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.
64
datasets available to search
ShareScore release 0.9.0
Dataset results
64 results for “Learning Modules”
Modulation by NPYR underlies experience-dependent, sexually dimorphic learning
GEO Series GSE273091. Caenorhabditis elegans. 16 samples. Type: Expression profiling by high throughput sequencing.
DBSOMA: A Machine Learning Method that Identifies Chemical Modulators of Transcriptional States Uncovers Effectors of Beta-Cell Maturation
GEO Series GSE309159. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Dataset: Online Learning Module of the "Training Course on Underlying Cause-of-Death Coding – ICD-10'" of the Virtual Learning Environment of the Brazilian Health System
<p><strong>README</strong></p> <p> </p> <p><strong>Dataset name:</strong><em> avasus_dataset.csv </em></p> <p><strong>Version: </strong>1.0 </p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued </p> <p><strong>Number of Instances: </strong>1533</p> <p><strong>Number of Attributes: 5</strong></p> <p><strong>Missing Values: </strong>Yes</p> <p><strong>Area(s): </strong>Health and education<strong> </strong></p> <p><strong>Sources: </strong></p> <ul> <li>Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a);</li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d). </li> </ul> <p><strong>Description</strong>:<strong> </strong>The "avasus_dataset.csv" dataset (see Table 1) originates from participants of the "Training Course on Underlying Cause-of-Death Coding – ICD-10". The course was available on the Brazilian National Health System - AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the course's scope and participant profiles.</p> <p><br><strong>Note</strong>: The dataset's content is provided in Brazilian Portuguese (pt-br), originating from native speakers.</p> <p><strong>Table 1: </strong>Description of AVASUS dataset features. </p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>Datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>certificate</strong></p> </td> <td> <p>The period in which the course participant obtained the right to a certificate.</p> </td> <td> <p>Datetime</p> </td> <td> <p>year-month-day hours, minutes, and seconds.</p> </td> </tr> <tr> <td> <p><strong>gender </strong></p> </td> <td> <p>Gender of the course participant. </p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Female;</p> </li> <li> <p>Male; or</p> </li> <li> <p>Not informed.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>region</strong></p> </td> <td> <p>Brazilian region in which the participant resides.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>North;</p> </li> <li> <p>Northeast;</p> </li> <li> <p>Central-West;</p> </li> <li> <p>Southeast;</p> </li> <li> <p>South;</p> </li> <li> <p>Abroad; or</p> </li> <li> <p>Not reported.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>course_evaluation</strong></p> </td> <td> <p>A score given to the course by the participant. </p> </td> <td> <p>Numerical</p> </td> <td> <p>0, 1, 2, 3, 4, 5, or NaN.</p> </td> </tr> <tr> <td> <p><strong>evaluation_commentary</strong></p> </td> <td> <p>Comment made by the participant about the course.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN.</p> </td> </tr> </tbody> </table> </div> <p> </p> <p><strong>Dataset name:</strong><em> cbo_dataset.csv </em></p> <p><strong>Version: </strong>1.0 </p> <p><strong>Dataset period:</strong> July 24, 2018 - February 22, 2024</p> <p><strong>Dataset Characteristics: </strong>Multivalued </p> <p><strong>Number of Instances: </strong>1135</p> <p><strong>Number of Attributes: 6</strong></p> <p><strong>Missing Values: </strong>Yes</p> <p><strong>Area(s): </strong>Health and education<strong> </strong></p> <p><strong>Sources: </strong></p> <ul> <li>Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a);</li> <li>Brazilian Occupational Classification (CBO) (Brasil, 2024b);</li> <li>National Registry of Health Establishments (CNES) (Brasil, 2024c); </li> <li>Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d). </li> </ul> <p><strong>Description</strong>:<strong> </strong>The "cbo_dataset.csv" dataset (see Table 2) originates from participants of the "Training Course on Underlying Cause-of-Death Coding – ICD-10". The course was available on the Brazilian National Health System - AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the course's scope and the participants' professional profiles.</p> <p><br><strong>Note</strong>: The dataset's content is provided in Brazilian Portuguese (pt-br), originating from native speakers.