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Contact tracing of binary stars: Pathways to stellar mergers (online data)
<p><strong># Data for Henneco et al. (2024)</strong></p> <p>This repository contains the input files required to reproduce the MESAbinary models from Henneco et al. (2024). It also contains the full machine-readable version of Table G.1. For an overview of the quantities in each column, we refer to the notes underneath Table G.1 in the paper.</p> <p>MESA r12778<br>MESA SDK 20.3.2</p> <p><strong>## MESA_inlists</strong></p> <p>- <strong>inlist1</strong>: inlist for the initially more massive primary star</p> <p>- <strong>inlist2</strong>: inlist for the initially less massive secondary star</p> <p>-<strong> inlist_project</strong>: inlist for the binary system</p> <p> </p> <p><strong>## run_extras</strong></p> <p>- <strong>run_star_extras.f</strong>: subroutines and functions for the individual stars</p> <p>- <strong>run_binary_extras.f</strong>: subroutines and functions for the binary system</p> <p> </p> <p><strong>## MESA_ZAMS_models</strong></p> <p>Precomputed ZAMS models read in through <strong>inlist1</strong> and <strong>inlist2</strong>.</p> <p> </p> <p><strong>## table_G1_full.txt</strong></p> <p>Full machine-readable version of Table G.1.<br> </p> <p><strong>## MESA_models_output</strong></p> <p>Detailed output of the MESAbinary calculations. <em>Will be added in due time.</em></p>
Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Observations and Results
<p>This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains observational data and the resulting measurements for the stellar properties of the stars analyzed in the article, along with best fit spectral models and spectral models used to estimate the wind mass loss rate of the stars. Below, we describe the content in more detail:</p> <ul> <li><strong>0_ReadMe.txt</strong>: A text file where we describe some more details regarding the content.</li> <li><strong>S2_stacked_stellar_spectra.tar.gz (4.6 MB):</strong> The spectra we use for obtaining stellar properties for the observed stars.</li> <li><strong>Table2.txt</strong>: the apparent AB magnitudes with associated errors for the stars we analyze in the paper.</li> <li><strong>Table3.txt</strong>: the stellar properties for the stars we analyze in the paper. These parameters are obtained by spectral fitting.</li> <li><strong>S5_spectra_best_fit_models.tar.gz (14 MB):</strong> The spectral energy distributions and normalized spectra for the best-fit models, recomputed such that the radius and bolometric luminosity also matches. This tarball contains best-fit spectra for all of the stars in text-files labeled with the format SED_StarX_xxx.txt (~70 MB when inflated). The stellar parameters are presented in Section 5.</li> <li><strong>S5_full_best_fit_models.tar.gz (1.9 GB):</strong> The full CMFGEN version of the best-fit models for each individual star. This tarball contains a tarball for each star, which when inflated becomes ~250-550 MB each. </li> <li><strong>S7_spectra_mdot_models (31 MB): </strong>The spectral energy distributions and normalized spectra for the models used in the mass-loss analysis that we present in Section 7.</li> <li><strong>S7_full_mdot_models (3.5 GB):</strong> The full CMFGEN version of the spectral models used for the mass-loss rate variation presented in section 7 (excluding the best-fit models, which are provided separately).</li> </ul>
A seven-Earth-radius helium-burning star inside a 20.5-min detached binary
<p><strong>2024-02-19 updated for including the full MESA inlists of evolutionary models.</strong></p> <p><strong>MESA_inlist.zip</strong> -<strong> </strong>the full MESA inlists of evolutionary models (including evolutions of single stars and binaries).</p> <p>_____________________________________________________________________________________________________________________</p> <p>This record contains the data of spectra, photometries and models used for the paper <em><strong>A seven-Earth-radius helium-burning star inside a 20.5-min detached binary</strong>,<a href="https://www.nature.com/articles/s41550-023-02188-2"> click here</a></em></p> <p><strong>J0526_fchart.png</strong> - the finder chart of J0526;</p> <p><strong>J0526_Keck_[0-5].spec </strong> (in Keck_ori_spectra.zip)<strong> </strong>- Keck I/LRIS spectra of J0526;</p> <p><strong>J0526_GTC_[0-6].spec </strong> (in GTC_ori_spectra.zip)<strong> </strong>- GTC/OSIRIS spectra of J0526;</p> <p><strong>J0526_GTC_syn_[0-6].spec </strong> (in GTC_spectra_models.zip)<strong> </strong>- GTC/OSIRIS spectra and their best-fit TLUSTY/Synspec spectra;</p> <p><strong>J0526_RV_bary_corrected.dat</strong> - the barycenter-corrected radial velocities derived from LRIS and OSIRIS spectra;</p> <p><strong>J0526_SED.dat</strong> - the photometric fluxes in the broad-band SED and corresponding synthetic fluxes from the best-fit model spectrum;</p> <p><strong>ZTF_J0526_[r,g].dat </strong>(in light_curves.zip) - ZTF <em>r</em>-/<em>g</em>-band light cuvrs of J0526, the raw data were provided by NASA/IPAC Infrared Science Archive (<a href="https://irsa.ipac.caltech.edu/">https://irsa.ipac.caltech.edu</a> );</p> <p><strong>Lijiang_J0526_[r,g].dat </strong>(in light_curves.zip) - LJT <em>r</em>-/<em>g</em>-band light cuvrs of J0526;</p> <p><strong>TMTS_J0526_L.dat </strong>(in light_curves.zip) - LJT <em>L</em>-band light cuvrs of J0526;</p> <p><strong>CHeB_c[0.32,0.33,0.34]+H1e-6.track</strong> (in MESA_models.zip) - the evolutionary tracks for core helium-burning stars with He-core mass of [0.32,0.33,0.34] M<sub>sun</sub> and H-envelope mass of 1e-6 M<sub>sun</sub>;</p> <p><strong>ZAHeMS_H0_sequence.dat</strong> (in MESA_models.zip) - the zero-age He-star sequence (without H envelope);</p> <p><strong>ZAHeMS_H1e-6_sequence.dat</strong> (in MESA_models.zip) - the zero-age He-star sequence (with H-envelope mass of 1e-6 M_sun );</p> <p><strong>binary_0.33+0.735.dat </strong> (in MESA_models.zip) - the binary evolutionary track for a core helium-burning star (M<sub>core</sub>=0.33 M_sun, M<sub>env</sub>=1e-6 M_sun ) and a CO WD (M=0.735 M_sun);</p> <p><strong>binary_0.36+0.735.dat </strong> (in MESA_models.zip) - the binary evolutionary track for a core helium-burning star (M<sub>core</sub>=0.36 M_sun, M<sub>env</sub>=1e-6 M_sun ) and a CO WD (M=0.735 M_sun);</p> <p><strong>J0526_[SED, RV, lc]_fit_corner.png</strong> - the corner plots for [SED, RV, light curve] MCMC fit.</p>
