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Dataset results
18 results for “Sensor Characterization”
Data and code related to the article "Characterization of the Log-normal Model for Received Signal Strength Measurements in Real Wireless Sensor Networks"
<p>This upload contains the data and code related to the article "Characterization of the Log-normal Model for Received Signal Strength Measurements in Real Wireless Sensor Networks", (D.O.I: <a href="https://doi.org/10.3390/jsan9010012">10.3390/jsan9010012</a>) published in the the special issue on "Localization in Wireless Sensor Networks" of the <a href="https://www.mdpi.com/journal/jsan"><em>Journal of Sensor and Actuator Networks</em></a> (ISSN 2224-2708).</p> <p>The data and code included allows to replicate the results of the article.</p>
Data and code for figures: Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications
<p>This directory contains the datasets, code (if applicable) for measurement libraries, data processing and figure generation for the research article "Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications", Beilstein J. Nanotechnol. 2024, 15, 242-255.</p>
Data accompanying: Performance characterization of low-cost air sensors for off-grid deployment in rural Malawi
<p>Low-cost gas and particulate sensor packages offer a compact, lightweight, and easily transportable solution to address global gaps in air quality (AQ) observations. However, regions that would benefit most from widespread deployment of low-cost AQ monitors often lack the reference grade equipment required to reliably calibrate and validate them. In this study, we explore approaches to calibrating and validating three integrated sensor packages before a one year deployment to rural Malawi using collocation data collected at a regulatory site in North Carolina, USA. We compare the performance of five computational modelling approaches to calibrate the electrochemical gas sensors: k-Nearest Neighbor (kNN) hybrid, random forest (RF) hybrid, high-dimensional model representation (HDMR), multilinear regression (MLR), and quadratic regression (QR). For the CO, O<sub>x</sub>, NO, and NO2 sensors, we found that kNN hybrid models returned the highest coefficients of determination and lowest error metrics when validated. Hybrid models also were the most transferable approach when applied to deployment data collected in Malawi. We compared kNN-hybrid calibrated CO observations from two regions in Malawi to remote sensing data and found qualitative agreement in spatial and annual trends. However, ARISense monthly mean surface observations were 2 to 4 times higher than the remote sensing data, due to proximity to residential biomass combustion activity not resolved by satellite imaging. We also compared the performance of the integrated Alphasense OPC-N2 optical particle counter to a filter-corrected nephelometer using collocation data collected at one of our deployment sites in Malawi. We found the performance of the OPC-N2 varied widely with environmental conditions, with the worst performance associated with high relative humidity (RH > 70%) conditions and influence from emissions from nearby residential biomass combustion. We did not find obvious evidence of systematic sensor performance decay after the one year deployment to Malawi. Data recovery (30-80%) varied by sensor and season and was limited by insufficient power and access to resources at the remote deployment sites. Future low-cost sensor deployments to rural Sub-Saharan Africa would benefit from adaptable power systems, standardized sensor calibration methodologies, and increased regional regulatory grade monitoring infrastructure. </p>
DATASET: Water Phantom Characterization of a Novel Optical Fiber Sensor for LDR Brachytherapy
<p>Dataset for the journal article "Water Phantom Characterization of a Novel Optical Fiber Sensor for LDR Brachytherapy"</p>
Data accompanying: Performance characterization of low-cost air sensors for off-grid deployment in rural Malawi
Open the record for dataset details and reuse information.
Structural Health Monitoring via Thermoelastic Stress Analysis with low-cost sensors for the characterization of composite GFRP materials
Open the record for dataset details and reuse information.
Characterization of the Postural Habits of Wheelchair Users Analysis of the Acceptability of International Recommendations in the Prevention of Pressure Sores Risk by Using a Connected Textile Sensor
ClinicalTrials.gov study NCT04335942. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Synthesis and characterization of azo-guanidine based alcoholic media naked eye DNA sensor
DNA sensing always has an open meadow of curiosity for biotechnologists and other researchers. Recently, in this field, we have introduced an emerging class of molecules containing azo and guanidine functionalities. In this study, we have synthesized three new compounds (UA1, UA6 and UA7) for potential application in DNA sensing in alcoholic medium. The synthesized materials were characterized by elemental analysis, FTIR, UV-visible, 1H NMR and 13C NMR spectroscopies. Their DNA sensing potential were investigated by UV-visible spectroscopy. The insight of interaction with DNA was further investigated by electrochemical (cyclic voltammetry) and hydrodynamic (viscosity) studies. The results showed that compounds have moderate DNA binding properties, with the binding constants range being 7.2 × 103, 2.4 × 103 and 0.2 × 103 M−1, for UA1, UA6 and UA7, respectively. Upon binding with DNA, there was a change in colour (a blue shift in the λmax value) which was observable with a naked eye. These results indicated the potential of synthesized compounds as DNA sensors with detection limit 1.8, 5.8 and 4.0 ng µl−1 for UA1, UA6 and UA7, respectively.
Data from: Synthesis and characterization of azo-guanidine based alcoholic media naked eye DNA sensor
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Sensor-based Characterization of Depression
ClinicalTrials.gov study NCT04370002. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Using Smartphone Sensor Technology to Characterize Ambulatory Patterns of Participants With Peripheral Artery Disease
ClinicalTrials.gov study NCT04124315. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of Inertial Sensors to Characterize the Fatigability of Post-stroke Hemiplegic Patients
ClinicalTrials.gov study NCT05793047. IPD Sharing: NO. Countries: 1. Publications: 0.
Tactile Breast Imaging Sensor for Tumor Malignancy Characterization
ClinicalTrials.gov study NCT02603211. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Characterization of sensor-specific stress response by transcriptional profiling of wsc1 and mid2 deletion strains and chimeric sensors in Saccharomyces cerevisiae
GEO Series GSE22458. Saccharomyces cerevisiae. 32 samples. Type: Expression profiling by array.
An Observational Prospective Study to Characterize Patients Initiating Enerzair® Breezhaler®, With or Without Sensor, as a Maintenance Treatment for Asthma
ClinicalTrials.gov study NCT05120986. IPD Sharing: NO. Countries: 0. Publications: 0.
Eyelid Movement Sensor Device- Blinking Characterizing
ClinicalTrials.gov study NCT02309814. IPD Sharing: Not stated. Countries: 0. Publications: 0.
EGG Sensor for Oocyte Characterization
ClinicalTrials.gov study NCT06497998. IPD Sharing: YES. Countries: 0. Publications: 0.
Systematic characterization of indel variants using a yeast-based protein folding sensor
GEO Series GSE270811. synthetic construct. 73 samples. Type: Other.
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.