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.
46
datasets available to search
ShareScore release 0.7.1
Dataset results
46 results for “multimodal learning”
Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model
ClinicalTrials.gov study NCT06420440. IPD Sharing: NO. Countries: 1. Publications: 0.
MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury
ClinicalTrials.gov study NCT07284771. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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.
Efficacy and Safety of Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model.
ClinicalTrials.gov study NCT06311916. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study
<p>This dataset contains the necessary details to reproduce the experiments of the paper :</p> <p>Vujovic M., Hernández-Leo, D., Tassani S., Spikol D. (2020). Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study, (in the process of revision) <em>British Journal of Education Technology</em></p> <p>This data represents measurements collected from two experiments explained in the article:</p> <ul> <li>Qualitative data - observations</li> <li>Experiment_university students - measurements (distance between students, range of movement, level of participation)</li> <li>Experiment_elementary school students - measurements (distance between students, range of movement, level of participation)</li> </ul> <p>We would appreciate it if you cite the paper after using the dataset.</p>
Enhancing consent forms to support participant decision making in multimodal learning research
<p>Advances in the field of multimodal learning research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. However, the exploration of the ethical principles and procedures for governing the usage of the new technologies and techniques is not as eagerly pursued. As multimodal learning data grows in complexity, and to an extent invasiveness, a need is arising to scrutinize the ethical aspects of multimodal learning research. The process of informed consent in multimodal learning research may be an appropriate starting point as the results of bioethical studies suggest that many informed consent processes do not adequately support participant comprehension of the studies they consent to. Studies have shown that enhancing consent forms can improve participant comprehension and contribute to validating the consent received. The following data set include two types of enhanced consent forms: one form is written from a researcher perspective and the other from a participant perspective. Results of the study involving first year undergraduate students suggest that the overall level of comprehension did not differ between conditions. Yet, the participant-oriented consent form had significantly lower rates of enrollment. </p> <p>The data set is composed by:</p> <p>Anonymized Data Sheet: participant responses to the Informed Consent Test for Educational Technology and survey questions</p> <p>Enhanced Consent Forms: Enhanced consent forms for educational technology research for each condition in the study and in both English and Spanish. Form A is written from a research perspective (researcher-oriented) – which is how most forms are written. Form B is written from a participant perspective (participant-oriented).</p> <p> </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.