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.

104

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

104 results for “accretion”

Learn how ShareScore rates datasets ↗
edi60/100

Comparing vertical accretion, organic carbon (C) sequestration, and nitrogen burial between a natural, never diked tidal salt marsh and a hydrologically restored tidal salt marsh on Sapelo Island, Georgia.

Restoration of tidal marshes throughout the 20th century have attempted to bring back important functions of natural tidal systems. In this study, vertical accretion, organic carbon (C) sequestration, and nitrogen burial were compared between a natural, never diked tidal salt marsh and a hydrologically restored tidal salt marsh on Sapelo Island, Georgia to examine the impacts of restoration years later. On Sapelo Island there are two marshes near the University of Georgia Marine Institute, one of which is a natural marsh, and one of which is a restored marsh. The restored marsh had been diked in 1948, and the dike was breached, allowing for the marsh to be restored, in 1956. Soil cores were collected from both marshes, and the sediments were analysed for Nitrogen and Carbon concentrations and bulk density. This analysis was used to determine accretion rates for the two marshes as well as changes in the restored marsh since the dike was breached. Nitrogen burial, carbon sequestration, and soil accretion in the restored marsh as compared to the natural marsh were the focus of this study.

openCC (other)Nov 2024View details →
zenodo48/100

X-rays across the galaxy population: The distribution of AGN accretion rates as a function of stellar mass and redshift

<p>We&nbsp;provide measurements of the probability distribution function of specific black hole&nbsp;accretion rates within a sample of galaxies of a given stellar mass and redshift,&nbsp;<span class="math-tex">\(p(\log \lambda_{sBHAR} | M_*,z)\)</span>. Measurements are provided&nbsp;for all galaxies, star-forming galaxies and quiescent galaxies. We also provide estimates of the AGN duty cycle, <span class="math-tex">\(f(\lambda_{sBHAR} &gt;0.01)\)</span>&nbsp;i.e. the fraction of galaxies with an AGN above a given limit in specific accretion rate, based on the probability distribution functions.&nbsp;Full details are provided in Aird et al. (2018, MNRAS, 474, 1225); please cite this publication if you use these measurements.&nbsp;</p>

opencc-by-sa-4.0Oct 2017View details →
edi48/100

Soil accretion at 10 GCE marsh sampling sites from December 2011 to December 2016

The accretion of soil was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2011 to May 2016 Feldspar marker layers were deposited in 0.25m by 0.25m quadrats in the marsh plain at each site in December 2011, then replicate soil cores were removed at approximately 6 month intervals to measure accretion above the marker layer. Due to bioturbation disturbing the sediments, Feldspar was re-deposited after cores were taken approximately every 6 months. This study is part of the GCE sediment monitoring program, and was conducted to evaluate the effects of freshwater input on soil accretion.

openCC (other)Sep 2021View details →
edi48/100

Short term accretion measured using marker horizon of feldspar at Space For Time locations.

This dataset provides a survey of short term accretion across the PIE LTER at both high and low marsh sites. A marker horizon plot was established and sampled annually to determine depth of accretion since deployment.

openCC (other)Mar 2023View details →
zenodo44/100

Planetesimal gradual accretion and thermal dynamo results

<p>Numerical modelling code&nbsp;used to produce data&nbsp;and&nbsp;figures in the publication Dodds et al., 2020 &#39;The thermal evolution of planetesimals during accretion and differentiation: consequences for dynamo generation by thermally-driven convection.&#39;&nbsp;</p> <p>Data used to produced figures in above publication also included here.</p> <p>Please contact Kathryn Dodds with any questions.</p>

opencc-by-4.0Sep 2020View details →
zenodo44/100

Data and configuration files for "Expansion of accreting main-sequence stars during rapid mass transfer"