Binary black-hole simulation SXS:BBH_ExtCCE:0013
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_precessing' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0012
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_antialigned_chi0_4' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0011
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_aligned_chi0_4' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0009
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_superkick' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0010
<p>Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q4_nospin' in the related literature.</p>
Binary black-hole simulation SXS:BBH_ExtCCE:0008
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_precessing' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0007
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_6' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0006
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_4' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0005
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_antialigned_chi0_2' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0003
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_aligned_chi0_4' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0002
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_aligned_chi0_2' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0001
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_nospin' in the related literature.
Binary black-hole simulation SXS:BBH_ExtCCE:0004
Simulation of a black-hole binary system evolved by the <a href="https://www.black-holes.org/code/SpEC.html">SpEC code</a>, with CCE extraction by the <a href="https://spectre-code.org/">SpECTRE code</a>, and additional post-processing by the <a href="https://github.com/moble/scri">scri module</a>. This simulation has also been referred to as 'q1_aligned_chi0_6' in the related literature.
dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
<p>dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning</p>
Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations
<p>These supplementary data accompany the paper "Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations", <a href="https://iopscience.iop.org/article/10.3847/1538-3881/ada564" target="_blank" rel="noopener">published by the Astronomical Journal</a>. Table data are also available through the <a href="https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/AJ/169/145" target="_blank" rel="noopener">VizieR service</a>. <br><a href="https://ui.adsabs.harvard.edu/abs/2025AJ....169..145C/abstract" target="_blank" rel="noopener">ADS: 2025AJ....169..145C</a>, <a href="https://arxiv.org/abs/2412.20986" target="_blank" rel="noopener">arXiv: 2412.20986</a></p> <p>Observations were obtained with the Speckle Polarimeter (SPP) instrument of the 2.5-m telescope of the Caucasian Observatory of the SAI MSU.</p> <p>Full versions of Table 5 and Table 6, containing binarity information and detection limits, are stored in "table5.mrt" and "table6.mrt". Contrast curves and autocorrelation functions for all observed objects are stored in "acfs/" folder inside "SPP_contrastCurves_ACFs_Pleiades.zip". These plots can be accessed directly with filename search by Gaia DR3 source identifier. The csv-table "contrastCurves_ACFs_filenames_info.csv" contains additional information about observations - date of observation, passband, seeing, comments etc. We provide a small Jupyter notebook script "display_contrastCurves_ACFs.ipynb" to display available observations along with fragments of Table 5 and Table 6 for specified object.</p>
Data release: Searching for binary black hole sub-populations in gravitational wave data using binned Gaussian processes
<p>The data required to reproduce the analyses of "Searching for binary black hole sub-populations in gravitational wave data using binned Gaussian processes" (<a href="https://arxiv.org/abs/2404.03166" target="_blank" rel="noopener">arxiv:2404.03166</a>). The main inference code can be found at <a href="https://github.com/AnaryaRay1/gppop/tree/spin-dev" target="_blank" rel="noopener">https://github.com/AnaryaRay1/gppop/tree/spin-dev </a> (commit: <a href="https://github.com/AnaryaRay1/gppop/commit/ee5ffc421e2c96eeed15a0e0d3839da42b982842">ee5ffc</a>). To reproduce the analyses, follow the instructions at <a href="https://github.com/AnaryaRay1/bbh-subpopulations-scripts">https://github.com/AnaryaRay1/bbh-subpopulations-scripts</a> (commit <a href="https://github.com/AnaryaRay1/bbh-subpopulations-scripts/commit/de88f931d8c1a2cb31ad2fa9d6fdf9a5a00a3c3b">de88f93</a>). Frozen versions of these repositories that were used to generate all the results are available as part of this data release, in the files "gppop_spin_dev_ee5ffc421.tar.gz" and "bbh-subpopulations-scripts_de88f931.tar.gz" respectively.</p>
Data For Survival of the Fittest: Testing Superradiance Termination with Simulated Binary Black Hole Statistics
<p>This repository is associated with the GitHub repository: https://github.com/jacquelynzhy/Statistical_Superradiance, which includes the code to reproduce the findings of Zhu et al. (2025). Specifically, the file "Output1.dat" here represents the output of running ZEVN with the initial conditions outlined in Section 3.1 of Zhu et al. (2025), which only included BH-BH binaries. For the values generated by a ZEVN run and instructions on how to select the type of remnants you are interested in, please refer to <a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.485..889S/abstract">Spera et al. (2019)</a> and the ZEVN GitHub page at: https://gitlab.com/sevncodes/sevn.</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
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.