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.

8,537

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

8,537 results for “Openness”

Learn how ShareScore rates datasets ↗
zenodo28/100

Dataset for Predatory publishing practices in the shadow of open access models [diploma thesis]

<p>Dataset contains:&nbsp;</p> <ul> <li>a list of predatory journals with ISSNs/eISSNs&nbsp;based upon existing blacklists</li> <li>exports of OA publications from the systems OBD (Charles University personal bibliography database)&nbsp;and RIV (Register of information about research results of the Czech Republic)&nbsp;</li> <li>an analysis based on the data above</li> <li>answers gathered using a quantitative questionnaire on the title topic</li> </ul>

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

Fedora4: The Open Linked Data Platform

<p>Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P1A: Linked Open Data (LOD). Note that high quality video files for this talk were not obtainable, so some video quality problems may be noticed.</p> <p>Linked Open Data has moved from being a buzzword to a fundamental building block of modern repositories and information systems. Its explosion, taking in this domain the form of scholarly and scientific datasets, publications, annotations, cultural heritage descriptions and other repository-based content, offers unprecedented opportunity for scientific and societal advancement. It is the interconnections that integrate systems and resources, however, that turn disparate ideas into unanticipated solutions.</p> <p>The Open Repositories community largely understands the value of linked data. The trouble has been in answering the question of &ldquo;how?&rdquo; to do this together, rather than &quot;why?&quot; do it at all. In order to be effective, we need to have solid guidelines, common practices, and well specified toolsets and products. A confluence of developments has opened the door to exactly this.</p> <p>In October of 2012, the initial W3C working draft of the Linked Data Platform 1.0 (LDP) document was published[2]. In July of 2012, the demand for a next-generation Fedora platform was channeled into the Fedora 4 (F4) project, which at the time was termed Fedora Futures. The alignment of these two stars set in motion events that provided both requirements and solutions for the community.</p>

opencc-by-4.0Jun 2015View details →
zenodo28/100

Dataset - Clustering Semantic Predicates in the Open Research Knowledge Graph

<p>This dataset has been created for implementing a content-based recommender system in the context of the Open Research Knowledge Graph (ORKG). The recommender system accepts research paper&#39;s title and abstracts as input and recommends existing predicates in the ORKG semantically relevant to the given paper.</p> <p>&nbsp;</p> <p>The paper instances in the dataset are grouped by ORKG comparisons and therefore the <strong><em>data.json</em></strong> file is more comprehensive than <strong><em>training_set.json</em></strong> and <strong><em>test_set.json.</em></strong></p> <p>&nbsp;</p> <p><strong><em>data.json</em></strong></p> <p>The main JSON object consists of a list of comparisons. Each comparisons object has an ID, label, list of papers and list of predicates, whereas each paper object has ID, label, DOI, research field, research problems and abstract. Each predicate object has an ID and a label. See an example instance below.</p> <pre><code class="language-json">{ "comparisons": [ { "id": "R108331", "label": "Analysis of approaches based on required elements in way of modeling", "papers": [ { "id": "R108312", "label": "Rapid knowledge work visualization for organizations", "doi": "10.1108/13673270710762747", "research_field": { "id": "R134", "label": "Computer and Systems Architecture" }, "research_problems": [ { "id": "R108294", "label": "Enterprise engineering" } ], "abstract": "Purpose \u2013 The purpose of this contribution is to motivate a new, rapid approach to modeling knowledge work in organizational settings and to introduce a software tool that demonstrates the viability of the envisioned concept.Design/methodology/approach \u2013 Based on existing modeling structures, the KnowFlow toolset that aids knowledge analysts in rapidly conducting interviews and in conducting multi\u2010perspective analysis of organizational knowledge work is introduced.Findings \u2013 This article demonstrates how rapid knowledge work visualization can be conducted largely without human modelers by developing an interview structure that allows for self\u2010service interviews. Two application scenarios illustrate the pressing need for and the potentials of rapid knowledge work visualizations in organizational settings.Research limitations/implications \u2013 The efforts necessary for traditional modeling approaches in the area of knowledge management are often prohibitive. This contribution argues that future research needs ..." }, .... ], "predicates": [ { "id": "P37126", "label": "activities, behaviours, means [for knowledge development and/or for knowledge conveyance and transformation" }, { "id": "P36081", "label": "approach name" }, .... ] }, .... ] }</code></pre> <p>&nbsp;</p> <p><strong><em>training_set.json </em></strong>and<strong><em> test_set.json</em></strong></p> <p>The main JSON object consists of a list of training/test instances. Each instance has an instance_id with the format (comparison_id X paper_id) and a text. The text is a concatenation of the paper&#39;s label (title) and abstract. See an example instance below.</p> <p>Note that test instances are not duplicated and do not occur in the training set. Training instances are also not duplicated, BUT training papers can be duplicated in a concatenation with different comparisons.</p> <pre><code class="language-json">{ "instances": [ { "instance_id": "R108331xR108301", "comparison_id": "R108331", "paper_id": "R108301", "text": "A notation for Knowledge-Intensive Processes Business process modeling has become essential for managing organizational knowledge artifacts. However, this is not an easy task, especially when it comes to the so-called Knowledge-Intensive Processes (KIPs). A KIP comprises activities based on acquisition, sharing, storage, and (re)use of knowledge, as well as collaboration among participants, so that the amount of value added to the organization depends on process agents' knowledge. The previously developed Knowledge Intensive Process Ontology (KIPO) structures all the concepts (and relationships among them) to make a KIP explicit. Nevertheless, KIPO does not include a graphical notation, which is crucial for KIP stakeholders to reach a common understanding about it. This paper proposes the Knowledge Intensive Process Notation (KIPN), a notation for building knowledge-intensive processes graphical models." }, ... ] }</code></pre> <p>&nbsp;</p> <p><strong>Dataset Statistics:</strong></p> <table align="center"> <thead> <tr> <th scope="col">-</th> <th scope="col">Papers</th> <th scope="col">Predicates</th> <th scope="col">Research Fields</th> <th scope="col">Research Problems</th> </tr> </thead> <tbody> <tr> <td>Min/Comparison</td> <td>2</td> <td>2</td> <td>1</td> <td>0</td> </tr> <tr> <td>Max/Comparison</td> <td>202</td> <td>112</td> <td>5</td> <td>23</td> </tr> <tr> <td>Avg./Comparison</td> <td>21,54</td> <td>12,79</td> <td>1,20</td> <td>1,09</td> </tr> <tr> <td>Total</td> <td>4060</td> <td>1816</td> <td>46</td> <td>178</td> </tr> </tbody> </table> <p><strong>Dataset Splits:</strong></p> <table align="center"> <thead> <tr> <th scope="col">-</th> <th scope="col">Papers</th> <th scope="col">Comparisons</th> </tr> </thead> <tbody> <tr> <td>Training Set</td> <td>2857</td> <td>214</td> </tr> <tr> <td>Test Set</td> <td>1203</td> <td>180</td> </tr> </tbody> </table> <p>&nbsp;</p>

