Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
30
datasets available to search
ShareScore release 0.9.0
Dataset results
30 results for “Type Ia Supernova”
The data behind the ApJ article "Environmental Dependence of Type Ia Supernovae in Low-Redshift Galaxy Clusters"
<p>Data from "Environmental Dependence of Type Ia Supernovae in Low-Redshift Galaxy Clusters", <a href="https://ui.adsabs.harvard.edu/abs/2023arXiv230601088L/abstract">NASA ADS</a></p><p>inner_cluster_data.csv and outer_cluster_data.csv include the SALT3 mB, x1, and c parameter values, distance moduli and Hubble residuals (with _1 referring to Figure 9 and _2 referring to Figure 10), outlier designation from MCMC procedure, host cluster, host cluster redshift (with Hubble diagram version converted to frame of CMB), host cluster r500, projected separation from cluster center, NED Host galaxy name, photometrically-derived estimate for host mass, host or SN redshift used in analysis, and the Host SFR category (Q: quiescent, SF: star-forming, GV: green valley) for our cluster SNe Ia.</p><p>sf_field.csv and quiescent_field.csv contain SALT parameter values, distance moduli and Hubble residuals (from Figure 10), host galaxy sSFR and mass measurements, and host redshifts (all spectroscopic, also with Hubble diagram converted values) for SNe Ia in our field samples.</p><p>full_cluster.csv contains the data from the table in the appendix of the paper.</p><p>The inner_cluster_/outer_cluster_mcmc_samples.csv files contain the samples needed to reproduce the corner plot for Figure 10.</p><p>The Python scripts recreate the figures from the paper given the above data. The details for which columns and constraints needed to reproduce the figures are included in these files.</p>
dataset for "Non-LTE Synthetic Observables of a Multidimensional Model of Type Ia Supernovae"
<p>Included here are datafiles supplementary to the article "Non-LTE Synthetic Observables of a<br>Multidimensional Model of Type Ia Supernovae" (Boos, Dessart, Townsley, Shen), submitted <br>to ApJ/arxiv in October 2024. This is a revised version of the dataset using an improved<br>method to generate the 1D LTE observables (1D LTE and pseudo-2D non-LTE observables have<br>thus changed from the previous version).</p> <p>We include in this dataset the 2D double detonation ejecta model (produced in Boos et al. 2021),<br>as well as the 15 wedge profiles constructed from this model, which were used in the radiative<br>transfer calculations of this work. These profiles are provided in Sedona input format. The<br>headers/columns for the 1D profiles are as follows:<br>1: Sedona model type<br>2: num_cells, rmin, ejecta time, num_isos<br>3: isos<br>4-: v_r, rho, T, X_a, X_b, etc.</p> <p>We also include the synthetic spectra and photometry from this work. These synthetic observables<br>are given for each set of calculations (1D LTE, 2D LTE, 1D non-LTE, and pseudo-2D non-LTE) between<br> -3 and +15 d from maximum light. The photometry is given in absolute magnitude in the Vega system.<br>The spectra have been rebinned such that the bins are the same between the Sedona and CMFGEN<br>calculations. The flux in these spectral files is given for a distance of 1 kpc.</p> <p><br>-Samuel J. Boos (sjboos@crimson.ua.edu)</p>
Host Data from: [O II] as an Effective Indicator of the Dependence Between the Standardised Luminosities of Type Ia Supernovae and the Properties of their Host Galaxies
<p>Spectral properties of the Foundation Host Galaxies presented in the paper: <span>[O</span> II<span>] as an Effective Indicator of the Dependence Between the </span><span>Standardised Luminosities of Type Ia Supernovae and the Properties of </span><span>their Host Galaxies.</span></p> <p><span>Spectra were taken using the WiFeS instrument on the ANU 2.3m Telescope.</span></p>
Statistical Test of Distance–Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations (3rd version)
<p><strong>Summary</strong></p> <p>This package contains data and processing tools for replicating the research presented in the paper "Statistical Test of Distance–Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations" (2018, ApJ, DOI: <a href="https://doi.org/10.3847/1538-4357/aac88f">10.3847/1538-4357/aac88f</a>, <a href="https://arxiv.org/abs/1604.04631">arXiv:1604.04631</a>).</p> <p>The compressed archive file "ddmc-nosample-v3.1.tar.xz" contains only the compressed SNIa data, the BAO measurements, and 3rd-party data files used in this work. The random samples can be re-created by the tools included in the package. This is the file suitable for low-speed download.</p> <p>The file "ddmc-v3.1.tar.xz" contains the full set of random sample output files and analysis results in addition to those in the "ddmc-nosample-v3.1.tar.xz" file. This is the archive containing all the data and figure files used directly in the paper.