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.

1,890

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1,890 results for “Defects”

Learn how ShareScore rates datasets ↗
zenodo32/100

Uncovering Stress Fields and Defects Distributions in Graphene Using Deep Neural Networks

<p>The trained neural networks, complete data set, and MATLAB script used to generate molecular dynamics simulation files are available here.</p>

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

Dataset for the Paper: "Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities"

<p>This is the dataset&nbsp;for the paper: &quot;Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities &quot;, including the extracted&nbsp;data and results.</p> <p>The dataset&nbsp;contains the following three folders:</p> <p><strong>1. RQ1</strong>:&nbsp;</p> <ul> <li><strong>Security defect in Nova.xlsx</strong></li> <li><strong>Security defect in Neutron.xlsx</strong></li> <li><strong>Security defect in Qt Base.xlsx</strong></li> <li><strong>Security defect in Qt Creator.xlsx;</strong></li> </ul> <p>The RQ1 folder contains four files corresponding to the four projects (i.e., Nova and Neutron from OpenStack, Qt Base and Qt Creator from Qt), including 539 security-related review comments, in which security defects were identified by the reviewers. These instances were obtained from manual labelling after keyword-based search. The security defect type of these&nbsp;instances are&nbsp; presented to answer RQ1.</p> <p><strong>How to Read the MS Excel&nbsp;files in RQ1:</strong></p> <p>Each of the four MS Excel files in this folder contains 6 sheets for six years from 2017 to 2022. Each sheet has 10 columns for recoding 10 data items, among which the last four data items are used in our study to answer the RQs. We list the data items in the following table.</p> <table> <tbody> <tr> <td><strong>Data Item</strong></td> <td><strong>Description</strong></td> <td><strong>Source</strong></td> </tr> <tr> <td>Keyword</td> <td>The corresponding keyword of the comment.</td> <td>Keyword-based Search</td> </tr> <tr> <td>Code_change_id</td> <td>The code_change_id of the comment.</td> <td>Gerrit</td> </tr> <tr> <td>File</td> <td>The file in which the comment is added.</td> <td>Gerrit</td> </tr> <tr> <td>Patchset</td> <td>The patchset of the comment within the code change.</td> <td>Gerrit</td> </tr> <tr> <td>Line</td> <td>The line number in the file at which the comment is added.</td> <td>Gerrit</td> </tr> <tr> <td>Message</td> <td>The text of the review comment.</td> <td>Gerrit</td> </tr> <tr> <td>Security-related</td> <td>Whether the review comment is security-related (i.e., Yes or No).</td> <td>Labelling</td> </tr> <tr> <td>Security defect type</td> <td>The type of the security defect identified in the comment.</td> <td>Labelling</td> </tr> <tr> <td>Consequence</td> <td>The Consequence of the security defect.</td> <td>Extraction</td> </tr> <tr> <td>Resolution Evidence</td> <td>The information about where the identified security defect was resolved in the code</td> <td>Extraction</td> </tr> </tbody> </table> <p><strong>2. RQ2</strong>:&nbsp;</p> <ul> <li><strong>Extracted data for RQ2.mx22</strong></li> </ul> <p>The RQ2 folder contains the extracted data of 539 security-related review comments in&nbsp;<strong>Extracted data for RQ2.mx22</strong>, which was encoded and&nbsp;analyzed&nbsp;by the MAXQDA tool, investigating&nbsp;the treatment of security defects by developers and reviewers&nbsp;to answer RQ2.</p> <p><strong>3. RQ3</strong>:&nbsp;</p> <ul> <li><strong>Extracted data for RQ3.mx22</strong></li> </ul> <p>The RQ3 folder contains the extracted data of 161 review comments in which identified security defects were not resolved by developers in <strong>Extracted data for RQ3.mx22</strong>. which was also encoded and analyzed by the MAXQDA tool, exploring the causes of not resolving security defects to answer RQ3.</p> <p><strong>Note</strong>: The mx22 can be opened by MAXQDA 22, which are available at&nbsp;<a href="https://www.maxqda.com/">https://www.maxqda.com/</a> for download. You may also use the free trial version of MAXQDA 2022, which is available at <a href="https://www.maxqda.com/trial">https://www.maxqda.com/trial</a> for download.</p>

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

Data and code for "Migration and division in cell monolayers on substrates with topological defects"

<p>Raw data for experiment (experiment.zip) and basic simulation code (simulation.zip) for the paper &quot;Migration and division in cell monolayers on substrates with topological defects&quot;</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

RNA seq data for mouse tibia defect

<p>&nbsp;Mechanical stimulation promotes periostin in macrophages via transforming growth factor-&beta; (TGF-&beta;) and phosphorylating Smad2/3, while inducing M2 polarization.</p>

