A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool adjusted R-squared outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover for each category (0, 20, 40, 60, 80, 100%). Each explanatory variable (year) was paired with the corresponding raster by pool. Curve Fit was used to estimate the linear relationship between year and pixel value (one relative abundance/percent cover value per year) and create an output raster containing parameter estimates, model error, and r2. The adjusted R-squared is a modified version of R-squared that has been adjusted for the number of predictors in the model. Outputs were developed at two temporal scales: 1998-2019 and 2010-2019.