High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are an SSN object with catchment covariates, associated Python code and metadata.  At this point model development has not been initiated.