A dataset of simulated spread trajectories of Cytospora canker in Xinjiang (2013–2022)

<p indent="0mm">Cytospora canker is one of the most serious among forestry diseases in Xinjiang, which has caused great losses to the forest and fruit industries. Based on field survey data, we identified the source sites of fungal release within the epidemic area of Cytospora canker. Leveraging global reanalysis meteorological data provided by the National Oceanic and Atmospheric Administration (NOAA) of the United States, we adopted the HYSPLIT model and simulated trajectories with MeteoInfo software to trace the spread of Cytospora canker fungus spore propagation via airflow from March to October during 2013-2022, with 48-hour forward trajectories at the 22 fungus source locations, computed for four daily intervals (00:00, 06:00, 12:00, and 18:00). The month-by-month trajectory files were then merged to generate seasonal trajectory data for spring, summer and fall, finally forming this dataset ultimately. The reliability and scientific validity of the dataset was ensured through multiple validation methods during the data processing. This dataset is of great reference value for studying the range, characteristics, and patterns of remote transmission of Cytospora canker via airflow in Xinjiang, and developing monitoring, prevention and control strategies for Cytospora canker in the region.