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.

30

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

30 results for “QCD”

Learn how ShareScore rates datasets ↗
zenodo36/100

Z/γ + jets event samples at leading order QCD at 13 TeV (ATLAS validation)

<p>Z/&gamma; plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=13~TeV\)</span></p> <p><span class="math-tex">\(\mu_R=\frac{1}{2}\left(m_{\perp,Z}+\sum_{\rm jets}p_{\perp,j}\right)\\ \mu_F=\frac{1}{N_{\rm jet}}\left(m_{\perp,Z}+\sum_{\rm jets}p_{\perp,j}\right)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p> <p>Files can be filtered and merged using the <a href="https://gitlab.com/shoeche/lheh5-reader">tools provided on GitLab</a></p>

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

Z/γ + jets event samples at next-to-leading order QCD at 13 TeV (ATLAS validation)

<p>Z/&gamma; plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=13~TeV\)</span></p> <p><span class="math-tex">\(\mu_R=\frac{1}{2}\left(m_{\perp,Z}+\sum_{\rm jets}p_{\perp,j}\right)\\ \mu_F=\frac{1}{N_{\rm jet}}\left(m_{\perp,Z}+\sum_{\rm jets}p_{\perp,j}\right)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p> <p>Files can be filtered and merged using the <a href="https://gitlab.com/shoeche/lheh5-reader">tools provided on GitLab</a></p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

