This dataset presents species occurrence data for 39 invasive alien species that are listed in four batches by the Chinese government. These data were generated as part of the study: Potential distribution and future shifts of invasive alien plants in China under climate change. For detailed methodologies and context, please refer to the original publication: Ren, W., Peng, J., Shrestha, N., Bian, Z., Yang, Y., Liu, J., ... & Wu, J. (2025). Potential distribution and future shifts of invasive alien plants in China under climate change. Global Ecology and Conservation, e03601 (https://doi.org/10.1016/j.gecco.2025.e03601).

This dataset presents species occurrence data for 39 invasive alien species that are listed in four batches by the Chinese government. These data were generated as part of the study: Potential distribution and future shifts of invasive alien plants in China under climate change. For detailed methodologies and context, please refer to the original publication: Ren, W., Peng, J., Shrestha, N., Bian, Z., Yang, Y., Liu, J., ... & Wu, J. (2025). Potential distribution and future shifts of invasive alien plants in China under climate change. Global Ecology and Conservation, e03601 (https://doi.org/10.1016/j.gecco.2025.e03601).

This dataset presents species occurrence data of 39 invasive alien species that are listed in four batches of invasive alien species by the Chinese government.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.