SemanticPriming/SPAML: SPAML v1.0.2 Data Release
<h2>What's Changed</h2> <ul> <li>Add information on computationally reproducing the analyses by @suchow in https://github.com/SemanticPriming/SPAML/pull/6</li> <li>Use data URL that always resolves to latest by @suchow in https://github.com/SemanticPriming/SPAML/pull/5</li> <li>Add checksum file for data files by @suchow in https://github.com/SemanticPriming/SPAML/pull/4</li> <li>Copyedit the various READMEs by @suchow in https://github.com/SemanticPriming/SPAML/pull/3</li> <li>Updated manuscript to final version for submission by updating reliability, adding raw response time tables to descriptives, creating raw response latency figures, and remove unused files</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/SemanticPriming/SPAML/compare/v1.0.1...v1.0.2</p> <p>This data release includes all data from the SPAML project as of February 14, 2024. Please see documentation in the main github for information on the project and data. You can use the <code>semanticprimeR</code> package to help you process and load the data: https://github.com/SemanticPriming/semanticprimeR.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8