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.
127
datasets available to search
ShareScore release 0.9.0
Dataset results
127 results for “learning outcomes”
Effect of an Observer Tool on Learning Outcomes During High Fidelity Simulation
ClinicalTrials.gov study NCT03356717. IPD Sharing: NO. Countries: 1. Publications: 2.
The Study Estimates the Longitudinal Impact of a Gamified Health Education App on Students' Health and Learning Outcomes
ClinicalTrials.gov study NCT05458141. IPD Sharing: NO. Countries: 1. Publications: 1.
Perioperative Outcome Risk Assessment With Computer Learning Enhancement
ClinicalTrials.gov study NCT05042804. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Gamified Infection Control Education for Nursing Students: Effects on Self-Efficacy, Motivation, and Learning Outcomes
ClinicalTrials.gov study NCT06786806. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of Simulation-Based Mastery Learning for Thoracentesis to Improve Outcomes
ClinicalTrials.gov study NCT01898247. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Zimbabwe Eyecare And Learning(ZEAL):Formative Research on Hyperopia and Educational Outcomes in Primary School Children
ClinicalTrials.gov study NCT05538182. IPD Sharing: YES. Countries: 1. Publications: 14.
A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders
ClinicalTrials.gov study NCT05035511. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Learning Outcomes With Point-of-Care Ultrasound
ClinicalTrials.gov study NCT04021693. IPD Sharing: NO. Countries: 1. Publications: 2.
Early life learning ability predicts adult social structure, with potential implications for fitness outcomes in the wild
Open the record for dataset details and reuse information.
Supplementary material 1 from: Häberlein L, Claas O (2020) Dataset: Feedback on the Path2Integrity learning cards for research integrity. Research Ideas and Outcomes 6: e58434. https://doi.org/10.3897/rio.6.e58434
Dataset: Feedback on the Path2Integrity learning cards for research integrity
Supplementary material 1 from: Berg I, Prieß-Buchheit J (2021) Dataset: Feedback on the Path2Integrity learning cards for research integrity (2020). Research Ideas and Outcomes 7: e78118. https://doi.org/10.3897/rio.7.e78118
Dataset
Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach
<p>Dataset for the accepted publication: "Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach"</p> <p> </p>
Figure 7e from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 7e Examples of use of the functions Duopoly and Star. - Example of use of the function Star. Parameter angle is set to 20º.
Figure 7b from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 7b Examples of use of the functions Duopoly and Star. - Example of use of the function Duopoly. Creation of a nefroid.
Figure 6e from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 6e Examples of different fractals produced with the functions of the LearnGeom package. The examples obtained with FractalSegment show how minimal modifications of the parameters can lead to very different curves. - A modificaction of the first five iterations of the Koch's (c) by changing parameter f from 1 to 2.
Figure 6b from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 6b Examples of different fractals produced with the functions of the LearnGeom package. The examples obtained with FractalSegment show how minimal modifications of the parameters can lead to very different curves. - First three first iterations of the Koch's curve.
Figure 6a from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 6a Examples of different fractals produced with the functions of the LearnGeom package. The examples obtained with FractalSegment show how minimal modifications of the parameters can lead to very different curves. - First seven iterations of the Sierpinski triangle.
Figure 5c from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 5c Different stages of the creation of a beehive structure with the aid of tessellations. - Once the contiguous hexagons are obtained, function Tessellation allows the creation of the structure.
Figure 5b from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 5b Different stages of the creation of a beehive structure with the aid of tessellations. - Creating two contiguous hexagons to the starting one. These hexagons are derived from the middle points of some of the sides of the initial hexagon.
Figure 5a from: Briz-Redón Á, Serrano-Aroca Á (2018) Novel pedagogical tool for simultaneous learning of plane geometry and R programming. Research Ideas and Outcomes 4: e25485. https://doi.org/10.3897/rio.4.e25485
Figure 5a Different stages of the creation of a beehive structure with the aid of tessellations. - Creating a regular hexagon that works as the start of the tessellation.
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.