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Dataset results
20 results for “galaxy simulation”
Simulated galaxy cluster data at z=0 demonstrating the entropy core problem with the SWIFT-EAGLE galaxy formation model
<p>Cluster simulated with the SWIFT hydrodynamic code with the Ref SWIFT-EAGLE model. This dataset contains the redshift 0 snapshot and the VELOCIraptor halo catalogue.</p> <p>Paper reference: https://arxiv.org/abs/2210.09978</p>
Particle Trace of a Milky Way Mass Galaxy from the EAGLE simulations
<p>This repository contains .npy files, loaded like:</p> <pre><code class="language-python">with open('EAGLE_MW_trace_coords.npy', 'rb') as f: coordinates = np.load(f) dmcoordinates = np.load(f) with open('EAGLE_MW_trace_redshifts.npy', 'rb') as f: redshifts = np.load(f)</code></pre> <p>which contain the locations of particles (gas, stars and dark matter) which are within 30pkpc of the centre of a Milky Way stellar mass galaxy from the EAGLE suite of simulations. This dataset was primarily produced to look at the accretion of matter onto galaxies like the Milky Way, studying how they assemble over time, which makes for some quite pretty visualisations <a href="https://github.com/jmackereth/galactic-assembly-art.git">(explored in this repository)</a>.</p> <p>the file 'EAGLE_MW_trace_coords_downsampled_10.npy' contains the same data but for a downsampled set of particles (by a factor of 10).</p>
Merger simulation (elliptical & spiral galaxy)
<p><strong>Gadget-2 (Springel 2005) simulation of 3.56 Gyr evolution of a shell-creating merger with 1:10 stellar-mass ratio, elliptical primary galaxy and secondary with inclined disk and 6 kpc impact parameter. One second of the video corresponds to 60 Myr. For more details, see <a href="https://ui.adsabs.harvard.edu/abs/2020A%26A...634A..73E/abstract">Ebrová et al. (2020, A&A 634, 73)</a> </strong></p>
First Light And Reionisation Epoch Simulations (FLARES) IV: The size evolution of galaxies at z≥5
<p>Galaxy size results from the FLARES simulations. This is the companion dataset to: https://arxiv.org/abs/2203.12627 containing the data plotted within. The codes used to produce the data are available on GitHub: https://github.com/WillJRoper/flares-sizes-obs</p>
Cellulose test input dataset for simulations with Galaxy and BRIDGE
<p>This coordinate and protein structure file dataset is that of cellulase and octaose substrate <em>in vacuo</em>. It has been derived from the <a href="https://www.rcsb.org/structure/7cel">7CEL PDB</a> structure of a fungal cellobiohydrolase. </p> <p>The original enzyme has been modified to revert the mutation at position 217 and to include disulfide bonds. The octaose substrate is an oligosaccharide consisting of 8 beta 1-4 linked glucose monomers. </p> <p>The files includes are: </p> <ul> <li><strong>cbh1test.crd</strong>: the coordinates of the entire system (protein and substrate) in CHARMM coordinate format. </li> <li><strong>cbh1test.psf</strong>: the CHARMM protein structure file which contains lists of molecular information including atomic masses, all bond pairs, angle triples and so on.</li> </ul>
Simulations of the NGC-5466 tidal stream in a Galactic-like potential, with and without dwarf galaxies included
<p>A mock stream of NGC-5466 simulated with the particle-spray code `galpy.df.streamspraydf`, which is an implementation of the Fardal et al 2015 mock stream generation method. The current position and velocity of the progenitor globular cluster is from Vasiliev et al 2019. The progenitor's orbit is back-integrated 5 Gyr in a `galpy.potential.MWPotential2014` potential then forward integrated, forming the tidal tails. The file with the name 'dwarfgalaxy' includes the effects of dwarf galaxies on the stream. For more information see (and cite) <a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E/abstract">https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E</a>.</p>
Test-particle simulations for "Quantifying the influence of bars on action-based dynamical modelling of disc galaxies"
<p>This contains the test-particle simulations of barred galaxies with varying bar properties (bar strength, pattern speed) which have been used in the manuscript "Quantifying the influence of bars on action-based dynamical modelling of disc galaxies" by Ghosh, S., Trick, W. H., Green G. M. (2022).</p> <p>For details for the datasets, please see the README.md file.</p> <p>For any further information, please feel free to contact Ghosh, Soumavo (ghosh@mpia.de).</p> <p> </p>
Protein Structure Files and Galaxy Workflows for Conducting Molecular Dynamics Simulations of Coronavirus Helicases
