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61
datasets available to search
ShareScore release 0.9.0
Dataset results
61 results for “learning strategies”
INTEGRATING CULTURE INTO LANGUAGE LEARNING: STRATEGIES AND CHALLENGES
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VOCABULARY LEARNING STRATEGIES OF EFL STUDENTS AT THE TERTIARY LEVEL
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Exploring Protein Conformational Changes Using a Large-scale Biophysical Sampling Augmented Deep Learning Strategy
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Evaluation of Learning-Theory-Based Smoking Cessation Strategies
ClinicalTrials.gov study NCT01368653. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Defeating crypsis: detection and learning of camouflage strategies
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Data from: Cortical recruitment determines learning dynamics and strategy
Salience is a broad and widely used concept in neuroscience whose neuronal correlates, however, remain elusive. In behavioral conditioning, salience is used to explain various effects, such as stimulus overshadowing, and refers to how fast and strongly a stimulus can be associated with a conditioned event. Here, we identify sounds of equal intensity and perceptual detectability, which due to their spectro-temporal content recruit different levels of population activity in mouse auditory cortex. When using these sounds as cues in a Go/NoGo discrimination task, the degree of cortical recruitment matches the salience parameter of a reinforcement learning model used to analyze learning speed. We test an essential prediction of this model by training mice to discriminate light-sculpted optogenetic activity patterns in auditory cortex, and verify that cortical recruitment causally determines association or overshadowing of the stimulus components. This demonstrates that cortical recruitment underlies major aspects of stimulus salience during reinforcement learning.
Experimental-data-driven deep learning strategy for Structural Health Monitoring of a plate in acoustic fields
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Learning Effective New Strategies for Worry in Parkinson's Disease
ClinicalTrials.gov study NCT04007718. IPD Sharing: NO. Countries: 1. Publications: 0.
Learning Strategies for Improving Dual Task Performance in Multiple Sclerosis
ClinicalTrials.gov study NCT04538872. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Learning Effects of Attentional Strategy on Dual-task Walking in Patients With Parkinson's Disease: Behavioral Performance and Neural Plasticity
ClinicalTrials.gov study NCT03895125. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Strategy Based Technique to Enhance Memory (STEM) for Improving New Learning and Memory (NLM) in Moderate to Severe TBI
ClinicalTrials.gov study NCT04054596. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Virtual Reality: a Teaching-learning Strategy for Cognitive Mastery in Airway Trauma Management
ClinicalTrials.gov study NCT04451590. IPD Sharing: YES. Countries: 1. Publications: 0.
The Learning Effects of Task-priority Strategy on Dual-task Weight Shifting and Brain Plasticity in Patients With Parkinson's Disease
ClinicalTrials.gov study NCT04288024. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of Closed-Loop Strategy With and Without a Learning Component in Children and Adolescents With Type 1 Diabetes at a Diabetes Camp
ClinicalTrials.gov study NCT03581968. IPD Sharing: NO. Countries: 1. Publications: 0.
Helping Educate and Advance Learning Through Healthy Bite-Sized Eating Strategies
ClinicalTrials.gov study NCT06082830. IPD Sharing: NO. Countries: 1. Publications: 0.
A live-cell image-based machine learning strategy for reducing variability in iPSC differentiation systems
GEO Series GSE226159. Homo sapiens. 45 samples. Type: Expression profiling by high throughput sequencing.
Data from: Cortical recruitment determines learning dynamics and strategy
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Using integrative bioinformatics approaches and machine‑learning strategies to Identify potential signatures for atrial fibrillation
GEO Series GSE282504. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning
ClinicalTrials.gov study NCT06544681. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Fast and robust characterization of RNA targets of RNA-binding proteins by RNA-editing strategy coupled with machine learning in human embryonic stem cells
GEO Series GSE244757. Homo sapiens. 26 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.