</p> <p>To uncompress the files, the XZ Utils software package is required.</p> <p>The file "CHECKSUM.asc" is a GPG-clearsigned text file containing the SHA-512 checksum values for file integrity verification. The text file itself is signed with the GPG key 0xE977A6E990102402 available from keyservers.</p> <p>Please read the README files in each package for more details and instructions.</p> <p><strong>Release notes for version 3.1</strong></p> <p>Version 3.1 is a minor revision with the addition of some alternative input parameter distributions.</p> <p><strong>Release notes for version 3</strong></p> <p>This is the 3rd version representing a re-written analysis of the distance-duality test. This new version updated and renamed the complementary parameter (CP) sets to match the ones used in the paper. New results concerning the interpretation of results as a diagnostics of distance measurement systematics are presented. Also included are updated utility scripts, new tests for Gaussian approximation to the results, and new data-visualization scripts.</p> <p><strong>Earlier versions</strong></p> <p>Earlier versions are available from Zenodo. Links: <a href="https://doi.org/10.5281/zenodo.49825">v1</a>, <a href="https://doi.org/10.5281/zenodo.57982">v2</a>.</p>
Type Ia supernovae from non-accreting progenitors: data, python scripts and mesa inlists
<p>This release contains the inlists and final profiles described in: Antoniadis et al., "Type Ia supernovae from non-accreting progenitors" Mesa v. 10398</p>
Probabilistic Reconstruction of Type Ia Supernova SN 2002bo
<p><strong>SN2002bo_emulator_paper_data</strong></p> <ul> <li>The TARDIS configuration YAML file used as a template for the training spectra.</li> <li>HDF5 file of posterior samples of model parameters and their associated weights from the nested sampler.</li> </ul> <p><strong>SN2002bo_emulator_paper_spectra</strong></p> <ul> <li>Input grid of model parameters and corresponding spectra produced by TARDIS used to generate the training grid of the emulator.</li> </ul>
Statistical Test of Distance-Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations (2nd version)
<p>This package contains data and processing tools for replicating the research presented in the paper "Statistical Test of Distance-Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations" (2016, preprint, arXiv:1604.04631 https://arxiv.org/abs/1604.04631).</p> <p>An earlier version (https://zenodo.org/record/49825) has already been made available. In this updated version, we use the recently released consensus BOSS BAO measurement results (arXiv:1607.03155) as the source of angular-diameter distances. The choices of complementary cosmological parameters are expanded to include extensions to the Planck base-ΛCDM model parameters. In addition, various programming bugs are fixed.</p> <p>The compressed archive file "ddmc-nosample-v2.tar.bz2" contains only the compressed SNIa data, the BAO measurements, and the Planck chain files. The random samples can be re-created by the tools included in the package. This is the file suitable for low-speed download.</p> <p>The file "ddmc-v2.tar.bz2" contains the full set of random sample output files and analysis results in addition to those in the "ddmc-nosample-v2.tar.bz2" file.</p> <p>The file "CHECKSUM-sha1" contains the SHA1 hash values for verifying file integrity.</p> <p>Please read the README files in each package for more details and instructions.</p>
Statistical Test of Distance-Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations (1st version)
<p>This package contains data and processing tools for replicating the research presented in the paper "Statistical Test of Distance-Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations" (2016, preprint, arXiv:1604.04631 https://arxiv.org/abs/1604.04631).</p> <p>The compressed archive file "ddmc-nosample.tar.bz2" contains only the compressed SNIa data, the BAO data parameters, and the Planck chain files. The random samples can be re-created by the tools included in the package. This is the file suitable for low-speed download.</p> <p>The file "ddmc.tar.bz2" contains the full set of random sample output files and analysis results in addition to those in the "ddmc-nosample.tar.bz2" file.</p> <p>The file "CHECKSUM-sha1" contains the SHA1 hash values for verifying file integrity.</p> <p>Please read the README files in each package for more details and instructions.</p>
Effects of Type Ia Supernovae in young globular clusters
<p>Talk at Elba 23, conference in honor of Mike Rich</p>
Reanalysed JLA Type Ia Supernovae Data with 2M++ Density Field