<p>The files included here are a set of Galaxy workflows, starting structure files (PDB, mol2, and frcmod), and specialized force field files (ZAFF) for the simulation of coronavirus helicases in the apo and drug-bound state. The inhibitor molecules include those from virtual screening (FCID1 and thioguanine), as well as experimentally validated candidates (Lumacaftor and SSYA10-001).</p>
Protein Structure Files and Galaxy Workflows for Conducting Molecular Dynamics Simulations of Flavivirus Helicases
<p>The files included here are a set of Galaxy workflows and starting structure files (PDB, mol2, and frcmod) for the simulation of flavivirus helicases in the apo and drug-bound state. The inhibitors include the 4th highest ranking compound from a virtual screening of more than 12.7 million drug-like molecules.</p>
Protein Structure Files and Galaxy Workflows for Conducting Molecular Dynamics Simulations of Coronavirus Helicases -- Output Files
<p>These are the output files generated using the input files and Galaxy workflows for coronavirus helicase simulations, from: </p> <pre>https://doi.org/10.5281/zenodo.7492987</pre>
Spatially resolved mock observations of stellar kinematics: full radiative transfer treatment of the simulated galaxies of the Auriga project
<p>We present realistic mock spectroscopic observations for state-of-the-art hydrodynamical simulations, using high spectral resolution stellar population models (FSPS) and full radiative transfer treatment with SKIRT. The dataset contains IFS-like spectroscopy of the stellar continuum for 10 (of the 30) galaxies in the Auriga Project at z=0. One galaxy at z=0.8 (Au 6) and another at z=3 (Au 29).</p>
The Data For Inside-Out versus Upside-Down: The Origin and Evolution of Metallicity Radial Gradients in FIRE Simulations of Milky Way-mass Galaxies and the Essential Role of Gas Mixing
<p>The files titled Graf et al. 2024b store the x-axis and y-axis values for each line in each figure. The files which end in .py are the scripts which produced the data in the figures.</p> <p>This data abides by CC-BY.</p>
Synthetic Emission Line Catalog and High-Resolution SEDs for SPHEREx Galaxy Simulations
<p><strong>Overview:</strong></p> <p>This repository contains the synthetic galaxy models derived from multi-wavelength photometry in the COSMOS field (166k galaxies over 1.27 sq. deg., 18 < i < 25) and from the GAMA survey (44k galaxies over 217 sq. deg., i < 18). These encompass a representative sample of galaxies SPHEREx will observe, and should be applicable for other surveys as well.</p> <ul> <li>Synthetic emission line strengths in the rest-frame optical/near-infrared (H-alpha, H-beta, Paschen-alpha, [OIII], [OII], [NII], [SII])</li> <li>High-resolution SEDs (0.1 - 8 micron), which are produced by 1) fitting a library of 160 galaxy templates to multi-band photometry and 2) inserting emission lines with strengths predicted by an empirical model that depends on galaxy type, redshift and stellar mass.</li> </ul> <p>These products were made using the modeling framework <strong>C</strong>onditional <strong>LI</strong>ne <strong>P</strong>ainting on <strong>S</strong>ynthetic <strong>S</strong>pectra (<em>CLIPonSS</em>), the details of which are summarized in Feder+2023b (<a href="https://arxiv.org/abs/2312.04636">arXiv link here</a>). The synthetic emission line catalog is validated against a variety of LF measurements, line ratio trends and direct line comparisons. </p> <p><strong>Data description:</strong></p> <p><em><strong>High-resolution SEDs</strong></em>: The SEDs are stored in .FITS files, for which each galaxy SED has its own Header Data Unit (HDU). This format was chosen due to the fact that the wavelength sampling for the 160 galaxy empirical and model-based templates varies, i.e., we do not perform any interpolation onto a homogenized wavelength grid. In cases where emission lines are added but the continuum template resolution is coarse, the resolution is increased in the vicinity of the emission line(s) to adequately sample the line profiles. Each galaxy's HDU is indexed by its Farmer ID (for COSMOS) or alternatively its uberID (GAMA). The COSMOS SEDs are split into three files for relative ease of access, while the GAMA sources are all in one file.