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Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
251
datasets available to search
ShareScore release 0.7.1
Dataset results
251 results for “deep learning models”
Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.
ClinicalTrials.gov study NCT04270032. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Application of Multitask Deep Learning Model in Grading the Severity of Spinal Facet Joint Degeneration
ClinicalTrials.gov study NCT05635006. IPD Sharing: NO. Countries: 1. Publications: 0.
Precision Treatment of Unresectable HCC Guided by Multi-omics Deep Learning Models
ClinicalTrials.gov study NCT06463444. IPD Sharing: NO. Countries: 1. Publications: 0.
Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
ClinicalTrials.gov study NCT07088354. IPD Sharing: NO. Countries: 1. Publications: 0.
Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction
ClinicalTrials.gov study NCT07277400. IPD Sharing: NO. Countries: 1. Publications: 0.
A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
ClinicalTrials.gov study NCT06506318. IPD Sharing: NO. Countries: 1. Publications: 0.
Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models
ClinicalTrials.gov study NCT04955067. IPD Sharing: NO. Countries: 1. Publications: 0.
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.
Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
ClinicalTrials.gov study NCT06596798. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence model
GEO Series GSE252463. Mus musculus. 59 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
De novo inference of thermodynamic binding energies using deep learning models of in vivo transcription factor binding
GEO Series GSE207001. Saccharomyces cerevisiae. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Deep learning based transcriptome model robustly predicts survival in T-cell acute lymphoblastic leukemia
GEO Series GSE214998. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Synthetic basement depth, gravity anomalies, density and observation points training dataset to train deep learning model
<p>Contains 200000 training data for our DNN model.</p>
Deep learning models for generation of precipitation maps based on NWP Data
<p>Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP".</p> <p>trn = training set<br> vld = validation set<br> tst = test set<br> x = COSMO-DE-EPS ensemble statistics<br> y = high definition radar precipitation<br> t = time<br> c = COSMO-DE-EPS precipitation prediction</p>
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.
Development of a Predictive Model for Gastric Cancer Peritoneal Metastasis and Cachexia Using BUB1 and Radiopathomics Data With Deep Learning
ClinicalTrials.gov study NCT06858644. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Developing a MRI-based Deep Learning Model to Predict MMR Status
ClinicalTrials.gov study NCT05783986. IPD Sharing: NO. Countries: 0. Publications: 0.
A Single-arm, Prospective, Multi-center Cohort Study Based on Deep Learning-based cfDNA Fragment Omics to Verify the TuFEst Model for the Staging Diagnosis of Breast Cancer Lesions and Lymph Nodes
ClinicalTrials.gov study NCT07304934. IPD Sharing: NO. Countries: 0. Publications: 0.
Deep Learning Models for Cell Cycle Phase Prediction from Single-Cell RNA Sequencing Data
GEO Series GSE293316. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Model Results for 'Deep Learning Forecast and Physical Interpretation of Semidiurnal Internal Tides from the Mariana Arc'
<p>Model Results for 'Deep Learning Forecast and Physical Interpretation of Semidiurnal Internal Tides from the Mariana Arc'</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.