This tabular data set contains decadal information on dams compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for dam information was produced by the United States Army Corps of Engineers. The information provided here contains the number of dams (both major and minor), dam storage (acre feet) and decade of construction compiled as described above. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This dataset describes attributes of surface-water impoundments derived from the National Inventory of Dams (NID), National Land Cover Data (NLCD) and the National Hydrography Dataset Plus (NHDPlus). Reservoir surface areas were determined using National Inventory of Dams Reservoir Surface area, NHDPlus Waterbody area, and National Land Cover Data (NLCD) open water body area as data sources. National Inventory of Dams were indexed on NHDPlus V2.1 using several sources and methods which are described in detail in the Process_Description section. The open-water classification in the NLCD was used to extract open water areas.

This dataset describes attributes of surface-water impoundments derived from the National Inventory of Dams (NID), National Land Cover Data (NLCD) and the National Hydrography Dataset Plus (NHDPlus). Reservoir surface areas were determined using National Inventory of Dams Reservoir Surface area, NHDPlus Waterbody area, and National Land Cover Data (NLCD) open water body area as data sources. National Inventory of Dams were indexed on NHDPlus V2.1 using several sources and methods which are described in detail in the Process_Description section. The open-water classification in the NLCD was used to extract open water areas.

This dataset describes attributes of surface-water impoundments derived from the National Inventory of Dams (NID), National Land Cover Data (NLCD) and the National Hydrography Dataset Plus (NHDPlus). Reservoir surface areas were determined using National Inventory of Dams Reservoir Surface area, NHDPlus Waterbody area, and National Land Cover Data (NLCD) open water body area as data sources. National Inventory of Dams were indexed on NHDPlus V2.1 using several sources and methods which are described in detail in the Process_Description section. The open-water classification in the NLCD was used to extract open water areas.

This tabular data set represents the presence of six National Hydrography Dataset (NHD) high resolution waterbody types compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The six types of waterbodies presented here are: playa, ice mass, lake/pond, reservoir, swamp/marsh, and estuary. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the NHDPlus high resolution waterbodies produced by USGS , 2015. Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents the presence of six National Hydrography Dataset (NHD) high resolution waterbody types compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The six types of waterbodies presented here are: playa, ice mass, lake/pond, reservoir, swamp/marsh, and estuary. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the NHDPlus high resolution waterbodies produced by USGS , 2015. Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents the presence of six National Hydrography Dataset (NHD) high resolution waterbody types compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The six types of waterbodies presented here are: playa, ice mass, lake/pond, reservoir, swamp/marsh, and estuary. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the NHDPlus high resolution waterbodies produced by USGS , 2015. Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents the percent of Hydrologic Landscape Regions compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Hydrologic landscape regions of the United States" produced by the United States Geological Survey (Wolock, 2003). Units are percent. The "Hydrologic landscape regions of the United States" are a 20-class classification scheme of noncontiguous regions (HLRs) built on the basis of similarities in land-surface form, geologic texture, and climate characteristics (Wolock, 2003). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents the percent of Hydrologic Landscape Regions compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Hydrologic landscape regions of the United States" produced by the United States Geological Survey (Wolock, 2003). Units are percent. The "Hydrologic landscape regions of the United States" are a 20-class classification scheme of noncontiguous regions (HLRs) built on the basis of similarities in land-surface form, geologic texture, and climate characteristics (Wolock, 2003). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents the percent of Hydrologic Landscape Regions compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Hydrologic landscape regions of the United States" produced by the United States Geological Survey (Wolock, 2003). Units are percent. The "Hydrologic landscape regions of the United States" are a 20-class classification scheme of noncontiguous regions (HLRs) built on the basis of similarities in land-surface form, geologic texture, and climate characteristics (Wolock, 2003). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).