li><li>Plot of intensity with wavelength between the two techniques.</li><li>Comparison between measured intensity in air and water medium for FX-1 265.</li><li>Plot of change in peak intensity as light propagates through the quartz tube within the UV fixture at multiple working distances for FX-1 265.</li><li>Simulated intensity in water at different points within the tube.</li></ul><p> </p>
Dataset for Simulation-guided engineering of split GFPs with efficient β-strand photodissociation
<p>Files associated with performed experiments and simulations, including source data from experimental measurements and simulations, starting structures, parameters, simulation input files, and short videos of simulation trajectories. </p><p>Simulation files include:</p><ul><li>Initial coordinates of the GFP chromophore for geometry optimization and RESP calculations in GAUSSIAN</li><li>Parameter and starting files for QM/MM calculations around the conical intersection in TeraChem</li><li>Parameter, coordinate and input files for regular MD and simulated annealing simulations in AMBER</li><li>Parameter, coordinate and input files for umbrella sampling simulations of isomerization in AMBER</li><li>Results files from TeraChem</li></ul><p>Additionally, short videos are included of simulations of the <i>cis</i> and <i>trans</i> conformations.</p><p>Experimental source data include: </p><ul><li>UV-vis data from strand-exchange experiments</li><li>Mass spectrometry data</li><li>Fluorescence data</li></ul>
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.