Skip to main content
Powered by ShareScore

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.

74

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

74 results for “white dwarfs”

Learn how ShareScore rates datasets ↗
zenodo36/100

The C-flame Quenching by Convective Boundary Mixing in Super-AGB Stars and the Formation of Hybrid C/O/Ne White Dwarfs and SN Progenitors

<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2013ApJ...772...37D/abstract">Denissenkov et al. (2013)</a>. MESA version 4631.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1088/0004-637X/772/1/37">10.1088/0004-637X/772/1/37</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Polluting white dwarfs with perturbed exo-comets

<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017MNRAS.469.2750C/abstract">Caiazzo et al. (2017)</a>. MESA version 5456.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.1093/mnras/stx1036">10.1093/mnras/stx1036</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Effective temperatures of cataclysmic-variable white dwarfs as a probe of their evolution

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.466.2855P">Effective temperatures of cataclysmic-variable white dwarfs as a probe of their evolution</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Tidal dissipation and evolution of white dwarfs around massive black holes: an eccentric path to tidal disruption

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.468.2296V">Tidal dissipation and evolution of white dwarfs around massive black holes: an eccentric path to tidal disruption</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/#abs/2017MNRAS.470L...6S/abstract">Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

New full evolutionary sequences of H- and He-atmosphere massive white dwarf stars using MESA

<p>MESA inlists associated with&nbsp;<a href="https://ui.adsabs.harvard.edu/?#abs/2018MNRAS.480.1547L">New full evolutionary sequences of H- and He-atmosphere massive white dwarf stars using MESA</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Carbon Shell or Core Ignitions in White Dwarfs Accreting from Helium Stars

<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016ApJ...821...28B">Brooks et al. (2016)</a>. MESA version 7624.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.3847/0004-637X/821/1/28">10.3847/0004-637X/821/1/28</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Fast and Luminous Transients from the Explosions of Long-lived Massive White Dwarf Merger Remnants

<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...850..127B">Brooks et al. (2017)</a>. MESA version 9793.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.3847/1538-4357/aa9568">10.3847/1538-4357/aa9568</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Properties of Carbon-Oxygen White Dwarfs From Monte Carlo Stellar Models

<p>MESA inlists and models associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016ApJ...823...46F">Fields et al. (2016)</a>. MESA version 7624.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.3847/0004-637X/823/1/46">10.3847/0004-637X/823/1/46</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

PTF1 J082340.04+081936.5: A Hot Subdwarf B Star with a Low-mass White Dwarf Companion in an 87-minute Orbit

<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...835..131K">Kupfer et al. (2017)</a>. MESA version 8118.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.3847/1538-4357/835/2/131">10.3847/1538-4357/835/2/131</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Accretion-induced Collapse from Helium Star + White Dwarf Binaries

<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...843..151B">Brooks et al. (2017)</a>. MESA version 7624.</p> <p>Publication DOI:&nbsp;<a href="https://doi.org/10.3847/1538-4357/aa79a6">10.3847/1538-4357/aa79a6</a></p>

opencc-by-4.0Mar 2019View details →
zenodo36/100

Model Fit Figures for: The 100 pc White Dwarf Sample in the SDSS Footprint II. A New Look at the Spectral Evolution of White Dwarfs

<p>Figures for the model atmosphere fits to the spectroscopically confirmed white dwarfs in the 100 pc sample and the SDSS footprint (<span>arXiv:2412.04611).&nbsp;</span></p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Blue large-amplitude pulsators formed from the merger of low-mass white dwarfs

<p>Here you will find the files necessary to reproduce the simulations from our work using the MESA (version 23.05.01), GYRE (version 6.0.1), and COSMIC (version 3.4.10) codes.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

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>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Data release for "Identifying LISA verification binaries among the Galactic population of double white dwarfs"

<p>Posterior samples and SNR calculations associated with&nbsp;<em>Identifying LISA verification binaries among&nbsp;the Galactic population of double white dwarfs</em>&nbsp;(<a href="https://arxiv.org/abs/2210.10812">arxiv:2210.10812</a>, <a href="https://doi.org/10.1093/mnras/stad1288">MNRAS, 522, 5358 (2023)</a>).</p> <p>The <code>data</code> folder contains the following:</p> <ul> <li><code>vb_table</code>: Verification binary (VB) candidate properties obtained from&nbsp;electromagnetic (EM) observations. This data was compiled by Kupfer et al. and is available at&nbsp;<a href="https://gitlab.in2p3.fr/LISA/lisa-verification-binaries">https://gitlab.in2p3.fr/LISA/lisa-verification-binaries</a>&nbsp;(accessed on 2022 September 2). Used in Table 1.</li> <li><code>snr</code>:&nbsp;&nbsp;SNR calculations for each VB candidate as a function of mission duration.&nbsp;Used in Figure 2.</li> <li><code>basic</code>: Gravitational-wave (GW) parameter estimation study of each VB candidate. Used in Table 2 and Figure 3.</li> <li><code>detection_time</code>: VB SNR calculations with source property (and LISA launch time) uncertainty taken into account. Used in Figure 1&nbsp;and Figure 4.</li> <li><code>em_priors</code>: GW parameter estimation study with EM information included in the priors. Used in Figure 5.</li> <li><code>unknown_noise</code>: GW parameter estimation study&nbsp;with the inclusion of noise parameters to vary the PSD. Used in Figure 6.</li> <li><code>filtered_populations</code>: Source properties of DWDs nearby in frequency to each VB candidate. See the <code>confused_sources.ipynb</code> notebook. Used in Figure 7.</li> <li><code>confusion_snr</code>: SNR calculations of the above confusion sources. Used in Figure 7.</li> <li><code>confusion</code>: A analysis of V803Cen&nbsp;with a realistic Galactic population of DWDs included in the data. Used in Figure 8.</li> </ul> <p>Code to reproduce every figure from the paper is available in <code>plots</code>.</p> <p>Supplementary notebooks associated with the generation of a realistic data instance (i.e. including a simulated Galactic population of DWDs nearby in frequency to V803Cen) can be found in <code>notebooks</code>.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

