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.

3,655

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3,655 results for “Structural data”

Learn how ShareScore rates datasets ↗
zenodo32/100

Supporting Data for the Manuscript "Anionic Disorder and its Impact on the Surface Electronic Structure of Oxynitride Photoactive Semiconductors"

<p>This data repository provides additional data for the manuscript "Anionic disorder and its impact on the surface electronic structure of oxynitride photoactive<br>semiconductors". The data sets comprise the PES raw data files in *.h5 format, the results from RBS/ERDA measurements, and quantification of the surface N:O ratios using TEM in EDX mode.</p> <ul> <li>"BT8c" labels the BTON sample before PEC.</li> <li>"BT8a" labels the BTON sample after PEC.</li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Supporting data for "Reengineering of a Carotenoid-binding Protein Based on NMR Structure"

<p>List of PDB codes used for MPNN benchmarking, parameters for AXT simulations, molecular dynamics trajectories and domain swapping predictions.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Replication Package: Anomaly detection via runtime monitoring data for structural equation modeling

<p>This replication package contains the following information:</p> <ul> <li><strong>Data extraction from literature &amp; interviews: </strong><em>Generation Structural &amp; Measurement Model via literature and interviews.xlsx</em> - here you can find the mapping of the extracted phrases to inductively summarise information regarding the structural and measurement models.</li> <li><strong>Dataset</strong> of runtime monitoring data extracted from TrainTicket via EvoMaster:&nbsp;<br> <ul> <li><em>TrainTicket faults classification.xlxs:</em> Describes the datasets and their faults, in which microservice the fault is injected for better explainability of the obtained results</li> <li><em>IndicatorDescriptionbasedonAnomalyDetectionToolsInterviews.xlsx:</em> description and mapping of selected indicators to the defined parameters from <a href="https://arxiv.org/abs/2408.07816" target="_blank" rel="noopener">previous work&nbsp;</a></li> <li>Unfortunately, the size of the datasets generated via EvoMaster and their injected faults are too big to upload here, thus, they will be available here: <a href="https://uibkacat-my.sharepoint.com/:f:/g/personal/monika_steidl_uibk_ac_at/EjLMt8SYWwtJtp2YuSaqavcBKJoCQ3b5H_l_OY0ifbVRCA?e=fatKyD" target="_blank" rel="noopener">Datasets with injected anomalies</a><br> <ul> <li>the error description can be found <a href="https://github.com/FudanSELab/train-ticket/wiki/Fault-Description" target="_blank" rel="noopener">here</a></li> <li>the datasets are named ts-error-<em>indicatorOfError</em>-reset.zip because the databases are getting reset so that no anomalies are introduced with wrong database entries</li> </ul> </li> </ul> </li> <li><strong>Code</strong> for handling and transforming data to extract indicators describing the whole system's and microservices' behavior from the collected runtime monitoring data collected from TrainTicket:<br> <ul> <li><a href="https://github.com/moniSt13/ConTest-Parsing" target="_blank" rel="noopener">link to the Github repository</a></li> </ul> </li> <li><strong>reports</strong> regarding the established PLS-SEM model using previously handled and transformed runtime monitoring data. Please be aware that opening the reports can leas to out of memory due to their size: <ul> <li><em>Assessment of Measurement Model: MeasurementModel_TrainTicket_erorcleaned.zip &amp; MeasurementModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip</em>&nbsp;</li> <li><em>Assessment of Structural Model:&nbsp;StructuralModel_TrainTicket_errorcleaned.zip &amp; StructuralModel_Bootstrap_ALL_TrainTicket_errorcleaned.zip</em></li> </ul> </li> </ul> <p><br><br>---------------------------------------</p> <p><em>Future work </em>not elaborated in the associated paper due to space restrictions:</p> <ul> <li><strong>reports regarding F5 error</strong>: PLS-SEM model results without interpretation and further mediating effects between microservices included: F5_error.zip</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data, Part 2

