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921
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ShareScore release 0.7.1
Dataset results
921 results for “neural networks”
Data for "Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity"
<p>The trained 600-member ensemble convolutional neural networks (CNNs) for seasonal tropical cyclone (TC) activity to allow future studies. Please refer Fu et al. (2023; <em>Using Convolutional Neural Network to Emulate Seasonal Tropical Cyclone Activity</em>) for more details.</p>
SNANA curves preproccessed for Neural Network
<p>SN light curves generated by SNANA, preprocessed for use in RNN architecture</p>
MetalHawk: Enhanced Classification Of Metal Coordination Geometries by Artificial Neural Networks
<p>The data used to train and validate the CSD-NN and PDB-NN models. These neural networks built in Scikit-learn and are trained to recognize the geometry and coordination number of a metal site from the geometric features including distances and angles of the six atoms closest to the metal. The sites are stored as .pdb files composed of all atoms falling within 10 angstroms of the central metal atom and they include both metal complexes deposited in the Cambridge Structural Database (CSD, Version 5.42-5.43) and bioinorganic sites deposited in the Protein Data Bank (PDB), retrieved through the MetalPDB interface (up to the end of 2018). The sites are divided in seven geometry classes: linear (LIN), trigonal planar (TRI), tetrahedral (TET), square planar (SPL), square pyramidal (SQP), trigonal bipyramidal (TBP) and octahedral (OCT).</p> <p>The number of metal sites in each file is the following:</p> <p>CSD_dataset_pdbs.zip - 110K </p> <p>CSD_validation_dataset_pdbs.zip - 1369</p> <p>PDB_dataset_pdbs.zip file - 2960</p> <p>PDB_validation_dataset_pdbs.zip - 106</p> <p>The file images_and_data_analysis.zip contains all data and code required to replicate the figures shown in the paper.</p> <p>The benchmark_fp.zip file contains code for the benchmark of Metalhawk and its comparison to Findgeo, another tool for coordination geometry classification.</p>
Iterative convergent computation may not be a useful inductive bias for residual neural networks
<p>This repository contains the code and data necessary to reproduce the results and figures in "Iterative convergent computation may not be a useful inductive bias for residual neural networks".</p>
Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)
ClinicalTrials.gov study NCT05450016. IPD Sharing: Not stated. Countries: 1. Publications: 21.
The Study on Effect and Neural Network Mechanism of Transcranial Direct Current Stimulation for Sudden Deafness With Tinnitus
ClinicalTrials.gov study NCT05964725. IPD Sharing: Not stated. Countries: 1. Publications: 19.
Change of Neural Network Indicators Through Narrative Treatment of PTSD in Torture Victims
ClinicalTrials.gov study NCT00563888. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Deep Neural Networks on the Accuracy of Skin Disease Diagnosis in Non-Dermatologists
ClinicalTrials.gov study NCT04636164. IPD Sharing: NO. Countries: 1. Publications: 7.
Hill-grade Knowledge Via Integrated Neural-network for Gastroscopy
ClinicalTrials.gov study NCT06040723. IPD Sharing: NO. Countries: 1. Publications: 1.
Neural Network-based Treatment Decision Support Tool in Patients With Refractory Solid Organ Malignancies
ClinicalTrials.gov study NCT05719428. IPD Sharing: NO. Countries: 1. Publications: 8.
Assessing the Precision of Convolutional Neural Networks for Dental Age Estimation From Panoramic Radiographs
ClinicalTrials.gov study NCT05901857. IPD Sharing: UNDECIDED. Countries: 1. Publications: 10.
Early Discrimination of Periprosthetic Hip Infections Using Neural Networks (SEPTIC-ANNR)
ClinicalTrials.gov study NCT04119804. IPD Sharing: NO. Countries: 1. Publications: 11.
Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
ClinicalTrials.gov study NCT05245695. IPD Sharing: NO. Countries: 1. Publications: 3.
TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models
ClinicalTrials.gov study NCT06372054. IPD Sharing: NO. Countries: 1. Publications: 2.
Neural Networks and Language Recovery in Aphasia From Stroke: fMRI Studies
ClinicalTrials.gov study NCT00467103. IPD Sharing: NO. Countries: 1. Publications: 7.
CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study
ClinicalTrials.gov study NCT00497640. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Evaluation With Artificial Neural Network of Pain Scales in Children (ANN)
ClinicalTrials.gov study NCT02682875. IPD Sharing: YES. Countries: 1. Publications: 1.
Validation of the Diabetes Deep Neural Network Score for Diabetes Mellitus Screening
ClinicalTrials.gov study NCT05303051. IPD Sharing: NO. Countries: 1. Publications: 1.
Transfer Learning of a Neural Network for Robotic Surgical Assessment
ClinicalTrials.gov study NCT06612606. IPD Sharing: YES. Countries: 1. Publications: 0.
Identification of Interscalene Brachial Plexus on Ultrasonography Using a Deep Neural Network
ClinicalTrials.gov study NCT04183972. IPD Sharing: NO. Countries: 1. Publications: 1.
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.