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.
112
datasets available to search
ShareScore release 0.9.0
Dataset results
112 results for “language learning”
Figure 14 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 14 Egger's regression for attitudinal outcomes.
Figure 8 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 8 Egger's Regression for Written Language Outcomes.
Figure 10 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 10 Funnel Plot of Other Academic Outcomes
Figure 13 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 13 Funnel Plot of Attitudinal Outcomes
Figure 1 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 1 Slavin's conceptual model of effective cooperative learning.
Figure 6 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 6 Forest plot of written language outcomes.
Figure 12 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 12 Forest Plot of Attitudinal Outcomes
Figure 9 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 9 Forest Plot of Other Academic Outcomes
Figure 5 from: Cole MW (2018) Effectiveness of peer-mediated learning for English language learners: A meta-analysis. Research Ideas and Outcomes 4: e29375. https://doi.org/10.3897/rio.4.e29375
Figure 5 Egger's regression for oral language outcomes.
Assessment of Language Comprehension and Learning in Children Attending Child Psychiatry Services (TICOALA-SOINS)
ClinicalTrials.gov study NCT07283458. IPD Sharing: YES. Countries: 0. Publications: 0.
Dataset for Usability Study of a Sign Language Learning Tool
Open the record for dataset details and reuse information.
Supplementary materials of the paper entitled: "Generating Natural Language Requirements via Adversarial Examples in Deep Learning"
<p>Supplementary materials of the paper entitled:</p> <p>"Generating Natural Language Requirements via Adversarial Examples in Deep Learning"</p> <p>File A: Datasets (.txt)</p> <p> A1: Webex</p> <p> A2: Zoom</p> <p> A3: Teams</p> <p> A4: Word</p> <p> A5: Power Point</p> <p> A6: Excel</p> <p> </p> <p>File B: Python Code (Both Ours and Baseline)</p> <p> B1: adversarial_samples.ipynb</p> <p> B2: Baseline.ipynb</p> <p> </p> <p>FIle C: Result Tables (.xlsx)</p> <p> C1: Table of Perturbed outputs in WebEx </p> <p> C2: Table of Perturbed outputs in Zoom</p> <p> C3: Table of Perturbed outputs in Teams</p> <p> C4: Table of Perturbed outputs in Word</p> <p> C5: Table of Perturbed outputs in Power Point</p> <p> C6: Table of Perturbed outputs in Excel (Excel)</p> <p> </p> <p>File D: Trend of Adversarial Shifts (Graphs)</p> <p> D1: Adversarial shifts of office suit (LSTM)</p> <p> D2: Adversarial shifts of video conferencing suit (LSTM)</p> <p> D3: Non-Adversarial shifts of office suit (LSTM)</p> <p> D4: Non-Adversarial shifts of video conferencing suit(LSTM)</p> <p> D5: Adversarial shifts of office suit (GRU)</p> <p> D6: Adversarial shifts of video conferencing suit (GRU)</p> <p> D7: Non-Adversarial shifts of office suit (GRU)</p> <p> D8: Non-Adversarial shifts of video conferencing suit(GRU)</p> <p> D9: Adversarial shifts of office suit (Bi-LSTM)</p> <p> D10: Adversarial shifts of video conferencing suit (Bi-LSTM)</p> <p> D11: Non-Adversarial shifts of office suit (Bi-LSTM)</p> <p> D12: Non-Adversarial shifts of video conferencing suit(Bi-LSTM)</p> <p> </p> <p>File E: Adversarial Examples (.pdf)</p> <p> E1: Adversarial vs Original in WebEx</p> <p> E2: Adversarial vs Original in Zoom</p> <p> E3: Adversarial vs Original in Teams</p> <p> E4: Adversarial vs Original in Word</p> <p> E5: Adversarial vs Original in Power Point</p> <p> E6: Adversarial vs Original in Excel</p> <p> </p> <p>File F: Questionnaire</p> <p><br> <br> <br> <br> <br> <br> </p>
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.