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 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Mahmoud Wagih, University of Southampton Date of data collection: 3/2021- 6/2022 Information about geographic location of data collection: Southampton, UK -------------------------- SHARING/ACCESS INFORMATION -------------------------- 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. -------------------- DATA & FILE OVERVIEW -------------------- 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