White Dwarfs Revealed in Gaia's Candidate Compact Object Binaries

<p>Discovery and characterisation of black holes (BHs), neutron stars (NSs), and white dwarfs (WDs) with detached luminous companions (LCs) in wide orbits are exciting because they are important test beds for dark remnant (DR) formation physics as well as binary stellar evolution models. Recently, 187 candidates have been identified from <em>Gaia</em>&#39;s non-single star catalog as wide orbit (P<sub>orb</sub>/day&gt;45), detached binaries hosting DRs. We identify UV counterparts for 49 of these sources in the archival GALEX&nbsp;data. Modeling the observed spectral energy distribution (SED) spanning FUV-NUV to IR for these sources and stellar evolution models, we constrain the LC properties including mass, bolometric luminosity, and effective temperature for these 49 sources. Using the LC masses, and the astrometric mass function constrained by <em>Gaia,</em> we constrain the DR masses for these sources. We find that 9 have masses clearly in the NS or BH mass range. Fifteen sources exhibit significant NUV excess and 4 show excess both in FUV and NUV. The simplest explanation for these excess UV fluxes is that the DRs in these sources are WDs. Using SED modeling we constrain the effective temperature and bolometric luminosity for these 15 sources. Our estimated DR masses for all of these 15 sources are lower than the Chandrasekhar mass limit for WDs. Interestingly, five of these sources had been wrongly identified as neutron stars in literature.</p> <p>MIST_OUTPUT.zip : MIST output file for mass estimations</p> <p>Readme : Description of MIST_output files.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Seismic Signatures of the 12C(α, γ)16O Reaction Rate in White Dwarf Models with Overshooting

<p>This data set has all necessary files and scripts to reproduce figures 1-8 in our accepted manuscript.</p>

opencc-by-4.0Jul 2023View details →
dryad36/100

Numerical code and data for the stellar structure and dynamical instability analysis of generalised uncertainty white dwarfs

Open the record for dataset details and reuse information.

publicMay 2021View details →
zenodo32/100

The White Dwarf Opportunity - Supplementary material

<p>Supplementary&nbsp;material for &#39;<em>The White Dwarf Opportunity: Robust Detections of Molecules in Earth-like Exoplanet Atmospheres with the James Webb Space Telescope</em>&#39;&nbsp;-&nbsp;ApJL&nbsp;(2020).</p> <p>This repository contains three figures, and full posterior probability distributions, corresponding to the modelling and retrieval analysis from Kaltenegger &amp; MacDonald et al. (2020).&nbsp;The supplementary materials are&nbsp;as follows:</p> <ul> <li><strong>WD_host_spectrum</strong>&nbsp;- comparison between the Sun&#39;s spectrum and the&nbsp;5000 K white dwarf spectrum used in our atmospheric models.</li> <li><strong>Mixing_ratio_profiles&nbsp;</strong>- calculated atmospheric mixing ratio profiles of H<sub>2</sub>O, CH<sub>4</sub>, O<sub>3</sub>, CO<sub>2</sub>, N<sub>2</sub>O, CO, and CH<sub>3</sub>Cl for an Earth-like planet in the white dwarf habitable zone.</li> <li><strong>PT_profile&nbsp;</strong>- calculated pressure-temperature (P-T) profile&nbsp;for an Earth-like planet in the white dwarf habitable zone.</li> <li><strong>Posterior_N_trans_...</strong>&nbsp;- full posterior distributions from the atmospheric retrievals corresponding to 1, 2, 3, 5, 10, 25, 50, and 100 transits with JWST&#39;s NIRSpec Prism.&nbsp;&nbsp;Each corner plot&nbsp;depicts correlations between pairs of retrieved parameters and marginalised histograms for each parameter. Where parameters have clear upper and lower bounds, the median retrieved values and &plusmn;1&sigma; confidence levels are given. Otherwise, parameter constraints are expressed as 2&sigma; upper or lower bounds.</li> </ul> <p>For any questions, please contact: rmacdonald@astro.cornell.edu&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

On The Impact of 22Ne On The Pulsation Periods of Carbon-Oxygen White Dwarfs With Helium Dominated Atmospheres

<p>This file contains the python scripts needed to re-produce figures 2-11&nbsp;in our paper. &nbsp;It also contains the information to re-run our 22Ne tests and other WD mass models. &nbsp;The README.md file contains a more detailed description of the data. &nbsp;</p>

opencc-by-4.0Sep 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record