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Some or all of the water and nutrient runoff from these watersheds is retained in the depressions, and either evaporates or infiltrates into groundwater, which means these areas have little to no effect on downstream water quality problems. The products of this analysis should be useful for many conservation planning activities, including identifying drainage paths that are susceptible to erosion, estimating watershed characteristics for drainage control practices, and selecting areas of a larger watershed where conservation practices are likely to have the greatest impact on downstream waters.Inputs: 1) LiDAR DEM (dem_dane_plus) created by merging 2017 Dane County LiDAR DEM with areas of adjacent counties\u2019 DEMs (acquired between 2011 and 2017) that intersect HUC12 watersheds that also intersect Dane County. The DEM was resampled from 2-ft horizontal resolution (in Dane County) and 5-ft resolution in adjacent counties to a common 2-m horizontal resolution and integer centimeter vertical units and projected in UTM Zone 16; 2) Culverts were digitized from the LiDAR DEM and 2017 aerial photography. 3) Stormsewers were acquired from municipalities and edited as needed to align with the DEM; 4) Runoff curve number (CNlow) raster produced with EVAAL; 5) Soils (gSSURGO) from ACPF database.Summary of processing steps (Python code is available on Github): 1) Run ACPF tools: a) Hydro conditioning: Cut DEM with culvert lines, fill depressions, calculate flow direction and accumulation, b) Flow paths: Define flow paths with 10 acre flow accumulation, c) Depressions: Define depressions in DEM above 20,000 sq ft in surface area; 2) Refine HUC12 boundary; 3) Delineate flow path and depression watersheds; 4) Define watershed topology through node intersections and LakeCat tool; 5) For each watershed, 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