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

Raw data for Orostica et al "Open-Source Incubator for DNA Assembly Reactions"

<p>Raw data for the manuscript &quot;Open-Source Incubator for DNA Assembly Reactions&quot;</p>

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

EUCoM Open Data

<p>Description to add</p>

opencc-by-nc-nd-3.0Nov 2021View details →
zenodo28/100

Data for "Turbulence modulation in non-uniform open-channel clay suspension flows"

<p>This dataset&nbsp;details experimental results on the flow structure of clay-laden flows, for the first time isolating the effect of non-uniformity on spatial deceleration and acceleration in open-channel flows.&nbsp;</p>

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

Open Science materials of the paper "Automatically Recognizing the Semantic Elements from UML Class Diagram Images"

<p>This submission contains such files:</p> <p>1. &quot;questionnaire.docx&quot;: The questionnaire for the survey. The file contains all the questions and answers.<br> 2. &quot;raw data collected from participants.xlsx&quot;: The raw data collected from participants. Each row in the file represents a participant&#39;s answers to all questions, including the date, source, IP, and answers.<br> 3. &quot;raw data collected from open-source community.xlsx&quot;: The raw data collected from open-source community (the UML diagram usage). It contains the repositories and GitHub URLs, the UML diagrams and the corresponding links, and some statistics about the UML diagram usage.<br> 4. &quot;an implementation of ReSECDI.zip&quot;, &quot;utility source code.zip&quot;, &quot;utility compiled JAR.zip&quot;, and &quot;.m2.zip&quot;: An implementation of ReSECDI, and its dependencies. The implementation is in Java, and it requires JDK11 or higher. It depends on a project named &quot;utility&quot;, in addition to other dependencies. The source code of &quot;utility&quot; is provided in &quot;utility source code.zip&quot;, the compiled JAR file is in &quot;utility compiled JAR.zip&quot;, and the maven dependency files are provided in &quot;.m2.zip&quot;. The ways to add the &quot;utility&quot; to the implementation&#39;s dependencies are explained in the &quot;readme.txt&quot;.<br> 5. &quot;instructions for how to use the artifacts.docx&quot;: The instructions for how to use the implementation of ReSECDI. It mainly explains the key components of the implementation, and how to set the parameters.<br> 6. &quot;diagrams used for its evaluation.zip&quot;: The diagrams used for the evaluation. There are 50 diagrams collected from the open-source community. Each diagram&#39;s name represents its belonging repository.<br> 7. &quot;raw data collected during the evaluation.xlsx&quot;: The raw data collected during the evaluation. It contains the statistics of the classes and relationships for each diagram, and the recognition results.<br> 8. &quot;Manuscript.pdf&quot;: The manuscript explaining our approach.<br> 9. &quot;readme.txt&quot;: The&nbsp;readme file explaining details about each file.</p>

opencc-by-4.0May 2022View details →
dryad28/100

Learning and practice of complementary therapies in pulmonary transplant patients: the toolbox prospective open study

