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58
datasets available to search
ShareScore release 0.9.0
Dataset results
58 results for “glucose sensor”
Abbott Sensor Based Glucose Monitoring System Paediatric Study
ClinicalTrials.gov study NCT02388815. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Adult Accuracy Study of the Enlite 3 Glucose Sensor
ClinicalTrials.gov study NCT02246582. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Continuous Glucose Sensor Profiles in Non-Diabetic Subjects
ClinicalTrials.gov study NCT00717977. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Evaluation of the Accuracy of the Abbott Sensor Based Interstitial Glucose Monitoring System
ClinicalTrials.gov study NCT02073058. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PRECISE: A Prospective, Multi-Center Evaluation of the Accuracy of a Novel Continuous Implanted Glucose Sensor
ClinicalTrials.gov study NCT02154126. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Human Subcutaneous Inflammatory Response to Glucose Sensors
ClinicalTrials.gov study NCT05755243. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Model Predictive Control (MPC) Artificial Pancreas vs. Sensor Augmented Pump (SAP)/Predictive Low Glucose Suspend (PLGS) With Different Food Choices in the Outpatient Setting
ClinicalTrials.gov study NCT03767790. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessment of the Accuracy of Continuous Glucose Sensors in People With Diabetes Undergoing Haemodialysis
ClinicalTrials.gov study NCT03885362. IPD Sharing: NO. Countries: 1. Publications: 11.
Insulin Modelling Based on Plasma Glucose Measures Via a Minimally-Invasive Glucose Sensor
ClinicalTrials.gov study NCT06119035. IPD Sharing: NO. Countries: 1. Publications: 3.
Feasibility Study Using Run-to-Run Control to Optimize Continuous Glucose Sensor Bias
ClinicalTrials.gov study NCT02290600. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Studying the Effectiveness of Non-Invasive Glucose Sensors in Patients With Diabetes: The SENSOR Study
ClinicalTrials.gov study NCT02800044. IPD Sharing: NO. Countries: 1. Publications: 1.
Using Glucose Sensors to Prevent Hypoglycemia
ClinicalTrials.gov study NCT00554281. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Comparison Study of Prototype Continuous Glucose Sensors in the Intradermal and Subcutaneous Spaces
ClinicalTrials.gov study NCT01093833. IPD Sharing: NO. Countries: 1. Publications: 1.
Closing the Loop Between Glucose Sensor and Insulin Pump-developing an Algorithm
ClinicalTrials.gov study NCT00541515. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Effect of sensor location on continuous intraperitoneal glucose sensing in an animal model
In diabetes research, the development of the artificial pancreas has been a major topic since continuous glucose monitoring became available in the early 2000's. A prerequisite for an artificial pancreas is fast and reliable glucose sensing. However, subcutaneous continuous glucose monitoring carries the disadvantage of slow dynamics. As an alternative, we explored continuous glucose sensing in the peritoneal space, and investigated potential spatial differences in glucose dynamics within the peritoneal cavity. As a secondary outcome, we compared the glucose dynamics in the peritoneal space to the subcutaneous tissue. Eight-hour experiments were conducted on 12 anesthetised non-diabetic pigs. Four commercially available amperometric glucose sensors (FreeStyle Libre, Abbott Diabetes Care Ltd., Witney, UK) were inserted in four different locations of the peritoneal cavity and two sensors were inserted in the subcutaneous tissue. Meals were simulated by intravenous infusions of glucose, and frequent arterial blood and intraperitoneal fluid samples were collected for glucose reference. No significant differences were discovered in glucose dynamics between the four quadrants of the peritoneal cavity. The intraperitoneal sensors responded faster to the glucose excursions than the subcutaneous sensors, and the time delay was significantly smaller for the intraperitoneal sensors, but we did not find significant results when comparing the other dynamic parameters.
Use of Continuous Glucose Sensors by Adolescents With Inadequate Diabetic Control
ClinicalTrials.gov study NCT00945659. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sensor and Software Use for Improved Glucose Control in MDI Managed Diabetes
ClinicalTrials.gov study NCT01713348. IPD Sharing: Not stated. Countries: 1. Publications: 0.
New Glucose Sensor Pediatric
ClinicalTrials.gov study NCT01161043. IPD Sharing: NO. Countries: 1. Publications: 0.
PROMISE Study: An Evaluation of an Implantable Continuous Glucose Sensor up to 180 Days
ClinicalTrials.gov study NCT03808376. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness and Safety Study of the Abbott Sensor Based Glucose Monitoring Systems
ClinicalTrials.gov study NCT02283411. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.