Lakes, ponds, streams, rivers, and other surface waters of the United States from the National Hydrography Database Plus version 2.1.

This USGS data release contains landscape variables representing anthropogenic disturbances to stream habitats and natural variables summarized within local and network stream catchments of the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) as well as a 90 meter local and network buffer of stream reaches throughout the conterminous U.S. The source datasets compiled and attributed to spatial units were identified as being: (1) consistent extent across the entire study area; (2) broadly representative of conditions in the past 20 years, and (3) of adequate spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment scale include measures of anthropogenic land uses, population density, roads, mines, water withdrawals, fertilizer use and nutrient yields on land that drain to rivers, and point-source pollution sites; whereas buffers were attributed with only land cover variables. In this data set, variable summaries are linked to catchments and buffers developed for the NHDPlusV2.1 using the ComID as the unique identifier. Catchment attributes are available for both local catchments (defined as the land area draining directly to a reach; attributes begin with "L_" prefix) and network catchments (defined by all upstream contributing catchments to the reach's outlet, including the reach's own local catchment; attributes begin with "N_" prefix). Like the catchment variables the buffer variables are labeled using a LB and NB prefix for local buffer and network buffer variables, respectively. Data are provided in comma separated value (CSV) and Parquet file formats. Parquet file format is provided to help facilitate faster download and read capabilities when using compatible packages in coding languages such as R and Python.

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.

The National Hydrography Dataset Plus, Version 2 (NHDPlusV2) is an attribute rich, digital hydrologic network for the Conterminous U.S. developed by the U.S. Environmental Protection Agency (EPA) and U.S. Geological Survey (USGS). SPAtially Referenced Regressions On Watershed attributes (SPARROW), is a process-based/statistical model that relies on a digital hydrologic network, like NHDPlusV2, in order to establish spatial relations between monitored contaminant loads, contaminant sources, and other watershed characteristics. The USGS National Water Quality Assessment (NAWQA) project adopted the medium-resolution NHDPlusV2 network as the primary framework supporting SPARROW modeling, and has become a unifying system for reporting hydrologic information. This metadata describes enhancements made to improve the routing capabilities and ancillary hydrologic attributes of NHDPlusV2 to support modeling and other hydrologic analyses. The resulting enhanced network is named E2NHDPlusV2_us.

This dataset contains summary tables of land cover from the Cropland Data Layer (CDL) for individual stream catchments of the conterminous United States from the National Hydrography Dataset Plus Version 2.1 (United States Department of Agriculture National Agricultural Statistics Service, 2024; McKay and others, 2012). These data were summarized from primarily 30 meter grid cell raster data for the years 2000 through 2022. This data release contains 23 parquet tables that can be linked to the NHD Plus v2 dataset using the COMID unique identifier and a column for each CDL land cover class. From 2008 onwards, these data are available for the conterminous United States. From 2000 to 2007, the CDL is only available for select states. For convenience, an additional parquet table is included with a column for COMID and columns containing a flag indicating whether CDL data exist for each year from 2000 through 2022. Parquet tables can be accessed using the "arrow" package in RStudio. An example command to open a file is: arrow::read_parquet(filepath, "cdl_2000_table.parquet"))

This USGS data release contains products that resulted from aquatic species distribution modeling in the United States on the National Hydrography Dataset Plus Version 2.1. Source data, supporting code and model results are documented in this data release. The file species_model_list.csv provides a list of most recent models for each combination of species, habitat, and region.

This USGS data release includes a shapefile of outlet point locations for selected 12-digit hydrologic units (HU12s) from the Watershed Boundary Dataset (WBD), dated August 13, 2020 (U.S. Geological Survey and others, 2020), draining to the Gulf of Mexico in the south-central and southeastern United States. The outlet locations were derived by combining the WBD boundaries with flow direction grids from the National Hydrography Dataset Plus (NHDPlus) v 2.1 (U.S. Environmental Protection Agency and U.S. Geological Survey, 2012). Most of the outlet locations were determined by finding the cell with highest flow accumulation from the NHDPlus flow-direction grids within each WBD HU12 boundary. Some locations were found to be inaccurate upon inspection, and other sources were used for the locations as described in the attribute description and process description sections of this document. A shapefile of the HU12 boundaries from the WBD (U.S. Geological Survey and others, 2020) for the study area also is included in this data release for comparison to outlet locations. References cited: U.S. Environmental Protection Agency and U.S. Geological Survey, 2012, National Hydrography Dataset Plus - NHDPlus, version 2.1, accessed August 2020 at https://res1nhdplusd-o-tcom.vcapture.xyz/NHDPlus/NHDPlusV2_data.php. U.S. Geological Survey, U.S. Department of Agriculture - Natural Resource Conservation Service, U.S. Environmental Protection Agency, and other Federal, State, and local partners, 2020, Watershed Boundary Dataset - WBD, accessed August 2020 at https://res1appsd-o-tnationalmapd-o-tgov.vcapture.xyz/viewer/.

