This dataset represents the pesticide use 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. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents the pesticide use within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. (see Data Sources for links to NHDPlusV2 data and USGS Data). The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents the pesticide use within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. (see Data Sources for links to NHDPlusV2 data and USGS Data). The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents total fresh surface-water withdrawals in agricultural land (L/day) within individual, local NHDPlusV2 catchments and upstream, contributing watersheds as described in DOI: 10.1016/j.scitotenv.2020.137661

This dataset represents total fresh surface-water withdrawals in agricultural land (L/day) within individual, local NHDPlusV2 catchments and upstream, contributing watersheds as described in DOI: 10.1016/j.scitotenv.2020.137661

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.

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.

This dataset represents the application of nitrogen within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based data published in EPA EnviroAtlas. 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. These data are based on county-scale estimates of N in the form of fertilizer, manure, or cultivated biological nitrogen fixation. The rasters used for this analysis were prepared for EnviroAtlas published datasets on agricultural nitrogen inputs. Links to data in each raster can be found in Data Sources below. The nitrogen characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents the application of nitrogen within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based data published in EPA EnviroAtlas. 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. These data are based on county-scale estimates of N in the form of fertilizer, manure, or cultivated biological nitrogen fixation. The rasters used for this analysis were prepared for EnviroAtlas published datasets on agricultural nitrogen inputs. Links to data in each raster can be found in Data Sources below. The nitrogen characteristics (kg N/ha/yr) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

This dataset represents geochemical or geophysical attributes in surface or near surface geology 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. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.