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.
1,943
datasets available to search
ShareScore release 0.9.0
Dataset results
1,943 results for “machine learning”
Machine Learning Applied to EHRs Data of Patients With Sarcoma
ClinicalTrials.gov study NCT07215728. IPD Sharing: UNDECIDED. Countries: 0. Publications: 5.
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 3
ClinicalTrials.gov study NCT06645548. IPD Sharing: YES. Countries: 0. Publications: 6.
Data from: Machine learning to predict delayed cerebral ischemia and outcomes in subarachnoid hemorrhage
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Data from: Machine learning biogeographic processes from biotic patterns: a new trait-dependent dispersal and diversification model with model choice by simulation-trained discriminant analysis
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Data from: Assessing the potential information content of multicomponent visual signals: a machine learning approach
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Detection, quantification and classification of ripened tomatoes: a comparative analysis of image processing and machine learning
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Data from: Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation
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Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: a retrospective cohort study
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Machine learning techniques for mortality prediction in emergency departments: a systematic review
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Data from: Prediction model for aerodynamic coefficients of iced quad bundle conductors based on machine learning method
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Data from: Comprehensive machine learning analysis of Hydra behavior reveals a stable basal behavioral repertoire
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Data from: Trends in anesthesiology research: a machine learning approach to theme discovery and summarization
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Data from: Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and near-saturated hydraulic conductivity
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Data from: Development of machine learning models for diagnosis of glaucoma
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Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020
This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency
GEO Series GSE280344. Zea mays. 57 samples. Type: Expression profiling by high throughput sequencing.
Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors
GEO Series GSE213519. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data [Methylomics]
GEO Series GSE134052. Homo sapiens. 77 samples. Type: Methylation profiling by high throughput sequencing.
Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
GEO Series GSE270654. Mus musculus. 62 samples. Type: Expression profiling by high throughput sequencing.
Machine-learning model based on glycosyltransferase expression predicts multiple cancer types, subtypes and survival probability
GEO Series GSE254461. Homo sapiens. 57 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.