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.
8,537
datasets available to search
ShareScore release 0.9.0
Dataset results
8,537 results for “Openness”
VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets
<p><strong>List of files:</strong></p> <ul> <li>odps.json: for each of the accessed ODPs, its name, URL, API type, API URL, and the IDs of RDF datasets collected from it <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'name' (string), 'URL' (string), 'API type' (string), 'API URL' (string), and 'collected datasets IDs' (list of integers)</p> </li> </ul> </li> <li>datasets.json: for each of the crawled RDF datasets, its ID, title, description, author, license, dump file URLs, and PLDs <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'ID' (integer), 'title' (string), 'description' (string), 'author' (string), 'license' (string), 'dump file URLs' (list of strings), and 'PLDs' (list of strings)</p> </li> </ul> </li> <li>deduplicated_datasets.json: the IDs of the deduplicated RDF datasets and whether they are in the LOD Cloud <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'ID' (integer) and 'in LOD Cloud' (boolean)</p> </li> </ul> </li> <li>terms.json: the extracted classes, properties, and the IDs of RDF datasets using each term <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'term' (string), 'is class' (boolean), 'is property' (boolean), and 'used in dataset IDs' (list of integers)</p> </li> </ul> </li> <li>vocabularies.json: the extracted vocabularies, the classes and properties in each vocabulary, and the IDs of RDF datasets using each vocabulary <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'vocabulary' (string), 'classes' (list of strings), 'properties' (list of strings), and 'used in dataset IDs' (list of integers).</p> </li> </ul> </li> <li>edps.json: the extracted distinct EDPs and the IDs of RDF datasets using each EDP <ul> <li> <p>JSON structure: a list of objects, where each object contains the following attributes - 'classes' (list of strings), 'forward properties' (list of strings), 'backward properties' (list of strings), and 'used in dataset IDs' (list of integers)</p> </li> </ul> </li> <li>clusters.json: the clusters of vocabularies generated by MV-ITCC and LDA <ul> <li> <p>JSON structure: {"LDA": {"vocabularies": {VOCABULARY_CLUSTER_ID_1: [LIST_OF_VOCABULARIES], VOCABULARY_CLUSTER_ID_2: [LIST_OF_VOCABULARIES], ...}}, "MV-ITCC": {"vocabularies": {VOCABULARY_CLUSTER_ID_1: [LIST_OF_VOCABULARIES], VOCABULARY_CLUSTER_ID_2: [LIST_OF_VOCABULARIES], ...}, "dataset IDs": {DATASET_CLUSTER_ID_1: [LIST_OF_DATASET_IDS], DATASET_CLUSTER_ID_2: [LIST_OF_DATASET_IDS], ...}}}</p> </li> </ul> </li> </ul>
[Tool demo] Prospector: a Tool to Find Fixes to Known Vulnerabilities of Open-Source Projects
<p> </p> <p><strong>>>>> TOOL DEMO SCREENCAST</strong>: please download file <strong><a href="https://zenodo.org/record/7974442/files/tool_demo_final.mp4?download=1">tool_demo_final.mp4</a></strong>. <strong><<<<</strong></p> <p> </p> <p><strong>ABSTRACT</strong>: Though vulnerability databases are key for monitoring known vulnerabilities in open-source projects, they rarely contain information about the code changes that fix the flaws they describe. Finding them is time-consuming and error-prone as it involves the analysis of multiple, unstructured resources. </p> <p>In this paper we present \prospector, a tool that supports mapping<br> vulnerability advisories from vulnerability databases onto the corresponding fix in the source code. \prospector employs a set of heuristics that mimics and automates the<br> strategies that would be employed by human security experts.</p> <p>Given an advisory expressed in natural language, \prospector processes the commits found in the target source code repository, ranks them based on a set of predefined rules, and produces a report that the user can inspect to<br> determine which commits to retain as the actual fix.<br> The tool is publicly available and is released under the Apache 2.0 license.</p>
QAnubis - open source coding tool
