Impact of climate on a host-hyperparasite interaction on Arabica coffee in its native range

Usage Notes These datasets were collected in Gomma and Gera districts in southwestern Ethiopia at 58 sites during the dry and rainy seasons (2018–2020). Details for each dataset are provided in the README file. Datasets included: 1) Microclimate variables Average daily minimum temperature (°C): for each year was calculated by averaging the minimum temperature for both the dry (November to February) and rainy (April to July) seasons. Average daily maximum temperature (°C): for each year was calculated by averaging the maximum temperature for both the dry (November to February) and rainy (April to July) seasons. Monthly average of the daily mean relative humidity (%): for each year was calculated by averaging the relative humidity for both the dry (November to February) and rainy (April to July) seasons. 2) Coffee leaf rust and its hyperparasite Coffee leaf rust severity (%): the percentage of rust on a per-leaf basis of all leaves for both the dry and rainy seasons. Hyperparasite-to-rust ratio (%): the average percentage of rust covered by the hyperparasite for both the dry and rainy seasons. Hyperparasite severity (%): the percentage of hyperparasite on a per-leaf basis of all leaves, irrespective of whether they had rust or not, both for the dry and rainy seasons. 3) Canopy cover (%): was assessed based on five canopy pictures taken above coffee height and analysed using ImageJ software as the percentage of black pixels. The average of the five canopy cover percentages was used as a canopy cover (%) per site. 4) Elevation (m.a.s.l): was measured using Garmin GPS at the center of each plot.