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

PBF-LB/M Ti6Al4V micrographs and labeled manufacturing defects

<p><strong>Desciption:</strong></p> <p>This dataset contains 775 micrographs of laser additive manufactured Ti6Al4V. Further the dataset contains 1200 labeled binary images of defects classified in lack of fusion (400), keyhole (400) and process pores (400). Additional local extracted features are added as csv File.</p> <p>To all of the 757 micrographs are the process parameter combinations included, also for those which couldn&acute;t be built.</p> <p>The process parameters were created randomly and equally distributed in between limits. The layer thicknesses included are 25 &micro;m, 50 &micro;m, 75 &micro;m and 100 &micro;m. Further the laser power, the hatch distance and the scan speed were changed. The build platform temperature was set to 200 &deg;C.</p> <p>All specimens were printed an a SLM 125 HL by SLM Solutions with CL 41 Ti ELI powder by Concept Laser.</p> <p>&nbsp;</p> <p><strong>Author Contributions: </strong>Conceptualisation S.M., M.L.A., L.M., A.T.; methodology for (randomised) test series: M.L.A., L.M., S.M.; data creation, printing and imaging: L.M., S.M., T.B.; defect data labeling: M.L.A., T.B.; defect feature extraction: M.L.A.; supervision: A.T.; funding acqusition : A.T.</p> <p><strong>Funding: </strong>This work is funded by the University of Bremen Research Alliance (UBRA) AI Center for Healthcare within the project ENABLE.</p>

opencc-by-4.0Aug 2023View details →
dryad32/100

Data for: Defective kernel 66 encodes a GTPase essential for kernel development in maize

<p><span>Mitochondria is a semi-autonomous organelle that provides energy for cell activities through oxidative phosphorylation. In this study, we identified a defective kernel 66 (<em>dek66</em>)-mutant maize with defective kernels. We characterized the candidate gene <em>DEK66</em>, encoding a ribosomal assembly factor, located in mitochondria, and possessing GTPase activity (the GTPase belonged to ribosome biogenesis GTPase A family). In the <em>dek66</em> mutant, abolishment of mitochondrial structure and function led to the accumulation of reactive oxygen species and promoted programmed cell death in endosperm cells. Furthermore, transcript levels of most of the key genes associated with nutrient storage, mitochondrial respiratory chain complex, and mitochondrial ribosomes in the <em>dek66</em> mutant were significantly altered. Collectively, the results suggested that <em>DEK66</em> is essential for the development of maize kernels via affecting mitochondrial function.</span> <span>This study provided a reference to understand the impact of</span><span> mitochondrial ribosomal assembly factors in maize kernel development.</span></p>

opencc-zeroSep 2023View details →
zenodo32/100

Data and Code for [Localization of Mechanical and Electrical Defects in Dry-Type Transformers Using an Optimized Acoustic Imaging Approach]

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov32/100

Efficacy and Safety Study of Nexagon for Persistent Corneal Epithelial Defects

ClinicalTrials.gov study NCT01165450. IPD Sharing: Not stated. Countries: 0. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

EPI-743 in Cobalamin C Defect: Effects on Visual and Neurological Impairment

ClinicalTrials.gov study NCT01793090. IPD Sharing: Not stated. Countries: 1. Publications: 7.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Cesarean Scar Defect Formation After First Cesarean Section.

ClinicalTrials.gov study NCT03966001. IPD Sharing: YES. Countries: 1. Publications: 5.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Detection and Characterization of Host Defense Defects

ClinicalTrials.gov study NCT00001355. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Medial Tab Flap for Soft Tissue Defects of the Leg

ClinicalTrials.gov study NCT05864963. IPD Sharing: NO. Countries: 1. Publications: 16.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Pharmacokinetics of Tranexamic Acid (TXA) in Children Undergoing Repair of Congenital Heart Defects Utilizing Cardiopulmonary Bypass

ClinicalTrials.gov study NCT01045356. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Study of Unsutured Versus Sutured Closure of Rectal Defects After Rectal Lesion Excisions Using Transanal Endoscopic Microsurgery

ClinicalTrials.gov study NCT01465945. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Advanced Surgical Simulation Processes in the Correction of Skeletal Defects and Deformities

ClinicalTrials.gov study NCT06380530. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Mesenchymal Stem Cells in a Clinical Trial to Heal Articular Cartilage Defects

ClinicalTrials.gov study NCT00885729. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

High Vs. Low Segmental Hysterotomy: Impact on Uterine Wall Defects Post-Cesarean

ClinicalTrials.gov study NCT06620432. IPD Sharing: NO. Countries: 1. Publications: 33.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Resolution of Primary Immune Defect in 22q11.2 Deletion Syndrome

ClinicalTrials.gov study NCT02460328. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effectiveness of Micro Connective Tissue Graft for Treatment of Multiple Adjacent Gingival Recession Defects

ClinicalTrials.gov study NCT06030947. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Minimally-invasive Non-surgical Therapy of Intrabony Defects

ClinicalTrials.gov study NCT03741374. IPD Sharing: Not stated. Countries: 4. Publications: 12.

restrictedIPD-UNDECIDEDFeb 2026View 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