<p>QAnubis - open source coding tool</p> <p>The main activity of qualitative research is data analysis, which involves a process of collecting and analyzing narrative data, including texts, photos, audiovisual elements, and various digital file formats. Different approaches and methodologies are available for qualitative data investigation, with a greater emphasis on coding, where artifacts and their contents are categorized under a finite set of categories. Similar to other fields, efforts are made to develop and enhance computerized tools known as Computer-Assisted Qualitative Data Analysis Software (CAQDAS) that aim to increase the efficiency and effectiveness of the analysis process by providing means to assist in data identification, organization, interpretation, exploration, and integration.</p> <p>To contribute to the field of qualitative analysis, this work presents an open-source web tool called QAnubis for performing coding on PDF files while preserving their original content and formatting.</p>
miRNAs in primary open-angle glaucoma and ocular hypertension
<p>Glaucoma is a chronic neurodegenerative disease, which is the leading cause of irreversible blindness worldwide. As a response to high intraocular pressure, the clinical and molecular glaucoma biomarkers indicate the biological state of the visual system. Classical and uncovering novel biomarkers of glaucoma development and progression, follow-up, and monitoring the response to treatment are key objectives to improve vision outcomes. While the glaucoma imaging field has successfully validated biomarkers of disease progression, there is still a considerable need for developing new biomarkers of early glaucoma, that is, at the preclinical and initial glaucoma stages. Outstanding clinical trials and animal-model study designs, innovative technology, and analytical approaches in bioinformatics are essential tools to successfully uncover novel glaucoma biomarkers with a high potential for translation into clinical practice. To better understand the clinical and biochemical–molecular–genetic glaucoma pathogenesis, we conducted an analytical, observational, and case-comparative/control study in 358 primary open-angle glaucoma (POAG) patients and 226 comparative-control individuals to collect tears, aqueous humor, and blood to process for identifying POAG biomarkers by exploring several biological pathways, such as inflammation, neurotransmitter/neurotrophin alteration, oxidative stress, gene expression, miRNAs fingerprint and its biological targets, and vascular endothelial dysfunction. We are incredibly enthusiastic about gathering as much information as possible on POAG biomarkers to learn how this information can be used to better steer the diagnosis and therapy of glaucoma to prevent blindness in the predictable future.</p>
Opening the Future... in 60 seconds
<p>An animated video explaining the <a href="https://www.openingthefuture.net/"><em>Opening the Future</em></a> collective funding model for OA monographs</p>
Hyperfine interactions in open-shell planar sp2-carbon nanostructures
<p>ORCA data files for the publication:</p> <p>S. Sengupta, T. Frederiksen, and G. Giedke<br><em>Hyperfine interactions in open-shell planar sp2-carbon nanostructures</em><br><a href="https://link.aps.org/doi/10.1103/PhysRevB.107.224433" target="_blank" rel="noopener">Phys. Rev. B <strong>107</strong>, 224433 (2023)</a> [arXiv:2303.11422]</p> <p>We investigate hyperfine interaction (HFI) using density-functional theory for several open-shell planar sp2-carbon nanostructures displaying π magnetism. Our prototype structures include both benzenoid ([n]triangulenes and a graphene nanoribbon) as well as nonbenzenoid (indene, fluorene, and indene[2,1-b]fluorene) molecules. Our results obtained with orca indicate that isotropic Fermi contact and anisotropic dipolar terms contribute in comparable strength, rendering the HFI markedly anisotropic. We find that the magnitude of HFI in these molecules can reach more than 100 MHz, thereby opening up the possibility of experimental detection via methods such as electron spin resonance-scanning tunneling microscopy (ESR-STM). Using these results, we obtain empirical models based on π-spin polarizations at carbon sites. These are defined by generic sp2 HFI fit parameters which are derived by matching the computed HFI couplings to π-spin polarizations computed with methods such as Orca, Siesta, or mean-field Hubbard (MFH) models. This approach successfully describes the Fermi contact and dipolar contributions for 13C and 1H nuclei. These fit parameters allow to obtain hyperfine tensors for large systems where existing methodology is not suitable or computationally too expensive. As an example, we show how HFI scales with system size in [n]triangulenes for large n using MFH. We also discuss some implications of HFI for electron-spin decoherence and for coherent nuclear dynamics.</p>
1. Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.
