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.
82
datasets available to search
ShareScore release 0.9.0
Dataset results
82 results for “Adaptive Learning”
ERRγ links adaptive neuronal metabolism to spatial learning and memory [Array data]
GEO Series GSE47133. Mus musculus. 8 samples. Type: Expression profiling by array.
ERRγ links adaptive neuronal metabolism to spatial learning and memory [ChIP-Seq]
GEO Series GSE47134. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ERR-gamma links adaptive neuronal metabolism to spatial learning and memory
GEO Series GSE47135. Mus musculus. 10 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
Demo data for working with Learned Adaptive Multiphoton Illumination microscopy notebook
<p>This data is used for running parts of the Jupyter notebook describing Learned Adaptive Multiphoton Illumination microscopy in Pycro-Manager/Micro-Magellan in demo mode</p>
Using Learning Teams for Reflective Adaptation for Diabetes and Depression
ClinicalTrials.gov study NCT00414986. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assisting Smokers to Switch to an e-Cigarette by Accelerating Learning of Adaptive Habits Using D-cycloserine
ClinicalTrials.gov study NCT05994703. IPD Sharing: NO. Countries: 1. Publications: 0.
Retrieval-based Word Learning in Developmental Language Disorder: Adaptive Retrieval Schedule
ClinicalTrials.gov study NCT06995014. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study to Learn About Variant-Adapted COVID-19 RNA Vaccine Candidate(s) in Healthy Children
ClinicalTrials.gov study NCT05543616. IPD Sharing: NO. Countries: 4. Publications: 0.
Refinement and Adaption of Reinforcement Learning to Personalize Behavioral Messaging for Healthy Habits
ClinicalTrials.gov study NCT05742685. IPD Sharing: NO. Countries: 1. Publications: 0.
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation
ClinicalTrials.gov study NCT04839198. IPD Sharing: NO. Countries: 1. Publications: 0.
Investigating the Effects of Transcranial Direct Current Stimulation to Different Brain Regions on Ankle Tracking Motor Learning, Motor Adaptation, and Brain Connectivity in Healthy Middle-aged and Ol
ClinicalTrials.gov study NCT06556043. IPD Sharing: NO. Countries: 1. Publications: 0.
Using Machine Learning to Adapt Visual Aids for Patients With Low Vision
ClinicalTrials.gov study NCT04892316. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Piloting a Reinforcement Learning Tool for Individually Tailoring Just-in-time Adaptive Interventions
ClinicalTrials.gov study NCT05751993. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study to Learn About BNT162b2 (LP.8.1)-Adapted Vaccine Against SARS-CoV-2 in Children 5 Through 11 Years of Age That Are Considered at Higher Risk of Severe COVID-19
ClinicalTrials.gov study NCT07222384. IPD Sharing: NO. Countries: 2. Publications: 0.
Using Re-inforcement Learning to Automatically Adapt a Remote Therapy Intervention (RTI) for Reducing Adolescent Violence Involvement
ClinicalTrials.gov study NCT04850274. IPD Sharing: NO. Countries: 1. Publications: 0.
Approaches for machine learning intermolecular interaction energies and application to energy components from symmetry adapted perturbation theory
Open the record for dataset details and reuse information.
Clinical and Cost-effectiveness of Learning Through Play Plus Culturally Adapted Cognitive Behaviour Therapy for Postnatal Depression in Nigeria
ClinicalTrials.gov study NCT06990802. IPD Sharing: YES. Countries: 0. Publications: 0.
Tackling Postnatal Depression: Culturally Adapted Learning Through Play Plus (LTP+) Intervention for British Mothers of African and Caribbean Origin
ClinicalTrials.gov study NCT05148260. IPD Sharing: YES. Countries: 0. Publications: 0.
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS
SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS GOO JUN * AND JOYDEEP GHOSH* Abstract. A semi-supervised learning algorithm for the classification of hyperspectral data, Gaussian process expectation maximization (GP-EM), is proposed. Model parameters for each land cover class is first estimated by a supervised algorithm using Gaussian process regressions to find spatially adaptive parameters, and the estimated parameters are then used to initialize a spatially adaptive mixture-of-Gaussians model. The mixture model is updated by expectationmaximization iterations using the unlabeled data, and the spatially adaptive parameters for unlabeled instances are obtained by Gaussian process regressions with soft assignments. Two sets of hyperspectral data taken from the Botswana area by the NASA EO-1 satellite are used for experiments. Empirical evaluations show that the proposed framework performs significantly better than baseline algorithms that do not use spatial information, and the results are also better than any previously reported results by other algorithms on the same data.
Data Set of an online controlled experiment to study adaptive learning
<p>Online-controlled experiment evaluation - Data Set</p> <p>Digital learning platforms are more and more used in blended classroom scenarios in Germany. However, as learning processes are different among students, adaptive learning platforms can offer personalized learning, e.g. by individual feedback and corrections, task sequencing, or recommendations. As digital learning platforms are already used in classroom settings, we propose the transformation of these plat-forms into adaptive learning environments. To measure the effectiveness and improvements achieved through the adaptions an online-controlled experiment design is created. In our experiment, we therefore investigate the effectiveness of different inter-ventions on a large user group in a four-month online-controlled experiment. For this purpose, the highly frequented German learning platform Orthografietrainer.net was transformed into an adaptive learning platform and users were randomly assigned to different interventions.</p> <p>The experimental design is published here: N. Rzepka, K. Simbeck, H.-G. Müller, and N. Pinkwart An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,, SciTePress, 2022, ISBN 978-989-758-562-3 </p> <p>The architectural concept is published here: Rzepka, N., Simbeck, K., Müller, H.-G. & Pinkwart, N., (2022). Adaptive Learning as a Service – A concept to extend digital learning platforms?. In: Henning, P. A., Striewe, M.-0. 0. & Wölfel, M.-0. 0. (Hrsg.), 20. Fachtagung Bildungstechnologien (DELFI). Bonn: Gesellschaft für Informatik e.V.. (S. 237-238). DOI: 10.18420/delfi2022-049 </p> <p>The findings of this experiment are published here: tba</p> <p>The code to this evaluation can be found on Zenodo: <a href="https://doi.org/10.5281/zenodo.7755546">10.5281/zenodo.7755546</a></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.