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ShareScore release 0.9.0
Dataset results
70 results for “Quality prediction”
Personality, as a Predictive Factor of Therapeutic Response on Quality of Life After Continuous Perfusion of Dopaminergic Drugs, in Parkinson's Disease
ClinicalTrials.gov study NCT03793491. IPD Sharing: NO. Countries: 1. Publications: 0.
Predictive Elements of Trauma and Its After-effects: Importance of the Quality of Neurobiological Response to Stress
ClinicalTrials.gov study NCT04530214. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Identification of Pre-surgical Phenotypic Indicators Predictive of Quality of Life Trajectories in Obese Patients Following Bariatric Surgery
ClinicalTrials.gov study NCT06951893. IPD Sharing: NO. Countries: 1. Publications: 0.
Validating the Use of Frailty Measurements to Predict Care & Quality of Life
ClinicalTrials.gov study NCT06325241. IPD Sharing: NO. Countries: 1. Publications: 0.
Development and Validation of Interpretable Machine Learning Models Incorporating Paraspinal Muscle Quality for to Predict Cage Subsidence Risk Followingposterior Lumbar Interbody Fusion
ClinicalTrials.gov study NCT06888739. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study of Barrett's Esophagus Patients to Investigate Quality of Life and Fear of Cancer, and Optimize a Risk Model Based on Biomarkers and New Technologies to Better Predict the Development of Cance
ClinicalTrials.gov study NCT06523374. IPD Sharing: Not stated. Countries: 6. Publications: 0.
Vertebral Bone Quality and Prediction of Screw Loosening in Spine Fusion
ClinicalTrials.gov study NCT03650855. IPD Sharing: NO. Countries: 1. Publications: 0.
Predicting segmentation quality in laryngeal videoendoscopy
Open the record for dataset details and reuse information.
Machine Learning for Predicting and Managing Quality of Life in Lung Cancer Immunotherapy Patients
ClinicalTrials.gov study NCT06725225. IPD Sharing: NO. Countries: 0. Publications: 0.
Machine Learning solution for machining quality prediction using acoustic emissions, accelerometers and current data
<p>This outcome contains the dataset used to train tool wear & quality prediction algorithms in a milling context. The data model is composed of three data sources (acoustics emission, accelerometers & currents). The acoustics emissions and accelerometers are recorded on an external machine which needs a post-synchronization. The currents are recorded by the system that directly monitors the machine.</p> <p><em>Acoustics emission (file: toolwear_2020_ae.zip):</em> In a previous data acquisition (not published), the acoustic emission was recorded using three sensors (on the raw part, on the axis closest to the part & outside the machine), but in this dataset, it is only composed of one sensor positioned inside the machine. The sampling rate is 200kHz.</p> <p><em>Accelerometers (file: toolwear_2020_acc.zip):</em> The accelerometer dataset is composed of nine different sensors with an acquisition frequency of 20kHz. One signal is dedicated to the synchronization between other data sources (acoustics emission & currents). Five signals are installed on the spindle axis, two (XY directions) on the top of the spindle and three (XYZ directions) on the bottom of the axis. The last three (XYZ directions) are located on the axis nearest to the part.</p> <p><em>Currents (file: toolwear_2020_axes.zip):</em> The machine is composed of five axes and one spindle. For each motor, the current is acquired and stored into the monitoring system of the CNC. The frequency data acquisition is 1kHz.</p>
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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.