<p>These are the data products to supplement Rahman et al. 2021 here https://arxiv.org/abs/2108.12497</p> <p>The covariance file statssys_JLA_A2_no_colour_off_diag.gz contains the new peculiar velocity corrections and removes the off-digonal colour correlations to be consistent with the selection effects methodlogy applied in Rahman et al. 2021</p> <p>If you want the color covariances to be included because you want to ignore the selection effects analysis in the paper or apply your own, this version of the covariance matrix is called statssys_JLA_A2.gz</p> <p> </p> <p> </p> <p>nb: for each 3 x 3 sub matrix, the order of the covariance matrix is color, x1, mb on the diagonal.</p> <p> </p>
The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae classification probabilities with SuperNNova
<p>Classification probabilities obtained for the Dark Energy Survey 5-year photometrically identified SN Ia.</p> <p>Probabilities were obtained with SuperNNova (Möller et al. 2020) using multi-band light-curves and host galaxy redshifts. The classification models were trained to disentangle type Ia vs. non Ia supernovae.</p>
WiFeS observation of southern nearby Type Ia supernova host galaxies
<p>This repository contains all the reduced and spatially-binned spectral data used in this work. Refer to the README for more detailed information. </p>
Neutronization During Carbon Simmering In Type Ia Supernova Progenitors
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016ApJ...825...57M">Martínez-Rodríguez et al. (2016)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/0004-637X/825/1/57">10.3847/0004-637X/825/1/57</a></p>
Multidimensional Parameter Study of Double Detonation Type Ia Supernovae Originating from Thin Helium Shell White Dwarfs
<p>This dataset provides the end-state ejecta data for each of the simulations from Boos et al. 2021, along with condensed versions for use in radiative transfer calculations.</p>
Stable nickel production in Type Ia supernovae: A smoking gun for the progenitor mass?
<p>Model spectra from Blondin et al. (2022). This second version includes spectra of the uniformly-mixed versions of model DDC15, which were accidentally omitted from the first version.</p>
TARDIS configuration and emulator weights and training data for "1991T-Like Type Ia Supernovae as an Extension of the Normal Population"
<p>This dataset contains two archives of data related to the paper "1991T-Like Type Ia Supernovae as an Extension of the Normal Population"<br> <br> The first dataset, <a href="https://zenodo.org/api/files/de696fe0-3280-44f2-8ef4-975b92fad260/TARDIS_Emulator_Config.tar.gz">TARDIS_Emulator_Config.tar.gz </a>, contains the atomic data used to run TARDIS and a template configuration file from which samples are generated including the flags for the physics implementation used.</p> <p>The second dataset, InferenceScripts.tar.gz, contains the trained probabilistic neural network, the training/validation data (Under NNData), and scripts used to train the model and load and evaluate the model. Scripts that perform inference on spectra, as well as a folder of observed spectra (Under CorrectedSpectra), are included as well. A conda environment yaml file is included to rebuild the Python environment required to run all of the scripts. For questions please email John O'Brien.</p>
Evidence for sub-Chandrasekhar-mass progenitors of Type Ia supernovae at the faint end of the width-luminosity relation
<p>Hydrodynamical inputs and synthetic spectra for the complete DDC, SCH, and PDDEL model series published in Blondin et al. (2017), MNRAS, 470, 157.</p>
Candidate strongly-lensed Type Ia supernovae in the Zwicky Transient Facility archive
<p>Data sets used for Figures in the article "Candidate strongly-lensed Type Ia supernovae in the Zwicky Transient Facility archive" Townsend et al.</p>
MESA inlists for: Type Ia Supernovae from the First Generation Stars
<p>MESA input files associated with the paper "Type Ia Supernovae from the First Generation Stars". This directory contains MESA inlists and run_star_extras.f used for calculations performed with MESA r12115. The MESASDK version is aarch64-macos-22.10.1. </p> <p> </p> <p>MESA simulations of Single Degnerate Channel for SNe Ia at zero metallicity. The Common Envelope Wind model (Meng,X & Podsiadlowski,Ph) is adopted.</p> <p>inlist1: Evove the 1st star (primary star)</p> <p>inlist2: mass point (Secondary star)</p> <p>inlist_project: Inputs for binary evolution</p> <p>run_binary_extras.f: The Common Envelope Wind model for WD accretion. </p>
Shocking and Mass Loss of Compact Donor Stars in Type Ia Supernovae
<p>MESA inlists and output files, Athena++ input and output files and simulation movies for the paper "Shocking and Mass Loss of Compact Donor Stars in Type Ia Supernovae" . Uses MESA version 24.03.1, and MESA SDK version aarch64-macos-23.10.1. See README for details.</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.