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datasets available to search
ShareScore release 0.9.0
Dataset results
52 results for “Educational Resources”
Impacts of the VEGA Family Violence Education Resources for Psychology Trainees
ClinicalTrials.gov study NCT06630598. IPD Sharing: NO. Countries: 1. Publications: 0.
Centering Gender Affirming Resources in Higher Education
ClinicalTrials.gov study NCT06390332. IPD Sharing: YES. Countries: 1. Publications: 0.
Community Awareness, Resources and Education (CARE II): Project 3
ClinicalTrials.gov study NCT01299714. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Nutrition Education Intervention in Adults With Type 2 Diabetes Mellitus in a Resource Poor Setting
ClinicalTrials.gov study NCT01095965. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Community Awareness, Resources and Education (CARE II) Project: Project 1
ClinicalTrials.gov study NCT02797600. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ACS Community Access to Resources Education and Support
ClinicalTrials.gov study NCT06285929. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Diabetes Nutrition Education and Healthy Food Resource for AIANs With T2D
ClinicalTrials.gov study NCT06077162. IPD Sharing: NO. Countries: 1. Publications: 0.
Authorship information of open educational resources derived from peer-reviewed scientific literature
Open the record for dataset details and reuse information.
CLARA Knowledge Graph of licensed educational resources (Singleton properties)
<p><span>/!\</span> This deposit is deprecated; a more complete version of the deposit can be found here: <a href="https://zenodo.org/records/8403142">8403142</a>. <span>/!\</span></p> <p><strong>CLARA</strong><br>This deposit is part of the <a href="https://project.inria.fr/clara/">CLARA project</a>. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.</p> <p>The present deposit contains the RDF files created using an RDF mapping (<a href="https://rml.io/">RML</a>) and a mapper (<a href="https://github.com/morph-kgc/morph-kgc">Morph-KGC</a>). The files used as inputs can be found <a href="http://10.5281/zenodo.8107150">here</a>. That pipeline can be found on <a href="https://gitlab.univ-nantes.fr/clara/pipeline">Gitlab</a>. The data used in that pipeline originate from <a href="https://www.x5gon.org/">X5GON</a>, a European project aiming to generate and gather open educational resources.</p> <p><strong>Content</strong><br>The present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).<br>That information contains </p> <ul> <li>the author,</li> <li>its title and description</li> <li>the license,</li> <li>a URL to the resource itself,</li> <li>the language of the educational resource,</li> <li>its mimetype,</li> <li>and finally which subject it talks about, and to what extent.</li> </ul> <p><br>That extent is given by two scores, a PageRank score and a cosinus score (that were <strong>not</strong> calculated on our graph but during the X5GON project)</p> <p>A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.<br>Other versions of the same deposit can be found using different reification models:</p> <ul> <li><a href="https://zenodo.org/record/8108856">Standard reification</a></li> <li><a href="https://zenodo.org/record/8108948">Named graphs</a></li> <li><a href="https://zenodo.org/record/8108971">RDF-star</a></li> </ul> <p>The Knowledge Graph also contains <a href="https://databus.dbpedia.org/dbpedia/generic/categories">categories</a> originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.</p> <p>The deposit contains five types of files:</p> <ul> <li><strong>Authors_[</strong>X<strong>].nt</strong> - Those contain the authors' nodes, their type, and name.</li> <li><strong>ER_[</strong>X<strong>].nt</strong> - Those contain the educational resources and their information using singleton properties.</li> <li><strong>categories_skos_[</strong>X<strong>].ttl</strong> - Those contain the hierarchy of DBpedia categories.</li> <li><strong>categories_labels.ttl </strong>- This file contains additional information about the categories.</li> <li><strong>categories_article.ttl</strong> - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.</li> </ul>
CLARA Knowledge Graph of licensed educational resources (RDF-star)
<p><span>/!\</span> This deposit is deprecated; a more complete version of the deposit can be found here: <a href="https://zenodo.org/records/8403142">8403142</a>. <span>/!\</span></p> <p><strong>CLARA</strong><br>This deposit is part of the <a href="https://project.inria.fr/clara/">CLARA project</a>. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.</p> <p>The present deposit contains the RDF files created using an RDF mapping (<a href="https://ceur-ws.org/Vol-2980/paper374.pdf">RML-star</a>) and a mapper (<a href="https://github.com/morph-kgc/morph-kgc">Morph-KGC</a>). The files used as inputs can be found <a href="http://10.5281/zenodo.8107150">here</a>. That pipeline can be found on <a href="https://gitlab.univ-nantes.fr/clara/pipeline">Gitlab</a>. The data used in that pipeline originate from <a href="https://www.x5gon.org/">X5GON</a>, a European project aiming to generate and gather open educational resources.</p> <p><strong>Content</strong><br>The present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).<br>That information contains </p> <ul> <li>the author,</li> <li>its title and description</li> <li>the license,</li> <li>a URL to the resource itself,</li> <li>the language of the educational resource,</li> <li>its mimetype,</li> <li>and finally which subject it talks about, and to what extent.</li> </ul> <p><br>That extent is given by two scores, a PageRank score and a cosinus score (that were <strong>not</strong> calculated on our graph but during the X5GON project)</p> <p>A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.<br>Other versions of the same deposit can be found using different reification models:</p> <ul> <li><a href="https://zenodo.org/record/8108856">Standard reification</a></li> <li><a href="https://zenodo.org/record/8108948">Named graphs</a></li> <li><a href="https://zenodo.org/record/8108963">Singleton properties</a></li> </ul> <p>The Knowledge Graph also contains <a href="https://databus.dbpedia.org/dbpedia/generic/categories">categories</a> originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.</p> <p>The deposit contains five types of files:</p> <ul> <li><strong>Authors_[</strong>X<strong>].nt</strong> - Those contain the authors' nodes, their type, and name.</li> <li><strong>ER_[</strong>X<strong>].ttl</strong> - Those contain the educational resources and their information using RDF-star.</li> <li><strong>categories_skos_[</strong>X<strong>].ttl</strong> - Those contain the hierarchy of DBpedia categories.</li> <li><strong>categories_labels.ttl </strong>- This file contains additional information about the categories.</li> <li><strong>categories_article.ttl</strong> - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.</li> </ul>