<p>Raw and processed MRI data of the study entiled: T1234-Part 2</p> <p>Authors:&nbsp; Chung (Kenny) Kan1, R&uuml;diger Stirnberg2, Marcela Montequin1, Omer Faruk Gulban3,4, A Tyler Morgan1, Peter Bandettini1, Laurentius (Renzo) Huber1</p> <ol> <li>NIMH, NIH, Bethesda, United States,</li> <li>German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,</li> <li>CN, FPN, University of Maastricht, The Netherlands,</li> <li>Brain Innovation, Maastricht, The Netherlands</li> </ol> <p><strong>Purpose</strong>: High-resolution fMRI at 7T is limited by limited registration quality between functional data with structural scans. We aim to provide a fast acquisition method that provides distortion-matched, artifact mitigated structural reference data.</p> <p><strong>Methods</strong>: We developed an efficient sequence approach with adjustable distortions, termed T1234: T1-weighted 2-inversion 3D-EPI with 4 directions for high-resolution fMRI. A forward Bloch model is implemented for T1 quantification and protocol optimization. 20 participants were scanned on 7T with structural and functional protocols to evaluate the utility of T1234.</p> <p><strong>Results</strong>: We find that a fast protocol provides reliable data for whole-brain segmentations in EPI-space&nbsp; in 3:00-3:40 min). It is robust across sessions, participants, and three 7T SIEMENS scanners. T1234 allows layer fMRI signal analysis with higher laminar precision.</p> <p><strong>Conclusion:&nbsp;</strong>This structural mapping approach allows precise registration with fMRI data. T1234 is implemented, validated, and tested to serve users of our sequence (locally and &gt;50 centers worldwide).&nbsp;</p> <p>Part 1 of the data set is here: https://zenodo.org/doi/10.5281/zenodo.13366783</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Data for Advances in Quantum Metrology with Dielectrically Structured Single Photon Sources Based on Molecules

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Data table 3 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Data for "Investigating temporary capture in the Sun-Jupiter three-body system via Lagrangian coherent structures"

<p>The supplementary online materials for the paper "Investigating temporary capture in the Sun-Jupiter three-body system via Lagrangian coherent structures" consist of two parts.</p> <h3>Part 1: Coordinates of the LCS Surfaces in Figure 8</h3> <p>This part contains the coordinates of the local maxima of FTLE (Finite-Time Lyapunov Exponent) values that compose the Lagrangian Coherent Structures (LCS) surface presented in Figure 8 of the paper. These coordinates are crucial for understanding the formation and characteristics of the LCS in the three-body system.</p> <h3>Part 2: Orbital States of Asteroid 2002 GV28 Based on the High-Fidelity Ephemeris Model from Section 2.2 of the Paper</h3> <p>This part includes the orbital states of asteroid 2002 GV28, propagated using a high-fidelity ephemeris model as described in Section 2.2 of the paper. The data provides information on the asteroid's state in two different coordinate systems:</p> <ol> <li> <p><strong>Heliocentric J2000.0 Ecliptic Coordinate System:</strong></p> <ul> <li>This dataset includes the position and velocity of the asteroid relative to the Sun at various time steps.</li> <li>The columns typically include: Time (Julian Date), X (km), Y (km), Z (km), Vx (km/s), Vy (km/s), Vz (km/s).</li> </ul> </li> <li> <p><strong>Sun-Jupiter Rotating Coordinate System:</strong></p> <ul> <li>This dataset provides the position and velocity of the asteroid relative to the Sun-Jupiter rotating frame.</li> <li>The columns typically include: Time (Julian Date), X (normlized), Y (normlized), Z (normlized), Vx (normlized), Vy (normlized), Vz (normlized).</li> </ul> </li> </ol> <p>Each entry in these datasets corresponds to specific time steps during the propagation, providing a comprehensive view of the asteroid's trajectory in both coordinate systems.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

FIGURE 1. STRUCTURE analysis using microsatellite data shows that Sphagnum incundum form a separate genetic group from S. subnitens and S in Sphagnum incundum a new species in Sphagnum subg. Acutifolia (Sphagnaceae) from boreal and arctic regions of North America

FIGURE 1. STRUCTURE analysis using microsatellite data shows that Sphagnum incundum form a separate genetic group from S. subnitens and S. subfulvum. Sphagnum flavicomans seems to be a mixture of the recognized genetic groups. The upper panel shows data separated in two genetic groups, the middel panel shows the data separated in three genetic groups, and the lower one show the data separated in four genetic groups.