UFO model for Vector-like Quarks at NLO QCD with five flavor scheme

<p>Vector-like Quark UFO Model at NLO QCD with five flavour scheme</p>

opencc-zeroAug 2022View details →
zenodo32/100

FASTSUM Generation 2 Anisotropic Thermal Lattice QCD Gauge Ensembles

<p><strong>FASTSUM Generation 2 Anisotropic Thermal Lattice QCD Gauge Ensembles</strong></p> <p>&nbsp;</p> <p>The FASTSUM collaboration <a href="https://fastsum.gitlab.io/">[1]</a> Generation 2 Ensembles are lattice Quantum Chromodynamics (QCD) gauge-ensembles used extensively to examine thermal (non-zero temperature) properties of QCD using the first principles methods of lattice QCD. These are anisotropic lattices using the `fixed-scale` approach to thermal ensembles wherein the temperature is changed entirely by changing the number of points in the temporal direction.</p> <p>&nbsp;</p> <p>These ensembles are freely available (see below). The only requirements of use are that this Zenodo page, and the two papers detailing the ensembles, <a href="https://doi.org/10.1007/JHEP02(2015)186">Electrical conductivity and charge diffusion in thermal QCD from the lattice</a> and <a href="https://link.aps.org/doi/10.1103/PhysRevD.105.034504">Properties of the QCD thermal transition with Nf=2+1 flavors of Wilson quark</a> are appropriately cited.</p> <p>These ensembles are characterised by</p> <ul> <li>\(N_f = 2&nbsp; +1 \) flavour <ul> <li>Degenerate up and down quarks, physical strange quark</li> </ul> </li> <li>spatial lattice spacing \(a_s\) <ul> <li>~0.12 fm</li> </ul> </li> <li>temporal lattice spacing \(a_t\) <ul> <li>~0.035 fm</li> </ul> </li> <li>anisotropy \(\nu = a_s / a_t\) <ul> <li>~3.444</li> </ul> </li> <li>Number of spatial sites NS <ul> <li>NS = 24 or 32</li> </ul> </li> <li>Number of Temporal sites <ul> <li>NT in [16, 48]</li> </ul> </li> <li>Temperatures <ul> <li>117 MeV to 352 MeV</li> </ul> </li> <li>Pseudocritical temperature (from renormalised chiral condensate) <ul> <li>181(1) MeV</li> </ul> </li> <li>Pion mass <ul> <li>\(m_\pi \sim 384\) MeV</li> </ul> </li> <li>Pseudoscalar to vector mass ratio <ul> <li>\( M_\pi / M_\rho \sim 0.446\)</li> </ul> </li> </ul> <p>&nbsp;</p> <p>This choice action and bare parameters follows that of the Hadron Spectrum Collaboration <a href="https://doi.org/10.1103/PhysRevD.78.054501">https://doi.org/10.1103/PhysRevD.78.054501</a>, namely a Symanzik improved gauge action and a tadpole improved Wilson-clover fermion action with stout-smeared links.&nbsp;</p> <p>The main parameters in the lattice action are listed below. The bare fermion anisotropy \(\gamma_f\) is obtained by \(\gamma_f = \gamma_g / \nu\). Full details may be found in <a href="https://doi.org/10.1007/JHEP02(2015)186">Electrical conductivity and charge diffusion in thermal QCD from the lattice</a> and <a href="https://link.aps.org/doi/10.1103/PhysRevD.105.034504">Properties of the QCD thermal transition with Nf=2+1 flavors of Wilson quark</a> which are also attached to this Zenodo record.</p> <ul> <li>gauge coupling <ul> <li>\(\beta = 1.5\)</li> </ul> </li> <li>tree-level coefficients <ul> <li>\(c_0 = 5/3,\, c2=-1/12\)</li> </ul> </li> <li>bare gauge, fermion anisotropy <ul> <li>\(\gamma_g = 4.3,\, \gamma_f = 3.399\)</li> </ul> </li> <li>ratio of bare anisotropies <ul> <li>\(\nu = \gamma_g / \gamma_f = 1.265\)</li> </ul> </li> <li>spatial tadpole (without, with smeared links) <ul> <li>\(u_s = 0.733566, \tilde{u}_s = 0.92674\)</li> </ul> </li> <li>temporal tadpole (without, with smeared links) <ul> <li>\(u_\tau =1, \tilde{u}_\tau =1\)</li> </ul> </li> <li>stout smearing for spatial links <ul> <li>isotropic, 2 steps, \(\rho = 0.14\)</li> </ul> </li> <li>bare light quark mass <ul> <li>\(m_0^l = -0.0840\)</li> </ul> </li> <li>bare strange quark mass <ul> <li>\(m^s_0 = -0.0743\)</li> </ul> </li> <li>light quark hopping parameter <ul> <li>\(\kappa_{light} = 0.2780\)</li> </ul> </li> <li>strange quark hopping parameter <ul> <li>\(\kappa_{strange} = 0.2765\)</li> </ul> </li> </ul> <p>&nbsp;</p> <p>The available ensembles are detailed in the below table</p> <table> <tbody> <tr> <td>\(N_\tau\)</td> <td>16</td> <td>20</td> <td>24</td> <td>28</td> <td>32</td> <td>36</td> <td>40</td> <td>48</td> </tr> <tr> <td>\(N_s\)</td> <td>24, 32</td> <td>24</td> <td>24, 32</td> <td>24, 32</td> <td>24, 32</td> <td>24</td> <td>24</td> <td>32</td> </tr> <tr> <td>\(T\) MeV</td> <td>352</td> <td>281</td> <td>235</td> <td>201</td> <td>176</td> <td>156</td> <td>141</td> <td>117</td> </tr> <tr> <td>\(T / T_{c}\)</td> <td>1.900</td> <td>1.520</td> <td>1.267</td> <td>1.086</td> <td>0.950</td> <td>0.844</td> <td>0.760</td> <td>0.633</td> </tr> <tr> <td>\(N_{cfg}\)</td> <td> <p>1009*, 1172**</p> </td> <td>1000</td> <td> <p>1001, 502</p> </td> <td>1100^, 502</td> <td>1000, 501</td> <td>501</td> <td>523^^</td> <td>501</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>* Only 1000 in openQCD format</p> <p>** Only 591 in openQCD format</p> <p>^ Only 1001 in openQCD format</p> <p>^^ Only 502 in openQCD format</p> <p><strong>Sharing &amp; Usage</strong></p> <blockquote> <p>The ensembles are available on Storj, a decentralised cloud storage service. Our storage here is supported by DiRAC&nbsp;<a href="https://dirac.ac.uk/">[2]</a>. The available data may be viewed and downloaded via web browser or in an automated manner using the S3 interface to Storj <a title="https://rclone.org/storj/" href="https://rclone.org/storj/" target="_blank" rel="noopener">[3]</a>.</p> <p>To view the available data, and download via web browser, the HTTP interface may be used: https://link.storjshare.io/julj4eulkfnqnd26v36des6wvy3a/gen2-configs . To download in an automated manner the S3 interface to Storj may be used [3] with the following Access Key:&nbsp;</p> <p>jxejpzv46zrr3rfnoz66n5px2rca</p> <p>and Secret Key</p> <p>j2o44mi2a76zajpvyv5wjd2wgjqgncfagln6nf6jpwbv7o3npj7t6</p> </blockquote> <blockquote> <p>&nbsp;</p> <p>with the gateway</p> <p><a href="https://gateway.storjshare.io" target="_blank" rel="noopener">https://gateway.storjshare.io</a></p> <p>&nbsp;</p> <p>More details are available from&nbsp; (preferably) the generic email address PhysicsByFASTSUM AT gmail DOT com or one of Chris Allton, Ryan Bignell and Jon-Ivar Skullerud.</p> </blockquote> <p>&nbsp;</p> <p>We supply the gaugefields in at least one of ILDG (Chroma) format and openqcd format. Also supplied are log files, and chroma input files. The gaugefields were generated using Chroma and later converted to openqcd.</p> <p>&nbsp;</p> <p>The ensembles are available for all uses. If they are used, this Zenodo page and two papers detailing the ensembles, <a href="https://doi.org/10.1007/JHEP02(2015)186">Electrical conductivity and charge diffusion in thermal QCD from the lattice</a> and <a href="https://link.aps.org/doi/10.1103/PhysRevD.105.034504">Properties of the QCD thermal transition with Nf=2+1 flavors of Wilson quark</a> must be appropriately cited, i.e. with bibtex</p> <pre><code>@article{Aarts:2014nba, author = "Aarts, Gert and Allton, Chris and Amato, Alessandro and Giudice, Pietro and Hands, Simon and Skullerud, Jon-Ivar", title = "{Electrical conductivity and charge diffusion in thermal QCD from the lattice}", eprint = "1412.6411", archivePrefix = "arXiv", primaryClass = "hep-lat", reportNumber = "HIP-2014-34-TH, INT-PUB-14-060, MS-TP-14-40", doi = "10.1007/JHEP02(2015)186", journal = "JHEP", volume = "02", pages = "186", year = "2015" }</code><br><br>and<br><br><code>@article{PhysRevD.105.034504,</code><br><code>&nbsp; title = {Properties of the QCD thermal transition with ${N}_{f}=2+1$ flavors of Wilson quark},</code><br><code>&nbsp; author = {Aarts, G. and Allton, C. and Glesaaen, J. and Hands, S. and J\"ager, B. and Kim, S. and Lombardo, M. P. and Nikolaev, A. A. and Ryan, S. M. and Skullerud, J.-I. and Wu, L.-K.},</code><br><code>&nbsp; journal = {Phys. Rev. D},</code><br><code>&nbsp; volume = {105},</code><br><code>&nbsp; issue = {3},</code><br><code>&nbsp; pages = {034504},</code><br><code>&nbsp; numpages = {12},</code><br><code>&nbsp; year = {2022},</code><br><code>&nbsp; month = {Feb},</code><br><code>&nbsp; publisher = {American Physical Society},</code><br><code>&nbsp; doi = {10.1103/PhysRevD.105.034504},</code><br><code>&nbsp; url = {https://link.aps.org/doi/10.1103/PhysRevD.105.034504}</code><br><code>}</code><br><br><br></pre> <p>&nbsp;</p> <p><a href="https://fastsum.gitlab.io/">[1] </a>https://fastsum.gitlab.io/</p> <p><a href="https://dirac.ac.uk/">[2]</a> https://dirac.ac.uk/</p> <p><a href="https://rclone.org/storj/">[3]</a> https://rclone.org/storj/</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Elastic nucleon-pion scattering at $m_{\pi} = 200~{\rm MeV}$ from lattice QCD