</p> <p><strong>Table 1: </strong>Description of AVASUS dataset features. </p> <div> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>Datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>gender </strong></p> </td> <td> <p>Gender of the course participant. </p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>Female;</p> </li> <li> <p>Male; or</p> </li> <li> <p>Not informed.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>region</strong></p> </td> <td> <p>Brazilian region in which the participant resides.</p> </td> <td> <p>Categorical</p> </td> <td> <ul> <li> <p>North;</p> </li> <li> <p>Northeast;</p> </li> <li> <p>Central-West;</p> </li> <li> <p>Southeast;</p> </li> <li> <p>South;</p> </li> <li> <p>Abroad; or</p> </li> <li> <p>Not reported.</p> </li> </ul> </td> </tr> <tr> <td> <p><strong>course_evaluation</strong></p> </td> <td> <p>A score given to the course by the participant. </p> </td> <td> <p>Numerical</p> </td> <td> <p>0, 1, 2, 3, 4, 5, or NaN.</p> </td> </tr> <tr> <td> <p><strong>evaluation_commentary</strong></p> </td> <td> <p>Comment made by the participant about the course.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN.</p> </td> </tr> <tr> <td> <p><strong>CBO_Code</strong></p> </td> <td> <p>Participant's occupation code.</p> </td> <td> <p>Numerical</p> </td> <td> <p>Participant's professional occupation code.</p> </td> </tr> <tr> <td> <p><strong>CBO_Description</strong></p> </td> <td> <p>Textual description of the participant's professional occupation.</p> </td> <td> <p>Categorical</p> </td> <td> <p>Text coded according to the Brazilian Classification of Occupations.</p> </td> </tr> </tbody> </table> </div> <p> </p> <p><strong>REFERENCES</strong></p> <p>Brasil (2024a). AVASUS - Virtual Learning Environment of the Brazilian Health System. Available from: <a href="https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php">https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php</a>. Accessed Jul 8, 2024.</p> <p>Brasil (2024b). CBO - classificação brasileira de ocupações. Available from: <a href="https://cbo.mte.gov.br/cbosite/pages/home.jsf">https://cbo.mte.gov.br/cbosite/pages/home.jsf</a>. Accessed Oct 23, 2024.</p> <p>Brasil (2024c). CNES - cadastro nacional de estabelecimentos de saúde. Available from: <a href="https://cnes.datasus.gov.br/">https://cnes.datasus.gov.br/</a>. Accessed Oct 23, 2024.</p> <p>Brasil (2024d). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: <a href="https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica">https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica</a>. Accessed Jun 19, 2024.</p> <p> </p> <p><strong>ARTICLE:</strong></p> <p>Data Report: Online Learning Module of the ``Training Course on Underlying Cause-of-Death Coding – ICD-10'' of the Virtual Learning Environment of the Brazilian Health System<br> </p> <p><strong>AUTHORS:</strong></p> <p>Aldiney J. Doreto<sup>1,2</sup>, António M. Teixeira<sup>3</sup>, Janaina L. R. S. Valentim<sup>1,4</sup>, João P. Q. Santos<sup>1,4</sup>, Talita K. de B. Pinto<sup>1</sup>, Yluska M. M. B. Mendes<sup>5</sup>, Aline P. Dias<sup>1</sup>, Karla M. D. Coutinho<sup>1,6</sup>, Ednara N. Gonçalves<sup>1</sup>, Andréa S. Pinheiro<sup>1</sup>, Felipe Fernandes<sup>1</sup>, Natalia A. N. Batista<sup>1,7</sup>, Karilany D. Coutinho<sup>1,8</sup>, and Ricardo A. M. Valentim<sup>1,8</sup></p> <p> </p> <p><sup>1</sup>Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil </p> <p><sup>2</sup>University of Minho (UMinho)/Open University of Portugal (UAb), Lisbon, Portugal</p> <p><sup>3</sup>Department of Education and Distance Learning, Open University of Portugal (UAb), Lisbon, Portugal</p> <p><sup>4</sup>Advanced Nucleus for Technological Innovation (NAVI), Federal Institute of Rio Grande do Norte (IFRN), Natal, RN, Brazil</p> <p><sup>5</sup>Secretariat of Health Surveillance and Environment of the Brazilian Ministry of Health, Brasilia, Federal District, Brazil</p> <p><sup>6</sup>Health Sciences Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil</p> <p><sup>7</sup>Social Sustainability and Development Graduate Program, Open University of Portugal, Lisbon, Portugal</p> <p><sup>8</sup>Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, RN, Brazil</p>
A Novel Piperine Derivative Inhibits Colorectal Cancer Progression by Modulating EMT Signaling Pathways: An Integrated Transcriptomic and Machine Learning Analysis
GEO Series GSE275190. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
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.