<p>Data and configuration files that can be used to reproduce results from the paper&nbsp;<a href="https://ui.adsabs.harvard.edu/abs/2024ApJ...966L...7L/abstract">Expansion of Accreting Main-sequence Stars during Rapid Mass Transfer</a>. This directory contains MESA inlists and starting models used for calculations performed with MESA r15140, and YAML configuration files for calculations performed with COMPAS v02.41.04.</p> <p>See README.txt for a description of all files.</p> <p>&nbsp;</p> <p>Any work making use of these files should cite</p> <p>Lau, M., Hirai, R., Mandel, I., Tout, C., 2024, Expansion of Accreting Main-sequence Stars during Rapid Mass Transfer, ApJL, 966, 1</p> <div></div>

opencc-by-4.0Jan 2024View details →
zenodo44/100

Stochastic accretion of the Earth

<p>Raw output data associated with the publication &#39;Stochastic accretion of the Earth&#39; in Nature Astronomy.&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo44/100

Riverbank Erosion and Accretion from Landsat

<p>Riverbank erosion presents a serious risk to people and infrastructure. These risks are becoming increasingly hard to predict because of direct modification of the rivers by damming and bank stabilization, as well as indirect modification by climate change and land use change. Geomorphologists have developed scaling relationships based on watershed characteristics; however, these relationships are very coarse and limited by the available data. This research uses twenty years of satellite imagery to develop the first global dataset of riverbank erosion, which both confirms existing knowledge and opens new avenues of research.</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

Simulation data files of the article: "The dimming of RW Auriga. Is dust accretion preceding an outburst?"

<p>We make available here the simulation output files used in the paper &quot;The dimming of RW Auriga. Is dust accretion preceding an outburst?&quot; by G&aacute;rate et al. (2019). The simulation shows the gas and dust evolution of a protoplanetry disk in the event of a dead zone reactivation.</p> <p>The simulations were performed using DustPy (Stammler &amp; Birnstiel, in prep.) to solve the advection of gas and dust, along with the coagulation and fragmentation of multiple dust species.</p> <p>Each folder corresponds to one of the simulation sets presented in the article, with the &quot;CORE&quot; identifier corresponding to the fiducial parameters. Each datafile corresponds to one snapshot of a simulation, with the data0000.hdf5 being the disk conditions at the moment of the dead zone reactivation.</p> <p>The simulation data is saved in hdf5 format. We include the jupyter notebook as a guide of how to read and plot the simulation files. Additional comments about each simulation are included in the notebook.</p>

opencc-by-4.0Nov 2018View details →
zenodo44/100

Supplementary Material for "A comparative high-resolution spectroscopic analysis of in situ and accreted globular clusters"

<p>This is a file containing supplementary material for the paper&nbsp;<em>A comparative high-resolution spectroscopic analysis of in situ and accreted globular clusters.</em> For each star in target globular clusters, it lists crucial information on the linelist analyzed. In particular:</p> <ol> <li>Star ID.</li> <li>Chemical element.</li> <li>Wavelength.</li> <li>log <em>gf</em></li> <li>Excitation potential.</li> <li>Measured equivalent width with uncertaintiy.</li> </ol>

opencc-by-4.0Oct 2024View details →
zenodo44/100

Database of Accreting Binary Simulations

<p>We present <strong>DABS</strong> (Database&nbsp; of Accreting Binary Simulations), an open-access database of modelled Low Mass X-ray Binaries (LMXBs).&nbsp; DABS has been created using evolutionary tracks of neutron star and black hole LMXBs, spanning a large set of initial conditions for the accretor mass, donor mass, and orbital period. The LMXBs are evolved with the Convection and Rotation Boosted&nbsp; Magnetic Braking prescription. The most important asset of this online database is the tool <strong>PEAS</strong> (Progenitor Extractor for Accreting Systems) <a href="https://github.com/ChatrikMangat/progenlmxb">https://github.com/ChatrikMangat/progenlmxb</a>. This tool can be used to predict the progenitors of any user-entered LMXB system and view their properties before the start of mass transfer. This prediction can facilitate preliminary searches for the progenitors of observed&nbsp; LMXBs, which can help in streamlining further detailed analyses. The PEAS tool can also be used to constrain population synthesis techniques that specialize in supernova kicks in binaries and common envelope outcomes.</p>

