Active evaporative cooling by ultrasonic humidification, refrigeration and traditional storage of potato (Solanum tuberosum L., cv. Spunta) in a hot Mediterranean climate: a reproducible hierarchy across four campaigns (2022–2025)

This dataset supports the article "Active evaporative cooling by ultrasonic humidification, refrigeration and traditional storage of potato (Solanum tuberosum L., cv. Spunta) in a hot Mediterranean climate: a reproducible hierarchy across four campaigns (2022-2025)" (CTPTA, Manouba-Essaida, Tunisia), submitted to the Journal of Agriculture and Food Research (Elsevier). It contains three components: 1) 17 raw IoT sensor workbooks (2024-2025), recording temperature, relative humidity, tuber core temperature and CO2 inside the 7 degrees C cold room, the ultrasonic humidification chamber, the traditional greenhouse storage, and an outdoor reference node. 2) iot_processing.py - the Python/pandas script that cleans these raw records , derives the vapour pressure deficit and wet-bulb temperature, and aggregates them into the values reported in the manuscript (Section 3.12, Table 14, Figure 11 and the supplementary tables). 3) Figures_Data_Fig3_a_Fig11.xlsx - the data underlying Figures 3 to 11 of the manuscript, one sheet per figure, with the exact values plotted, their source, and a verification note against the published manuscript values. Storage mode codes used throughout: 7C = refrigeration at 7 degrees C; H = ultrasonic humidification; Trad = traditional (greenhouse) storage. Running iot_processing.py on the 17 workbooks in this deposit fully reproduces the sensor-derived figures and tables of the manuscript. Keywords: potato, Solanum tuberosum, post-harvest storage, evaporative cooling, ultrasonic humidification, vapour pressure deficit, IoT monitoring, weight loss.