The LakeCat Dataset provides summaries of watershed features for 378,088 lakes within the conterminous USA and provides several hundred watershed-level metrics that summarize both natural (e.g., soils, geology, climate, and land cover) and anthropogenic (e.g., urbanization, agriculture, and mines) features. This dataset is associated with the following publication: Hill, R., M. Weber, R. Debbout, S. Leibowitz, and T. Olsen. The Lake-Catchment (LakeCat) Dataset: Characterizing landscape features for lake basins within the conterminous USA. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 37: 208-221, (2018).

The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. This dataset is associated with the following publications: Hill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 9, (2015). Hill, R., E. Fox, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Predictive Mapping of the Biotic Condition of Conterminous-USA Rivers and Streams. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 27(8): 2397-2415, (2017). Fox, E., R. Hill, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 189(316): 1-20, (2017). Thornbrugh, D., S. Leibowitz, R. Hill, M. Weber, Z. Johnson, T. Olsen, J. Flotemersch, J. Stoddard, and D. Peck. Mapping watershed integrity for the conterminous United States... ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 85: 1133-1148, (2018).

The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. This dataset is associated with the following publications: Hill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 9, (2015). Hill, R., E. Fox, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Predictive Mapping of the Biotic Condition of Conterminous-USA Rivers and Streams. ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 27(8): 2397-2415, (2017). Fox, E., R. Hill, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 189(316): 1-20, (2017). Thornbrugh, D., S. Leibowitz, R. Hill, M. Weber, Z. Johnson, T. Olsen, J. Flotemersch, J. Stoddard, and D. Peck. Mapping watershed integrity for the conterminous United States... ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 85: 1133-1148, (2018).

The National Aquatic Resource Surveys National Lakes Assessment data contain lake conductivity information at lakes in the contiguous United States. The LakeCat data contain watershed metrics for lakes in the contiguous United States. This dataset is associated with the following publication: Dumelle, M., J. Ver Hoef, A. Handler, R. Hill, M. Higham, and A. Olsen. Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data. Spatial Statistics. Elsevier Ltd, Oxford, UK, 59: 100808, (2024).

This dataset represents the base flow index values within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The base-flow index (BFI) grid for the conterminous United States was developed to estimate (1) BFI values for ungaged streams, and (2) ground-water recharge throughout the conterminous United States (see Source_Information). Estimates of BFI values at ungaged streams and BFI-based ground-water recharge estimates are useful for interpreting relations between land use and water quality in surface and ground water. The bfi (%) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.

The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. This dataset is associated with the following publication: Hill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 9, (2015).

The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. This dataset is associated with the following publication: Hill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 9, (2015).

This dataset represents the elevation values within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Elevation Dataset. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. NHDPlusV2 records NED snapshot dates as follows: August 2010 - VPU04 February 2011 - VPUs 05, 06 June 2011 - VPU 17 August 2011 - VPUs 07, 10L, 10U, 11, 18 December 2011 - VPUs 01, 02, 03N, 03S, 03W, 08, 09, 12, 13, 14, 15, 16 The elevation characteristics were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents the impervious surface coefficients within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Land Cover Data. AOI boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-AOI boundaries and then links them through an off-network flow table. This data set is derived from the NLCD Impervious Surfaces raster which describes percent imperviousness (continuous data type). Values indicate the degree to which the area is composed of impervious anthropogenic materials (e.g., parking surfaces, roads, building roofs). This raster was produced based on a decision-tree classification of 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Landsat satellite data. This dataset will include additional years as they become available.

This dataset represents the estimated surface water runoff within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper "Independent effects of temperature and precipitation on modeled runoff in the conterminous United States". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month. The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.