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Historical weather data from 2004–2023 for 77 sites across 13 Middle Eastern countries was used to simulate grain aeration effectiveness and model rice weevil (S. oryzae) populations. The dataset includes spatially interpolated calculations of accumulated daily hours below specific temperature thresholds (15, 18, and 21°C) for key months. It was generated by the Department of Agriculture using inverse distance weighted interpolation in QGIS.
Data is simulated for research on grain aeration and pest management; actual observed pest population or aeration outcome data is not included. License is CC Zero.