<p>Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.</p> <p>Data supporting manuscript entitled “Archaeomagnetic studies of bricks from ancient buildings sampled in SE Poland (Central Europe)” by J. Nawrocki, K. Standzikowski, M. Chadima, T. Werner, M. Łanczont, J. Gancarski, Z. Gil submitted to Journal of Archaeological Science: Reports (JASREP-D-23-00078).</p>
Ptatin2D : dataset for run simulations presented in the article Slab pull driven South China Sea opening implies a Mesozoic Proto South China Sea
<p>Overview of pTatin2D</p> <p>pTatin2D is a software package designed for studying long time-scale processes relevant to geodynamics. The original motivation for this development was to provide the community with an open-source toolkit capable of studying high-resolution, two-dimensional models of lithospheric deformation.</p> <p>Functionality</p> <ul> <li>mixed finite elements (Q2-P1_disc) for the Stokes problem</li> <li>material points for tracking Lagrangian state and history variables</li> <li>energy equation solved with Q1 elements + SUPG</li> <li>ALE formulations (with a variety of remeshing solutions)</li> <li>extensible rheology components (currently supports: iso-viscous, Frank-Kamenetskii, Arrhenius, power-law, von Mises, Drucker Prager)</li> <li>full support for spatio-temporal Dirichlet and non-zero Neumann boundary conditions</li> <li>coupling with landscape evolution models</li> <li>full support for Newton and Picard non-linear solvers</li> <li>massively parallel implementation</li> </ul> <p>pTatin2D leverages functionality from <a href="http://www.mcs.anl.gov/petsc">PETSc</a></p> <p>Requirements</p> <ul> <li>PETSc (only support for version 3.2)</li> </ul>
Open Dataset: Leaving the Academy
<p>Public Dataset for Open Post Academics’ Leaving the Academy project. </p> <p>In 2022 and 2023, Open Post Academics conducted a survey-based research project on the experiences of people who have left academia. Our survey had a total of 209 responses. </p> <p>For more information about this project and our insights, see our <strong>white paper available here</strong>: https://zenodo.org/record/8014703</p> <p>This cleaned dataset and the accompanying white paper are released under a CC BY 4.0 2023 attribution license. The materials will remain available to anyone who wishes to do more with it. This will allow for researchers to extend and build on this work. It will also respond to the need for open qualitative datasets.</p> <p>In the public dataset we have omitted the entire response for any respondent who shared specific personal information even if they consented to the use of their data. </p> <p>This means that the public dataset has an n=190. </p> <p>We have also omitted several questions that would indicate specific individuals more readily including specific discipline, indications of the dimensions of underrepresentation, and what the respondent does now. </p> <p>We encourage anyone wishing to look at the full dataset to contact the lead authors, Beth M. Duckles and Borhane Blili-Hamelin.</p>
Higgs to 4 Leptons with CMS Open data from the Large Hadron Collider
<p>Dataset for MIT 8.S50 online class details to process it can be found here: <br> https://github.com/mit-physics-data/psets/tree/main/pset2 </p>
MSFragger open searches of proteome shotgun and phosphoproteomic runs PXD013868 (Mergner et al., 2020)
<p>MSFragger open searches of phosphoproteomics and shotgun proteome runs of large-scale tissue atlas in Arabidopis (Mergner et al., 2020). Part of the Plant PTM Viewer 2.0 update paper.</p>
2022 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the <a href="https://lpnu.ua/en/optima">OPTIMA project</a> from Nov 07 – Dec 04, 2022. An identical survey was <a href="https://doi.org/10.5281/zenodo.8067080">conducted in 2021</a> and a consecutive survey is planned for 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2022:</strong></p> <ul> <li>National Survey - 7727</li> <li>Lviv Polytechnic National University - 1349</li> <li>Sumy State University - 306</li> <li>Vasyl Stus Donetsk National University - 225</li> <li>Lutsk National Technical University - 101</li> </ul>
2021 Results of Complex Academic Integrity and Open Science Surveys of OPTIMA Project
<p>We publish the list of questions and results (datasets) of the complex survey conducted at the National level in Ukraine and within the Ukrainian partner universities of the Erasmus+ <a href="https://lpnu.ua/en/optima">OPTIMA project</a> (618940-EPP-1-2020-1-UA-EPPKA2-CBHE-JP) during December 13-30, 2021. Two consecutive surveys will be conducted in 2022 and 2023.</p> <p>The aim of the survey is to study the attitude of Ukrainian students and the academic community toward the values of academic integrity and open scientific practices, as well as to identify typical examples of dishonest behavior in Ukrainian higher education institutions. Participation in the survey was voluntary and anonymous, and its results (collected data and their analysis) will be published in open access. Ethical approval for the survey was waived by the Ethics Committee of the Lviv Polytechnic National University Academic Board. This waiver of approval was provided due to non-sensitive data obtained from the survey respondents. </p> <p><strong>Number of participants in the complex survey in 2021:</strong></p> <ul> <li>National Survey - 7987</li> <li>Lviv Polytechnic National University - 754</li> <li>Sumy State University - 257</li> <li>Vasyl Stus Donetsk National University - 125</li> <li>Lutsk National Technical University - 80</li> </ul>
