We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a minimum set of biologically plausible predictors. The global models were developed for each species using all global location data and pseudo-absences (PAs), excluding those found in Hawaiʻi, and using WorldClim2 bioclimatic variables (1 km) and were only fit and projected for Hawaiʻi. These models are available as both habitat suitability maps with pixel values ranging from 0 (low suitability) to 1 (high suitability); and as binary maps that separate areas of potential presence (1) from those where presence is not expected (0) based on the environmental predictors considered. This data set contains two global model 17 band geospatial raster stacks for the suitability and binary maps with one band per each of the 17 EMIP species selected.