opencc-by-4.0Aug 2022View details →
edi44/100

Soil accretion at 10 GCE marsh sampling sites from December 2001 to May 2011

The accretion of soil was measured in tidal marshes at 10 GCE-LTER sampling sites from December 2001 to May 2005. Feldspar marker layers were deposited in 0.25m by 0.25m quadrats in the marsh plain at each site in December 2001, then replicate soil cores were removed at approximately 6 month intervals to measure accretion above the marker layer. This study is part of the GCE sediment monitoring program, and was conducted to evaluate the effects of freshwater input on soil accretion.

openCustomJan 2020View details →
zenodo40/100

Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries

<p>These are the results from:</p> <p>&quot;Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries&quot;<br> Authors: L.A.C. van Son, S. E. de Mink, F. S. Broekgaarden, M. Renzo, S. Justham, E. Laplace, J. Moran-Fraile, D. D. Hendriks, and R. Farmer</p> <p>ADS: &nbsp;&nbsp; &nbsp;https://ui.adsabs.harvard.edu/abs/2020arXiv200405187V/abstract<br> arXiv:&nbsp;&nbsp; &nbsp;https://arxiv.org/abs/2004.05187</p> <p>If you use (part of) these results in a scientific publication, we would greatly appreciate it if you would cite the source paper.</p> <p>This work uses <a href="https://compas.science/">COMPAS</a> to compute binary population properties (<a href="http://https://github.com/TeamCOMPAS/COMPAS/tree/master/docs">https://github.com/TeamCOMPAS/COMPAS/tree/master/docs</a>).</p> <p>*****************************</p> <p>For each of our 4 model variations (0. Fiducial, 1. Stable accretion, 2. Common envelope accretion and 3. Combined) we provide 2 files:</p> <p>1.) pythonSubmit.py file describing the initial conditions that were used to run the simulations</p> <p>2.) COMPASOutput.h5 file, which contains the following datasets resulting from our simulations :<br> [&#39;systems&#39;,<br> &nbsp;&#39;doubleCompactObjects&#39;,<br> &nbsp;&#39;commonEnvelopes&#39;,<br> &nbsp;]</p> <p>Detailed descriptions of these groups can be found in the accompanying README file.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Comprehensive Archive of Substellar and Planetary Accretion Rates

<p>Comprehensive Archive of Substellar and Planetary Accretion Rates (CASPAR) is a compilation of 1000+ published and uniformly derived accretion rates for brown dwarfs, planets, and stars. &nbsp;It includes photometry, astrometry, physical stellar parameters, and accretion properties. &nbsp;The archive&nbsp;is composed of two parts: (1) the Literature Database, containing the original published data, and (2) CASPAR, a uniformly rederived version with physical stellar and accretion parameters updated for consistently with: Gaia distances, <a href="https://ui.adsabs.harvard.edu/abs/2015A%26A...577A..42B/abstract">Baraffe+2015</a> evolutionary models, and <a href="https://ui.adsabs.harvard.edu/abs/2017A%26A...600A..20A/abstract">Alcal&agrave;+2017</a> scaling relations. &nbsp;</p> <p>The living catalogue is found as a Google spreadsheet below.&nbsp;Please check the spreadsheet for updates and additions. &nbsp;</p> <p><a href="https://bit.ly/CASPARdb">https://bit.ly/CASPARdb</a></p> <p>The first public release is posted here as .csv files and&nbsp;published in <a href="https://ui.adsabs.harvard.edu/abs/2023AJ....166..262B/abstract">Betti+2023</a>, and&nbsp;are accretion rates published prior to early 2022. &nbsp;When using data from the Literature Database, please cite the individual papers from which the data come from (ADS links are given in the original reference column in the google spreadsheet). Using CASPAR, please cite <a href="https://ui.adsabs.harvard.edu/abs/2023AJ....166..262B/abstract">Betti+2023 </a>and for research benefiting from this database, please cite this Zenodo post. &nbsp;</p> <p>Contributions to CASPAR can be sent via Google form at: <a href="https://forms.gle/wZRg9NCg42WPX8Cd9">https://forms.gle/wZRg9NCg42WPX8Cd9</a></p> <p>&nbsp;</p> <p>-----</p> <p>Description of this Zenodo inspired by UltracoolSheet: <a href="https://doi.org/10.5281/zenodo.4169085">https://doi.org/10.5281/zenodo.4169085</a></p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

