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ShareScore release 0.7.1
Dataset results
155 results for “accelerometers”
Physical Activity Measured Through Accelerometers and Its Association With Endothelial Function in Young Patients With Fontan Physiology
ClinicalTrials.gov study NCT02938429. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Comparison of Accelerometers for Measuring Daily Activity in Sarcoid
ClinicalTrials.gov study NCT02626897. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Measuring Sedation in the Intensive Care Unit Using Wireless Accelerometers
ClinicalTrials.gov study NCT02529696. IPD Sharing: NO. Countries: 1. Publications: 0.
Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water
ClinicalTrials.gov study NCT05736302. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Level of Accelerometer-assessed Preoperative Physical Activity and Short Term Outcome After Elective Cardiac Surgery
ClinicalTrials.gov study NCT04140331. IPD Sharing: NO. Countries: 1. Publications: 0.
Respiratory Measurement of Volume Change Using Accelerometer, Thermographic Camera Electrical Impedance Tomography and Motion Correlation Analysis Using Mattress Sensor in Healthy Individuals
ClinicalTrials.gov study NCT04964245. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Effect of Accelerometer Guided App Feedback on Change in Activity in Patients With Low Back
ClinicalTrials.gov study NCT04695912. IPD Sharing: NO. Countries: 1. Publications: 0.
Accelerometers' Validity in Counting Number of Steps in the Elderly Subjects Before Discharge From Rehabilitation Units
ClinicalTrials.gov study NCT03703011. IPD Sharing: NO. Countries: 1. Publications: 0.
Developing a Falls Prediction Tool Using Both Accelerometer and Video Gait Analysis Data in Older Adults
ClinicalTrials.gov study NCT04354623. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of Wrist Worn Accelerometers in End-Stage Renal Disease
ClinicalTrials.gov study NCT04860440. IPD Sharing: NO. Countries: 1. Publications: 0.
3-Dimensional Accelerometer Sub-Study
ClinicalTrials.gov study NCT01612689. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data
Open the record for dataset details and reuse information.
Data from: A novel biomechanical approach for animal behaviour recognition using accelerometers
Open the record for dataset details and reuse information.
Haemodynamic Abnormalities Recorded With Cardiac Catheterization Along With Body's Surface Micro-accelerometers (KT-KCG)
ClinicalTrials.gov study NCT03821766. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
MGS ACCELEROMETER RAW DATA RECORDS V1.0
All level zero accelerometer data are packaged by periapsis number for each aerobraking orbit. Each orbit is identified by a folder with name Pyyyy where 'yyyy' is the four digit periapsis number. Level 0 z-axis accelerometer data are provided every 0.1 seconds during an interval of time that generally assures that the initial and final data points are taken at least 200 km above the surface of Mars. Additional data, required to reduce accelerometer counts to acceleration on the spacecraft, are provided at lower sampling rates.
MAVEN Accelerometer Data
This bundle contains the data collected by the Accelerometers and Reaction Wheels (ACCEL) aboard the Mars Atmosphere and Volatile EvolutioN (MAVEN) satellite, along with the documents and other information necessary for the interpretation of that data.
MGS ACCELEROMETER RAW DATA RECORDS V1.1
All level zero accelerometer data are packaged by periapsis number for each aerobraking orbit. Each orbit is identified by a folder with name Pyyyy where 'yyyy' is the four digit periapsis number. Level 0 z-axis accelerometer data are provided every 0.1 seconds during an interval of time that generally assures that the initial and final data points are taken at least 200 km above the surface of Mars. Additional data, required to reduce accelerometer counts to acceleration on the spacecraft, are provided at lower sampling rates.
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>
ODY ACCELEROMETER RAW DATA RECORDS V2.0
Unknown
ODY ACCELEROMETER PROFILE DATA RECORDS V2.0
Unknown
ScienceDex guides
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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.