Associated data underlying the article "Assessment of the Croatian Open Data Portal Using User-Oriented Metrics"
<p>Associated data underlying the article </p> <p>Miletić, A.; Kuveždić Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics. <em>ISPRS Int. J. Geo-Inf.</em> <strong>2023</strong>, <em>12</em>, 185. <a href="https://doi.org/10.3390/ijgi12050185">https://doi.org/10.3390/ijgi12050185</a></p> <p>Article Abstract:<br> Open data portals are web services that serve as a central access point for all government-published open data and can exist at local, regional, national, and international levels. They are an important element of most open data initiatives that have enabled a large amount of government data to be widely available. However, data quantity and quality are not the only aspects that should be considered when publishing data. To improve the reusability of data and to achieve greater impact and benefits from open data, it is important to consider user-oriented aspects of the portal management, discovery, and use of data (e.g., organizing the portal in a user-centric way, providing accurate metadata, using a standardized and open data format, etc.). In this paper, we adopted the metrics proposed by the European Commission to assess compliance of the Croatian Open Data Portal with 10 user-oriented principles that open data portals should implement in terms of sustainability and added value. While the results show the government’s efforts in publishing data, some aspects such as better collaboration with data providers and other data portals, offering different visualization tools, etc. need to be improved to achieve active use and impact.</p> <p>Keywords: open data; open data portal; assessment; user experience; data reuse</p>
Supplementary material for "A Rapid, Open-Source CCT Predictor for Low Alloy Steels, and its Application to Compositionally Heterogeneous Material"
<p>The complete collection of measured, modelled and analysed data associated with the work "A Rapid, Open-Source CCT Predictor for Low Alloy Steels, and its Application to Compositionally Heterogeneous Material" and includes:</p> <ol> <li>Measured and analysed dilatometry data.</li> <li>Optical micrographs of as-cooled microstructures.</li> <li>Microhardness measurements of the as-cooled samples.</li> <li>PAG size analysis.</li> <li>Modelled CCT data.</li> <li>SA-540 EPMA data.</li> <li>Modelled results from adapting the model to consider SA-540 chemical heterogeneity.</li> <li>Full chemical analysis for each alloy examined.</li> <li>Modelled Thermo-Calc CCT data.</li> <li>Modelled JMatPro CCT data.</li> </ol>
Results for plan4EU runs in Case STudy 4 of the Open ENTRANCE project
<p>This dataset contains scenarios results for Case Study 4 of the openENTRANCE project.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information.</p>
Datasets from: A Worldwide View of Nation-state Internet Censorship, Free and Open Communications on the Internet (FOCI), 2023
<p>These data were used to perform the cross-sectional study, systematic literature review, and analysis presented in the research framework from the paper, A Worldwide View of Nation-state Internet Censorship - presented at the FOCI workshop as part of the 23rd Privacy Enhancing Technologies Symposium in Lausanne, Switzerland.</p>
[DATASET] Supporting Open Science Hardware in Academia: Policy Recommendations for Science Funders and University Managers
<p>Raw data from a real-time Delphi exercise used to write the policy brief: <a href="https://zenodo.org/record/8030029">Supporting Open Science Hardware in Academia: Policy Recommendations for Science Funders and University Managers</a></p> <p>Access to the Real-Time Delphi platform was kindly provided by <a href="https://4strat.de">4strat</a>. See tab "meta - start here" for description of the dataset.</p>
Tetrafluorenofulvalene as a Sterically Frustrated Open-Shell Alkene
<ul> <li>Cartesian coordinates of calculated structures</li> <li>Source data for Fig. 4 and Supplementary Fig. 12, 16–18, and 21</li> </ul>
Open Data for publication: Engineering ligand chemistry on Au25 nanocluster: From unique ligand addition to precisely controllable ligand exchange
<p>Open Data for publication: <strong>Engineering ligand chemistry on Au<sub>25</sub> nanocluster: From unique ligand addition to precisely controllable ligand exchange</strong><br> Published in Chemical Science, 2023</p> <p>Authors: Jiangtao Zhao, Abolfazl Ziarati, Arnulf Rosspeintner, Yanan Wang and Thomas Bürgi</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.