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Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation from lidar derived 1 m rasters to objectively estimate the boundary roughness conditions...