<p>This archive contains bootstrap samples of single-hadron masses and finite-volume nucleon-pion energies used in https://arxiv.org/pdf/2208.03867. Each (ASCII) file contains 802 lines in the following format:&nbsp;</p> <p>801 1 0 0 1 &nbsp;#Header line.<br> 0 &lt;mean&gt; &nbsp; #the energy evaluated on the mean<br> 0 &lt;bsample 1&gt; #first boostrap sample<br> ....<br> 0 &lt;bsample 800&gt; #800th boostrap sample&nbsp;</p> <p>The directory structure and file names are as follows.&nbsp;</p> <p>single_hadrons/m_&lt;hadron&gt;_smpls.dat &nbsp;</p> <p>where &lt;hadron&gt; = pion or nucleon, contains the single-hadron masses. The I=1/2 and I=3/2 spectra are located in the directories &#39;isodoublet_nonstrange&#39; and &#39;isoquartet_nonstrange_fermionic&#39;, respectively. Each subdirectory contains a single irrep and is denoted &quot;dsq&lt;mom&gt;_&lt;irrep&gt;&quot; and contains files&nbsp;</p> <p>level_&lt;n&gt;_ecm_over_m_smpls.dat</p> <p>for each level. The energies given in these files are normailzed by mpi and are in the center-of-momentum frame.&nbsp;<br> &nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo28/100

UFO model for NLO predictions in supersymmetric QCD

<p>NLO Predictions in suspersymmetric QCD</p>

opencc-zeroAug 2022View details →
zenodo28/100

UFO model for Vector-like Quarks at NLO QCD with five flavor scheme (third generation)

<p>Vector-like Quark UFO Model at NLO QCD with five flavour scheme (3rd generation only)</p>

opencc-zeroAug 2022View details →
zenodo28/100

UFO model for Vector-like Quarks at NLO QCD with four flavor scheme (third generation)

<p>Vector-like Quark UFO Model at NLO QCD with four flavour scheme (3rd generation only)</p>

opencc-zeroAug 2022View details →
zenodo24/100

UFO model for Vector-like Quarks at NLO QCD with four flavor scheme

<p>Vector-like Quark UFO Model at NLO QCD with four flavour scheme</p>

opencc-zeroAug 2022View details →
zenodo12/100

QCD and EW corrections for V+jets DM backgrounds

<p>NNLO QCD + NNLO EW predictions for V+jet, i.e.<br> pp-&gt;Z(-&gt;vv~)+jet,<br> pp-&gt;Z(-&gt;l+l-)+jet, <br> pp-&gt;W(-&gt;l-v~)+jet,<br> pp-&gt;W(-&gt;l+v)+jet, <br> pp-&gt;A+jet,<br> including uncertainty and correlation estimates. </p>

restrictedFeb 2017View 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