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35 results for “sampling event”

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zenodo36/100

EW Higgs + jets event samples at leading order QCD at 14 TeV

<p>EW Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p>

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

Z/γ + jets event samples at next-to-leading order QCD at 14 TeV

<p>Z/&gamma; plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14~{\rm TeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\left(m_{\perp,Z}+\sum_{jets}p_{\perp,j}\right)\)</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 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 →
dryad36/100

Data from: assessing the suitability of a one-time sampling event for close-kin mark-recapture: a caribou case study

Open the record for dataset details and reuse information.

publicSep 2024View details →
dryad36/100

Data from: Improved transcriptome sampling pinpoints 26 ancient and more recent polyploidy events in Caryophyllales, including two allopolyploidy events

Open the record for dataset details and reuse information.

publicAug 2018View details →
zenodo32/100

Neutral-current DIS event samples generated with MadGraph5 at leading order with $E_e = 27.5$ GeV, $E_p = 820$ GeV, and $\mu^2_\mathrm{F} = \mu^2_\mathrm{R} = Q^2$

<p>Neutral-current deep inelastic scattering event samples at leading order, generated with MadGraph5 version 3.5.5 and saved in the Les Houches Event File format as a tarball. Beam energies of 27.5 GeV for the electron, 820 GeV for the proton. Renormalization and factorization scales (squared) set to photon virtuality $Q^2$. All cuts and parameter values are specified in the header of the event files.&nbsp;</p>

opencc-by-4.0Oct 2024View details →
ClinicalTrials.gov32/100

Sample Size for Multivariate Time-to-event Data

ClinicalTrials.gov study NCT03964402. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
zenodo28/100

COMSOL - Modeling of a groundwater sampling event in a monitoring well incorporates the coupled effects of well storage and wellbore mixing.

<p>This is a coupled multiphysics flow and transport model that accounts for laminar flow and solute transport within the wellbore, and Darcy flow in the aquifer to investigate groundwater sampling events. The numerical model was developed and constructed in COMSOL Multiphysics&reg; 6.0, a commercial finite element analysis and solver software. See <a href="https://www.comsol.com/">https://www.comsol.com/</a>. Simulation data is provided for homogenous and heterogenous aquifer conditions.&nbsp;&nbsp;</p>

opencc-by-4.0Apr 2024View details →
geo24/100

Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence (SNP)

GEO Series GSE101110. Homo sapiens. 46 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.

openGEO-OpenOct 2017View details →
geo24/100

Ribo-ITP coupled ribosome profiling identifies non-canonical translational events in low input samples

GEO Series GSE318608. Mus musculus. 4 samples. Type: Other.

openGEO-OpenFeb 2026View details →
geo20/100

Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence

GEO Series GSE101114. Homo sapiens. 102 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array; Expression profiling by array.

openGEO-OpenOct 2017View details →
geo20/100

Detailed Longitudinal Sampling of Glioma Stem Cells In Situ Reveals Chr7 Gain and Chr10 Loss As Repeated Events in Primary Tumor Formation and Recurrence (expression)

GEO Series GSE101113. Homo sapiens. 56 samples. Type: Expression profiling by array.

openGEO-OpenOct 2017View details →
geo16/100

Ribo-ITP coupled ribosome profiling identifies non-canonical translational events in low input samples

GEO Series GSE300832. Mus musculus. 6 samples. Type: Other.

openGEO-OpenAug 2025View details →
geo12/100

Ribo-ITP coupled ribosome profiling identifies non-canonical translational events in low input samples [Ribo-seq]

GEO Series GSE300869. Mus musculus. 27 samples. Type: Other.

openGEO-OpenAug 2025View details →

ScienceDex guides

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

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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