Find research datasets worth reusing
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8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “meta-learning”
Delaunay data set learn2learn l2l for meta-learning and few-shot learning
<p>Delaunay data set learn2learn l2l for meta-learning and few-shot learning. We split it into 3 meta-train, meta-val and meta-test sets. </p> <p> </p> <p>For details of original data see: https://github.com/camillegontier/DELAUNAY_dataset</p>
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)
<p>Replication dataset for experiments performed in MLSys 2021 submission: "Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE)"</p> <p>(currently using a placeholder to acquire link for submission, will update with dataset)</p>
The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"
<p>The raw data from the article "KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling"</p>
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility
<p>This upload contains 1) the used thematic maps in the study, 2) the samples to train and validate the proposed model, and 3) the samples used to predict landslide susceptibility of Fengjie County and Fuling District. The code related to the methods is available on the website: <a href="https://github.com/Young-Excavator/Meta_LSM">https://github.com/Young-Excavator/Meta_LSM</a>.</p>
LML-Learning Meta-Learning Dataset_update version
<p>The LML dataset presented in this paper contains both categorical and continuous data for 7 meta-learning parameters: age, gender, degree of illusion of competence, sleep duration, chronotype, experience of imposter phenomenon and multiple intelligence. Convenience sampling and simple random sampling method are used to structure the volunteered anonymous online survey data collection project for LML dataset creation. Survey questionnaires are set to explore adult learners' (age over 18) meta-learning parameters. The responses from the 54 survey questionnaires contains raw data from 1021 current university students from 11 universities of Bangladesh.</p> <p>Mean and standard deviation for the participant's baseline attributes are given for scale parameters, and frequency and percentage are calculated for categorical parameters. Academic curriculum, courses as well as professional training materials can be reviewed and re-designed with focusing on the diversity of learners. How the designed courses will be learned by learners along with how they will be taught is a significant point for education in any discipline. As the survey questionnaires are set for adult learners and only current university students have participated in this survey, this dataset is appropriate for study andragogy and heutagogy but pedagogy.</p> <p>Ethics statements Ethical approval (Involvement of Human Subjects) were obtained from the Biosafety, Biosecurity and Ethical Clearance Committee, Jahangirnagar University (reference no. is BBEC,JU/M 2022/01 (18)). The dataset presented in this article is open for public access. It is mandatory to follow the correct citation guidelines when using this LML dataset.</p> <p>Credit author statement Sonia Corraya: Conceptualization, Methodology, Data curation, Visualization, Writing – original draft; Professor Shamim Al Mamun: Supervision; Professor M. Shamim Kaiser: Supervision.</p> <p>This dataset belongs to Authors, Institute of Information Technology, Jahangirnagar University, savar, Dhaka-1342, Bangladesh.</p>
Task-Informed Meta-Learning data
<p>Data accompanying the Task-Informed Meta-Learning codebase (https://github.com/nasaharvest/timl).</p>
Few-Shot Meta-Learning Applied to Whole Brain Activity Maps Improves Systems Neuropharmacology and Drug Discovery
<p>Data and Code are all included</p>
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
<p>Datasets and pre-trained models for NeurIPS 2020 submission "Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning".</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.