opennotspecifiedJan 2018View details →
zenodo32/100

Simulation and empirical data for "Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations"

<p>Simulation data and empirical data used to generate figures from "Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations". Can be used with code provided on the associated github to regenerate the figures.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Supporting data for: A comparative analysis of planarian genomes reveals regulatory conservation in the face of rapid structural divergence

<p>This upload contains genome assemblies and annotation files for four planarian species.&nbsp;</p> <h2>Genome assemblies</h2> <p>The genome assemblies are deposited as FASTA files with the ending '.fa.gz'.</p> <h2>Genome annotations</h2> <p>The genome annotations are deposited as gff3 files and contain the 'ENCODE' keyword.</p> <p>Integration into Wormbase are currently ongoing to provide userfriendly access.</p> <h2>Transposable element annotation</h2> <p>Transposable element annotation performed with the EDTA pipeline are deposited as GFF3 files with the file ending '.EDTA.TEanno.gff3.gz'.</p> <h2>Satellite DNA</h2> <p>Repetitive satellite regions annotated using RepeatExplorer and SRF are deposited as GFF3 files with the ending 'satDNA.gff3'.</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Experimental data used in the article entitled "Electron Microscopy Study of Structural Defects Formed in Additively Manufactured AlSi10Mg Alloy Processed by Equal Channel Angular Pressing"

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

Coda and data for "A natural disaster exacerbates and redistributes disease risk across free-ranging macaques by altering social structure"

<p>This Zenodo repository contains the data and code for the article entitled "<strong>A natural disaster exacerbates and redistributes disease risk across free-ranging macaques by altering social structure</strong>".&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Research Data for "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts"

<p>This is the research data supporting figures and tables for the paper "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts" appearing in <em>RSC Applied Interfaces </em>under DOI <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4LF00260A">https://doi.org/10.1039/D4LF00260A</a>.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Research Data for "Electronic structure and stability of the active surface phase of NixCo3-xO4 spinel alkaline O2 evolution electrocatalysts: from an epitaxial model catalyst perspective"

<p>These datasets support main text and supplementary figures and tables of the paper "Electronic structure and stability of the active surface phase of NixCo3-xO4 spinel alkaline O2 evolution electrocatalysts: from an epitaxial model catalyst perspective" appearing in <em>ACS Applied Energy Materials </em>under DOI: <a href="https://doi.org/10.1021/acsaem.4c01688">https://doi.org/10.1021/acsaem.4c01688&nbsp;</a></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Supporting Data for "The Vertical Structure of Tropical Temperature Change in Global Storm-Resolving Model Simulations of Climate Change"

<p>Code and netcdf files of processed X-SHiELD and CMIP6 simulations to reproduce the figures of the revised submission of Timothy M. Merlis, Ilai Guendelman, Kai-Yuan Cheng, Lucas Harris, Yan-Ting Chen, Christopher S. Bretherton, Maximilien Bolot, Linjiong Zhou, Alex Kaltenbaugh, Spencer K. Clark, and Stephan Fueglistaler (2024): "The Vertical Structure of Tropical Temperature Change in Global Storm-Resolving Model Simulations of Climate Change".</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

VASP data for Structure and Stability of Copper Nanoclusters on Monolayer Tungsten Dichalcogenides

<p>VASP INCAR and CONTCAR files</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Data related to the publication "structure and transport properties of LiTFSI-based deep eutectic electrolytes from machine-learned interatomic potential simulations"

<p>Reference training and test datasets, trained ML potential models, and input scripts for the training (Allegro) and MD simulations (LAMMPS).</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

The data of the mesh used in: Pan M, Zou R, Jüttler B. Algorithms and Data Structures for Cs-smooth RMB-splines of Degree 2s+ 1. Computer Aided Geometric Design, 2024: 102389.

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo32/100

Supplementary Data for "Exploring structure-function relationships in engineered receptor performance using computational structure prediction"

<p>These data are supplementary data for the manuscript "<strong>Exploring structure-function relationships in engineered receptor performance using computational structure prediction</strong>", which has been submitted for consideration for publication. These data include protein structure predictions used in this study.</p>

opencc-by-4.0Nov 2024View 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