Validation dataset for an integrated simulation framework for heat and mass transfer in soilless, naturally ventilated greenhouses with row crop growth

This dataset supports the validation results reported in the article "An integrated simulation framework for heat and mass transfer in soilless, naturally ventilated greenhouses with row crop growth". It contains the simulated and measured series for a commercial paprika greenhouse in the Republic of Korea over a 278-day cultivation cycle, from 14 February to 18 November 2023, at ten-minute resolution (40,032 records) together with hourly aggregates (6,672 records). Each simulated microclimate and control quantity is paired with the corresponding on-site record: Cropzone air temperature and relative humidity, the heating, ventilation, and vent-opening setpoints, and the thermal and shade screen positions. The external weather forcing and the simulated heating supply rate are also included; the latter is a model output for which no measured counterpart exists. A logging-gap flag and a ventilation-regime label are supplied so that the sample sizes reported in the article can be reproduced exactly (N = 39,962 ten-minute records and N = 6,656 hourly records). The deposit is scoped to the quantities that are compared against independent measurement; internal model intermediates that are not reported in the article are not included. The README documents the variable dictionary and the computation conventions required to reproduce the reported metrics, and verify.py recomputes every published evaluation metric directly from the two CSV files.