CLARA Knowledge Graph of licensed educational resources (Named graphs)
<p><span>/!\</span> This deposit is deprecated; a more complete version of the deposit can be found here: <a href="https://zenodo.org/records/8403142">8403142</a>. <span>/!\</span></p> <p><strong>CLARA</strong><br>This deposit is part of the <a href="https://project.inria.fr/clara/">CLARA project</a>. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.</p> <p>The present deposit contains the RDF files created using an RDF mapping (<a href="https://rml.io/">RML</a>) and a mapper (<a href="https://github.com/morph-kgc/morph-kgc">Morph-KGC</a>). The files used as inputs can be found <a href="http://10.5281/zenodo.8107150">here</a>. That pipeline can be found on <a href="https://gitlab.univ-nantes.fr/clara/pipeline">Gitlab</a>. The data used in that pipeline originate from <a href="https://www.x5gon.org/">X5GON</a>, a European project aiming to generate and gather open educational resources.</p> <p><strong>Content</strong><br>The present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).<br>That information contains </p> <ul> <li>the author,</li> <li>its title and description</li> <li>the license,</li> <li>a URL to the resource itself,</li> <li>the language of the educational resource,</li> <li>its mimetype,</li> <li>and finally which subject it talks about, and to what extent.</li> </ul> <p><br>That extent is given by two scores, a PageRank score and a cosinus score (that were <strong>not</strong> calculated on our graph but during the X5GON project)</p> <p>A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.<br>Other versions of the same deposit can be found using different reification models:</p> <ul> <li><a href="https://zenodo.org/record/8108856">Standard reification</a></li> <li><a href="https://zenodo.org/record/8108963">Singleton properties</a></li> <li><a href="https://zenodo.org/record/8108971">RDF-star</a></li> </ul> <p>The Knowledge Graph also contains <a href="https://databus.dbpedia.org/dbpedia/generic/categories">categories</a> originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.</p> <p>The deposit contains five types of files:</p> <ul> <li><strong>Authors_[</strong>X<strong>].nt</strong> - Those contain the authors' nodes, their type, and name.</li> <li><strong>ER_[</strong>X<strong>].nq</strong> - Those contain the educational resources and their information using named graphs.</li> <li><strong>categories_skos_[</strong>X<strong>].ttl</strong> - Those contain the hierarchy of DBpedia categories.</li> <li><strong>categories_labels.ttl </strong>- This file contains additional information about the categories.</li> <li><strong>categories_article.ttl</strong> - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.</li> </ul>
CLARA Knowledge Graph of licensed educational resources (Standard reification)
<p><span>/!\</span> This deposit is deprecated; a more complete version of the deposit can be found here: <a href="https://zenodo.org/records/8403142">8403142</a>. <span>/!\</span></p> <p><strong>CLARA</strong><br>This deposit is part of the <a href="https://project.inria.fr/clara/">CLARA project</a>. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources.</p> <p>The present deposit contains the RDF files created using an RDF mapping (<a href="https://rml.io/">RML</a>) and a mapper (<a href="https://github.com/morph-kgc/morph-kgc">Morph-KGC</a>). The files used as inputs can be found <a href="http://10.5281/zenodo.8107150">here</a>. That pipeline can be found on <a href="https://gitlab.univ-nantes.fr/clara/pipeline">Gitlab</a>. The data used in that pipeline originate from <a href="https://www.x5gon.org/">X5GON</a>, a European project aiming to generate and gather open educational resources.</p> <p><strong>Content</strong><br>The present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia).<br>That information contains </p> <ul> <li>the author,</li> <li>its title and description</li> <li>the license,</li> <li>a URL to the resource itself,</li> <li>the language of the educational resource,</li> <li>its mimetype,</li> <li>and finally which subject it talks about, and to what extent.</li> </ul> <p><br>That extent is given by two scores, a PageRank score and a cosinus score (that were <strong>not</strong> calculated on our graph but during the X5GON project)</p> <p>A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties.<br>Other versions of the same deposit can be found using different reification models:</p> <ul> <li><a href="https://zenodo.org/record/8108948">Named graphs</a></li> <li><a href="https://zenodo.org/record/8108963">Singleton properties</a></li> <li><a href="https://zenodo.org/record/8108971">RDF-star</a></li> </ul> <p>The Knowledge Graph also contains <a href="https://databus.dbpedia.org/dbpedia/generic/categories">categories</a> originating from DBpedia. They help precise the subjects that are also extracted from DBpedia.</p> <p>The deposit contains five types of files:</p> <ul> <li><strong>Authors_[</strong>X<strong>].nt</strong> - Those contain the authors' nodes, their type, and name.</li> <li><strong>ER_[</strong>X<strong>].nt</strong> - Those contain the educational resources and their information using standard reification.</li> <li><strong>categories_skos_[</strong>X<strong>].ttl</strong> - Those contain the hierarchy of DBpedia categories.</li> <li><strong>categories_labels.ttl </strong>- This file contains additional information about the categories.</li> <li><strong>categories_article.ttl</strong> - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.</li> </ul>
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.