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122
datasets available to search
ShareScore release 0.7.1
Dataset results
122 results for “Monitoring methods”
Evaluation of Different Methods of Ultrasound Image Analysis for Real-time Monitoring of HIFU Prostate Cancer Treatment
ClinicalTrials.gov study NCT05714774. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Teaching Electronic Fetal Monitoring to Midwifery Students With Peer Teaching Method
ClinicalTrials.gov study NCT06772389. IPD Sharing: NO. Countries: 1. Publications: 0.
Performance Comparison of a New Fetal/Maternal Monitor With an FDA-cleared Method
ClinicalTrials.gov study NCT01889316. IPD Sharing: Not stated. Countries: 1. Publications: 0.
LC-MS/MS Based Method Development for the Monitoring of Antibiotic Concentrations in Sputum of Cystic Fibrosis Patients
ClinicalTrials.gov study NCT02840136. IPD Sharing: YES. Countries: 1. Publications: 0.
Non-Invasive Monitoring Methods in Patients With Acute Brain Injury
ClinicalTrials.gov study NCT06504238. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Effectiveness of Teaching Method With Simulation in Electronic Fetal Monitoring Management
ClinicalTrials.gov study NCT05904314. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of Glucose Monitoring Methods: Characterizing Glycemic Control in Subjects With Diabetes
ClinicalTrials.gov study NCT00805506. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Weight Reduction With the Low-Insulin-Method - Self Monitoring of Breath Acetone
ClinicalTrials.gov study NCT06745362. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: A machine learning method to monitor China’s AIDS epidemics with data from Baidu Trends
Open the record for dataset details and reuse information.
Data from: Evaluating NGS methods for routine monitoring of wild bees: metabarcoding, mitogenomics or NGS barcoding
Open the record for dataset details and reuse information.
Automatic and Conventional Methods of Hypertensive Patients Monitoring
ClinicalTrials.gov study NCT06929728. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Non-invasive Monitoring of Mixed Venous Oxygen Saturation Using the Capnodynamic Method in Adults
ClinicalTrials.gov study NCT06632197. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Developing a Method Using PET-MR to Improve Staging and Monitoring of Neuroendocrine Tumor
ClinicalTrials.gov study NCT04154241. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
A Comparison of Three Methods of Hemoglobin Monitoring in Pediatric Patients
ClinicalTrials.gov study NCT03624140. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparing Two Methods of Contractions Monitoring for Clinical Decision Making Regarding Treatment Among Pregnant Women With Preterm Contractions.
ClinicalTrials.gov study NCT02875418. IPD Sharing: NO. Countries: 0. Publications: 0.
To Compare the Efficacy Between 3 Fetal Monitoring Methods (EUM)
ClinicalTrials.gov study NCT02864225. IPD Sharing: NO. Countries: 0. Publications: 0.
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
This paper explores how the remaining useful life (RUL) can be assessed for complex systems whose internal state variables are either inaccessible to sensors or hard to measure under operational conditions. Consequently, inference and esti- mation techniques need to be applied on indirect measurements, anticipated operational conditions, and historical data for which a Bayesian statistical approach is suitable. Models of electrochem- ical processes in the form of equivalent electric circuit parame- ters were combined with statistical models of state transitions, aging processes, and measurement fidelity in a formal frame- work. Relevance vector machines (RVMs) and several different particle filters (PFs) are examined for remaining life prediction and for providing uncertainty bounds. Results are shown on battery data.1 Index Terms—Battery health, Bayesian learning, particle filter, prognostics, relevance vector machine, remaining useful life.
Rotor health monitoring combining spin tests and data-driven anomaly detection methods
Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length, while acting in a neutral form upon the overall performance of the engine system. Efforts are under way at NASA Glenn Research Center through support of the Intelligent Vehicle Health Management Project (IVHM) to develop and implement such sensor technology for a wide variety of applications. These efforts are focused on developing high temperature, wireless, low cost, and durable products. In an effort to address technical issues concerning health monitoring, this article considers data collected from an experimental study using high frequency capacitive sensor technology to capture blade tip clearance and tip timing measurements in a rotating turbine engine-like-disk to detect the disk faults and assess its structural integrity. The experimental results composed at a range of rotational speeds from tests conducted at the NASA Glenn Research Center’s Rotordynamics Laboratory are evaluated and integrated into multiple data-driven anomaly detection techniques to identify faults and anomalies in the disk. In summary, this study presents a select evaluation of online health monitoring of a rotating disk using high caliber capacitive sensors and demonstrates the capability of the in-house spin system.
A chemical genetic method for monitoring genome-wide dynamics of O-GlcNAc turnover on chromatin-associated proteins.
GEO Series GSE124785. Drosophila melanogaster. 38 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
On-line Solid Phase Extraction High Performance Liquid Chromatography Method Coupled with Tandem Mass Spectrometry for the Therapeutic Monitoring of Cannabidiol and 7-Hydroxy-cannabidiol in Human Serum and Saliva
<p>This database includes the raw data linked with the paper “On-line Solid Phase Extraction High Performance Liquid Chromatography Method Coupled with Tandem Mass Spectrometry for the Therapeutic Monitoring of Cannabidiol and 7-Hydroxy-cannabidiol in Human Serum and Saliva".</p> <p>Cannabidiol is a novel antiseizure medication approved in Europe and the US for the treatment of seizures associated with Lennox-Gastaut syndrome, Dravet syndrome and tuberous sclerosis complex. We describe in this article a new and simple liquid chromatography-mass spectrometry method (LC-MS/MS) for the determination of cannabidiol and its active metabolite 7-hydroxy-cannabidiol in microvolumes of serum and saliva (50 μL), to be used as a tool for therapeutic drug monitoring (TDM) and pharmacokinetic studies. After on-line solid phase extraction cannabidiol, 7-hydroxy-cannabidiol and the internal standard cannabidiol-d3 are separated on a monolithic C18 column under gradient conditions. Calibration curves are linear within the validated concentration range (10-1000 ng/mL for cannabidiol and 5-500 ng/mL for 7-hydroxy-cannabidiol).</p> <p>The method is accurate (intraday and interday accuracy within 94-112% for cannabidiol, 91-109% for 7-hydroxy-cannabidiol), precise (intraday and interday precision <11.6% for cannabidiol and <11.7% for 7- hydroxy-cannabidiol) and sensitive, with a LOQ of 2.5 ng/mL for cannabidiol and 5 ng/mL for 7-hydroxy-cannabidiol. The stability of the analytes was confirmed under different storage conditions. Extraction recoveries were in the range of 81-129% for cannabidiol and 100-113% for 7-hydroxy-cannabidiol.</p> <p>The applicability of the method to TDM was demonstrated by analysis of human serum and saliva samples obtained from patients with epilepsy treated with cannabidiol.</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.