A georeferenced dataset for grapevine phenology and phytosanitary monitoring across Italy

Open and georeferenced datasets integrating crop phenology, disease dynamics, pest monitoring, and agronomic management remain scarce, despite their importance for calibrating predictive models and supporting plant health risk assessments. Here we describe the MIRA ('MonItoRAggio fitopatie') dataset, a georeferenced collection of field observations on grapevine (Vitis vinifera L.) acquired across a national monitoring network in Italy. The dataset comprises about 40,000 records collected between 2020 and 2025 from 77 monitoring vineyards using a dedicated mobile application. It is organized into six relational tables containing site metadata (location, administrative unit, and geographic coordinates), phenology (BBCH growth stages), disease symptom onset and intensity (incidence and severity), pest monitoring (trap captures), and plant protection treatments (date, type, and product). Data were collected by trained technicians following standardized protocols within the MISFITS initiative, a collaboration between CREA and several Italian regions establishing a harmonized national crop health monitoring network. By integrating multiple observation domains, the MIRA dataset provides a valuable resource for spatiotemporal analyses, epidemiological modelling, and decision support systems for sustainable viticulture.