The Advanced Baseline Imager (ABI) on GOES-R will represent a technological leap in weather and environmental satellite capabilities. With 16 spectral bands, faster data rates, and improvements in resolution, signal to noise and calibration accuracy over the current imager. Preparing users for what lay ahead is a task being tackled by various research groups. At the Cooperative Institute for Meteorological Satellite Studies (CIMSS) multiple data sets are being generated in an effort to meet the needs of various GOES-R Algorithm Working Group (AWG) science teams. Parallel efforts are underway to provide simulated Advanced Baseline Imager (ABI) data from both existing satellite assets and from the Weather Research Forecast (WRF) model. Simulations from the WRF are being produced at multiple resolutions and time intervals to simulate ABI scanning scenarios such as 15 minute full disk and 5 minute Continental US (CONUS) modes. WRF model simulations are turned into ABI imagery using a forward radiative transfer model that incorporates both clear and cloudy-sky properties and a reflected component for the shortwave and visible bands. Some simulated datasets contain simulated instrument effects such as striping, random noise, and navigation shifts. A sophisticated remapping technique is being used to simulate the ABI from MODerate-resolution Imaging Spectroradiometer (MODIS) data. Most of the ABI spectral bands have similar counter-parts on MODIS and this technique involves remapping the MODIS to a presumed ABI projection, 2 km resolution at nadir (assumed to be at 75 W), and applying a point spread function. This poster will highlight the simulated datasets available so far, show what datasets are planned for the immediate future, and discuss possible avenues of future development into improving techniques.