READ ME File For 'Dataset supporting the publication: Towards the Optimal Antenna-Based Wireless Sensing Strategy: An Ice Sensing Case Study'

Dataset DOI: 10.5258/SOTON/D2249

Date that the file was created: April, 2024

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GENERAL INFORMATION
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ReadMe Author: Mahmoud Wagih, University of Southampton 

Date of data collection: 3/2021- 6/2022

Information about geographic location of data collection: Southampton, UK


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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse: CC BY


This dataset supports the publication:
M. Wagih and J. Shi, 
"Toward the Optimal Antenna-Based Wireless Sensing Strategy: An Ice Sensing Case Study," 
IEEE Open Journal of Antennas and Propagation, 
vol. 3, pp. 687-699, 2022, 
doi: 10.1109/OJAP.2022.3182770.



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DATA & FILE OVERVIEW
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This dataset contains:

Raw data that explores angular radiation patterns, simulated gain changes vs. humidity (substrate E_r) and <...>sparameters.csv	as well as measured time-varying s-parameters of the antenna-based sensing system in different measurement setups. 

OJAP22_Ice_Sensing_Methodology_Data.zip

The data contains excel files:

-Antenna_Gain_simulations.csv
-Dipole Antenna Freezing TimeVariation.csv
-Humidity_sensitivity.csv
-Loop Antenna Freezing TimeVariations.csv
-Loop antenna in tube freezing.csv
-Loop antenna simulated patterns.csv
-Thickness calculations.csv