The Accretion History of AGN I: Supermassive Black Hole Population Synthesis Model

<p>The X-ray Luminosity Function attached to this paper:&nbsp;https://ui.adsabs.harvard.edu/#abs/arXiv:1810.02298</p> <p>The python script contains instructions on how to calculate space densities using the numpy array.</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

Reproduction package for the article "Accretion disc cooling and narrow absorption lines in the tidal disruption event AT 2019dsg"

<p>This is the&nbsp;reproduction package for the MNRAS Article &quot;Accretion disc cooling and narrow absorption lines in the tidal disruption event AT 2019dsg&quot; by Cannizzaro et al (2021). It contains the reduced optical data, the scripts used for the emission lines fitting and the code used to perform the host galaxy subtraction.</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Disk population synthesis data for the article: "Large gaps and high accretion rates in photoevaporative transition disks with a dead zone"

<p>We make available here the results of our gas evolution simulations for the article &quot;Large gaps and high accretion rates in photoevaporative transition disks with a dead zone&quot;.</p> <p>We include the result of our population synthesis study, consisting in 10 tables corresponding to 9 models including both dead zone and photoevaporation, and 1 control model including photoevaporation only. The results can be plotted using the &quot;Plotting-PopulationSynthesisModels.ipynb&quot; jupyter notebook.</p> <p>The tables including a dead zone are named as: Macc_Rhole_Pop_AD(X)_RD(Y).txt, where (X)*1.e-4 corresponds to the turbulence in the dead zone, and (Y)*AU corresponds to the dead zone radial extent.</p> <p>The tables include the following fields: Simulation ID, Time [Myr] at which the snapshot was taken, Gap size [AU] measured at the outer edge, Accretion rate log[Msun/yr], and Gas disk mass. We also include a table called &quot;LxRc_Distribution.txt&quot;, that indicates the X-ray luminosity log[erg/s] and initial disk characteristic radius [AU] used for the corresponding Simulation ID.</p> <p>&nbsp;</p> <p>We also include the gas surface density evolution of a Control simulation, with photoevaporation only (with Lx = 1.e30 erg/s), and a Dead Zone + Photoevaporation simulation (with dead zone turbulence 1.e-4, and dead zone radial extend 10 AU). These can be plotted using the &quot;Plotting-SingleGasEvolution.ipynb&quot; jupyter notebook.</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

Reproduction package for the paper "Forming equal mass planetary binaries via pebble accretion"

<p>This is a basic reproduction package for the paper &quot;Forming equal mass planetary binaries via pebble accretion&quot; by T.J. Konijn et al.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Data for "A large gas-phase source of esters and other accretion products in the atmosphere"

<p>The data used in the preparation of the manuscript &quot;A large gas-phase source of esters and other accretion products in the atmosphere&quot;. The data set includes the full mass spectra of all of the isotope labelled experiments show in the Fig. 3 of the manuscript (MS_data.zip), and the files&nbsp;for the quantum chemical calculations throughout the manuscript (Final-QC-out.zip).</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Gravity modes on rapidly rotating accreting white dwarfs and their variation after dwarf novae

<p>MESA (r10398) inlist files and Gyre (5.2) files used in preparation of the paper &quot;Gravity modes on rapidly rotating accreting white dwarfs and their variation after dwarf novae&quot;. More details for specific files are given in README.txt.&nbsp;</p>

opencc-by-4.0Apr 2023View 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