<p><span>Objective</span><span>:</span> <span>In addition to pharmacologic treatments, complementary therapies are a reliable option to improve pain and quality-of-life during and after lung transplantation.</span> <span>The objective of the present study was to highlight the possibility to implement a toolbox-kit of complementary techniques in lung transplantation which could improve patients' experience.</span></p> <p><span>Design</span><span>: Prospective open single-center study.</span></p> <p><span>Setting</span><span>: Foch University Hospital, Suresnes, France.</span></p> <p><span>Participants</span><span>: Adult patients undergoing double-lung transplantation.</span></p> <p><span>Results</span><span>:</span><span>  </span><span>Among the 80 patients included from May 2017 to September 2020, 59 were evaluated at the 4</span><span>th</span><span> postoperative month. Over the </span><span>4359 sessions performed</span><span>, the most frequent technique </span><span>used</span><span> before surgery</span><span> was relaxation. After transplantation, the techniques most frequently used were relaxation and TENS</span><span>. </span><span>TENS was the best performing technique in terms of autonomy, usability, adaptation, and compliance. Self-appropriation of relaxation was the easiest while self-appropriation of holistic gymnastics was difficult but appreciated by patients.</span></p> <p><span>Conclusion</span><span>: The appropriation by patients of complementary therapies such as mind-body therapies, TENS and holistic gymnastics are feasible in lung transplantation. Even after a short training session, patients regularly practiced these therapies, mainly TENS and relaxation.</span></p>

opencc-zeroAug 2022View details →
zenodo28/100

Open field with mouse

SciDraw upload

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

Supplementary material 4 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

PCR conditions

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 1 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

Taxon list SMTP

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 3 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

Specimens with molecular data

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 5 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

MrBayes Input file

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 6 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

P-distances

opencc-zeroSep 2022View details →
zenodo28/100

Supplementary material 2 from: Meier N, Urfer K, Haraldseide H, Vårdal H, Klopfstein S (2022) Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae). Journal of Hymenoptera Research 91: 83-183. https://doi.org/10.3897/jhr.91.83318

Taxon list CH

opencc-zeroSep 2022View details →
zenodo28/100

Five-Spin Supramolecule for Simulating Quantum Decoherence of Bell States. Open dataset

<p>Data supporting the original figures 2, 3, 4 of the related publication.</p>

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

Quantum error correction with molecular spin qudits. Open dataset

<p>Data supporting the original figures 1, 3, 4, 5 of the related publication.</p>

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

Text-fig. 4. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse (a) and longitudinal (b) sections of flower showing the ovary wall (ow) and numerous ovules (ov) borne on the mushroom-shaped central globose placenta (pl, blue); placenta shown as a voltex rendering added to orthoslices; note the large openings in the floral tissue (asterisks) interpreted as schizogenous secretory cavities. c, d: Longitudinal (c) and transverse (d) sections of flower (c, volume rendering cut between orthoslice yz0970-1005; d, volume rendering cut between orthoslice xy0780-0820) showing semiinferior ovary (ow, ovary wall) with sepals inserted at the rim of the hypanthium, central column (cc) with mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications

Text-fig. 4. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse (a) and longitudinal (b) sections of flower showing the ovary wall (ow) and numerous ovules (ov) borne on the mushroom-shaped central globose placenta (pl, blue); placenta shown as a voltex rendering added to orthoslices; note the large openings in the floral tissue (asterisks) interpreted as schizogenous secretory cavities. c, d: Longitudinal (c) and transverse (d) sections of flower (c, volume rendering cut between orthoslice yz0970-1005; d, volume rendering cut between orthoslice xy0780-0820) showing semiinferior ovary (ow, ovary wall) with sepals inserted at the rim of the hypanthium, central column (cc) with mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d).

opencc-by-4.0Dec 2021View details →
zenodo28/100

Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study"

<p>Supplementary website containing result plots and data, anonymized raw data, and scripts used to produce the results of the paper &quot;Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study&quot;.</p>

openother-openOct 2022View details →
zenodo28/100

Supplementary material 1 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811

Appendix 2.

opencc-zeroJul 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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.