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173
datasets available to search
ShareScore release 0.9.0
Dataset results
173 results for “convolutional neural networks”
EuroSAT processed with quantum convolutional neural network
<p>This dataset contains all the <a href="https://github.com/phelber/EuroSAT">EuroSAT</a> images processed with a quanvolutional neural network with rx rotation gates and a random layer.</p>
Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network
<p>Test data set</p>
Data from: High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: application to invasive breast cancer detection
Open the record for dataset details and reuse information.
Unexpected high accuracy of landscape genetics inference with convolutional neural networks
Open the record for dataset details and reuse information.
Identification of species by combining molecular and morphological data using convolutional neural networks
Open the record for dataset details and reuse information.
A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer
GEO Series GSE179983. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [ATAC-seq]
GEO Series GSE263338. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [ChIP-seq]
GEO Series GSE263337. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [wt RNA-seq]
GEO Series GSE267549. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
A functional genomics atlas enhanced by convolutional neural networks facilitates clinical interpretation of disease relevant variants in non-coding regulatory elements [STARR-RNA-seq]
GEO Series GSE263335. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Replication data for Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions
<p>Data represents number of posts from Instagram in area for six large cities (New York, London, Moscow, Vienna, Tokyo, and Saint Petersburg) covering 2017 and 2018. We aggregated data by hours and split each city using hierarchical area split by 10x10 grid with three levels. The size of the cell on the micro-level equals to 50 meters. Thus, we get 8760 examples for each year. Cells with zero number of posts in an hour are not listed.</p> <p>Data stored in JSON files with the following format:<br> {"2018-12-13 04:00:00":<br> {"(4, 4)":<br> {"sum":1,<br> "data":<br> {"(9, 6)":<br> {"sum":1,<br> "data":{"(2, 4)":1}}}}}}</p>
Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using Random Chaotic Rainfall
<p>This data is part of the article "Interpretable Deep Convolutional Neural Network-based Surrogates for Complex Urban Hydrodynamic Modeling using. Random Chaotic Rainfall "data for model training and validation, as well as a dynamic runoff range generated by DHMUrban</p>
Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
<p>Some data and codes for Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks.</p>
Convolutional Neural Networks for Scops Owl Sound Classification
<p>These are the training, validation, and testing datasets used in a publication titled "Convolutional Neural Networks for Scops Owl Sound Classification" . Each set consists of WAV files of seven Indonesian scops owl species. If you use this dataset for your research publication please cite the following paper: <a href="https://doi.org/10.1016/j.procs.2020.12.010">https://doi.org/10.1016/j.procs.2020.12.010</a></p>
The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study
ClinicalTrials.gov study NCT06751498. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A New Method of Muscle Strength Testing Using a Quantitative Ultrasonic Technique and a Convolutional Neural Network
ClinicalTrials.gov study NCT04043832. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Renal Cancer Detection Using Convolutional Neural Networks
ClinicalTrials.gov study NCT03857373. IPD Sharing: NO. Countries: 1. Publications: 0.
Convolutional Neural Network for the Detection of Cervical Myelomalacia
ClinicalTrials.gov study NCT04796987. IPD Sharing: YES. Countries: 1. Publications: 0.
Convolutional Neural Network Model to Detect Coronavirus Disease 2019 (COVID-19) Pneumonia in Chest Radiographs
ClinicalTrials.gov study NCT05722665. IPD Sharing: NO. Countries: 1. Publications: 0.
Bladder Cancer Detection Using Convolutional Neural Networks
ClinicalTrials.gov study NCT05193656. IPD Sharing: NO. Countries: 1. Publications: 0.
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.