</p> <p><em><strong>Emission line catalogs:</strong></em> The emission line catalogs are stored in .csv format with the following information:</p> <p>Tractor_ID (or uberID) [integer]: Unique identifier for each source</p> <p>RA/DEC [float, in degrees]: Celestial coordinates</p> <p>imag [AB]: i-band magnitude</p> <p>mass_best [float]: log-stellar masses estimated through SED fitting process</p> <p>ebv [float]: Galaxy intrinsic dust extinction (ranging from ebv=0 to 1)</p> <p>redshift [float]: Best-fit redshift from COSMOS2020 (GAMA) catalogs</p> <p>bfit_tid [integer]: Best fit template ID from library of templates</p> <p>dustlaw [integer]: Best fit dust law (1=Prevot, 2=Calzetti, 3=Seaton, 4=Allen, 5=Fitzpatrick)</p> <p>L_{line} [float, erg s-1]: Line luminosities from empirical model</p> <p>F_{line} [float, erg cm-2 s-1]: Line fluxes from empirical model</p> <p>ew_ha [float, Angstrom]: Equivalent width of H-alpha from empirical model</p> <p><strong><em>Fitting templates: </em></strong>We include the 31 model-based templates and 129 empirical templates from Brown+2014. In the Brown templates we have removed any relevant lines that were directly measured in the initial spectra, however we do not fit for/remove PAH features. These can serve as the basis for other empirically based galaxy simulations with different emission line prescriptions.</p> <p>Any questions regarding the use of these data products or related issues can be directed to Richard Feder (link to <a href="https://richardfeder.github.io/">personal website</a>). </p> <p> </p>
Protein Structure Files and Galaxy Workflows for Conducting Molecular Dynamics Simulations of Flavivirus Helicases -- Output Files
<p>These are the output files generated using the input files and Galaxy workflows for flavivirus helicase simulations, from: </p> <pre>https://doi.org/10.5281/zenodo.7493015</pre>
Galaxies simulated with GALFORM
<p>The galaxies in this dataset were simulated with the semi-analytical galaxy formation code GALFORM for the study of Jahns et al. 2023, titled “How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys”. The galaxies are used as the host galaxies of simulated fast radio bursts to do forecasts of their applications.</p> <p>The data comprises the galaxies star formation rate, stellar mass, and the photometric magnitudes in the observer frame, including extinction, in all passbands of the Sloan Digital Sky Survey, the Euclid satellite, the Vera Rubin Observatory, and the DECam.</p>
Simulation data for the article "On the Effect of the Large Magellanic Cloud on the Orbital Poles of Milky Way Satellite Galaxies"
<p>This archive contains the data shared in the context of the "On the Effect of the Large Magellanic Cloud on the Orbital Poles of Milky Way Satellite Galaxies" article.</p> <p>In particular, it contains the initial conditions and final snapshots of our N-body simulation.</p>
age metallicity data for simulated Milky Way mass galaxy from the NIHAO-UHD suite
<p>pickle file containing ages and metallicities of stellar particles from the galaxy g2.79e12 from the NIHAO-UHD simulation suite</p>
The Data For Spatial Variations of Stellar Elemental Abundances in FIRE Simulations of Milky Way-Mass Galaxies: Patterns Today Mostly Reflect Those at Formation
<p>Spatial patterns of stellar elemental abundances encode rich information about a galaxy’s formation<br>history. We analyze the radial, vertical, and azimuthal variations of metals in stars, both today and at<br>formation, in the FIRE-2 cosmological simulations of Milky Way-mass galaxies, and we compare<br>with the Milky Way. Overall, spatial variations of stellar metallicities show only modest differences between formation and today; spatial variations today primarily reflect the conditions of stars at birth, with spatial redistribution of stars after birth contributing secondarily. </p> <p> </p> <p>This data abides by CC-BY.</p>
age metallicity of simulated galaxy g2.79e12 from the NIHAO-UHD suite
<p>python pickle file of a high redshift snapshot from a Milky Way mass galaxy from the NIHAO-UHD suite</p>
The dispersion measure and rotation measure from fast radio burst host galaxies based on the TNG50 simulation
<p>Supplementary data to the paper "The dispersion measure and rotation measure from fast radio burst host galaxies based on the TNG50 simulation" accepted at A&A.</p> <p>The public TNG50 simulation data of the IllustrisTNG project are obtained through the website: https://www.tng-project.org/data/</p> <p>We placed a total of 16.5 million FRBs in 16 500 TNG50 galaxies at redshifts of 0<z<2, with stellar masses in the range 9<log(M*/M_sun)<12. We calculated the DM and RM host galaxy values, which we publish together with the galaxy IDs in TNG50, positions of the FRBs, galaxy inclinations, and the electron density and gas density at the position of the FRBs.</p>
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.