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 data ...

This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networks intended to facilitate stream network analyses. Locations of falls were sourced from the World Waterfall Database (WWD, www.worldwaterfalldatabase.com), the US Forest Service Center for Aquatic Technology Transfer (acquired from Southeast Aquatic Barrier Inventory), and Geographic Names Information System (GNIS, https://geonames.usgs.gov). The coordinates and spatial attributes from source data were used to verify locations using The HydroLink Tool (https://maps.usgs.gov/hydrolink). The HydroLink Tool was also used to address locations (similar to the concept of street addresses) to both the National Hydrography Dataset Plus Medium Resolution Version 2.1 (1:100,000 scale)(NHDPlusV2.1) and National Hydrography Dataset High Resolution (1:24,000 scale)(NHD HR) geospatial stream networks. The development of this dataset did not impose strict fall definitions but instead compiled qualified falls as defined by sources while capturing characteristics when available to help users identify falls of interest for any given use case. More specifically there is a gradation of waterfalls represented in the dataset where general fall types are defined by source datasets but are not standardized by USGS staff.

Lakes, ponds, streams, rivers, and other surface waters of the United States from the National Hydrography Database Plus version 2.1.

Lakes, ponds, streams, rivers, and other surface waters of the United States from the National Hydrography Database Plus version 2.1.

This dataset represents the dam density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the National Anthropogenic Barrier Dataset (NABD). Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. The main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.

This dataset represents the dam density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Anthropogenic Barrier Dataset (NABD). 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 main objective of this project was to develop a dataset of large, anthropogenic barriers that are spatially linked to the National Hydrography Dataset Plus Version 1 (NHDPlusV1) for the conterminous U.S. to facilitate GIS analyses based on the NHDPlusV1/NHD and NID datasets. To meet this objective, Michigan State University conducted a spatial linkage of the point dataset of the 2009 National Inventory of Dams (NID) created by the U.S. Army Corps of Engineers (USACE) to the NHDPlusV1/NHD. The pool of dam data included were modified based on 1) dam removals that occurred after development of the 2009 NID and 2) the identification of duplicate dam records along state boundaries (cases where more than one state reported the same dam). The US Geological Survey (USGS) Aquatic GAP Program supported this work. The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.

Lakes, ponds, streams, rivers, and other surface waters of the United States from the National Hydrography Database Plus version 2.1.

This hybrid medium-resolution national hydrography dataset with river corridor attributes (NHD-RC) for the conterminous United States (CONUS) was created by merging lentic and lotic attributes from the high-resolution NHDPlus (U.S. Geological Survey, 2020) into the medium-resolution NHDPlus Version 2.1 (U.S. Geological Survey, 2016). NHD-RC includes attributes from an additional 5.4 million small pond features and 5 million kilometers of small streams beyond the approximately 123,000 lentic waterbodies and 4 million kilometers of larger streams and rivers accounted for NHDPlus Version 2.1. This hybrid approach permitted the use of the many attributes that have been linked to NHD by others, including land cover and dam inventories, to provide four distinct classes of medium- and high-resolution lentic waterbodies: (1) lakes, (2) reservoirs, (3) historic small ponds that were not intensively managed during the past century, and (4) managed small ponds that were constructed for water supply, farm use, or another management purpose. Small ponds located in upland positions without a defined and mapped flowline are also included. This hybrid dataset further advances the basis for improved and more comprehensive integrated modeling and analyses of river corridors.

This metadata record contains two tables with reported and calculated amounts of biosolids applied to agricultural land within the Chesapeake Bay watershed in 2023 at different scales. Included in the dataset are (1) mass of land-applied biosolids calculated for NHDPlus Version 2.1 (NHDPlusV2) reach catchments in 2023 and (2) actual amount of biosolids applied to land by county in 2023 reported by states for the Chesapeake Assessment Scenario Tool (CAST) model.

This USGS data release includes a comma separated value (CSV) file that contains 19 reach-based dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous United States. Dam metrics fall into three main categories: count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,140) primarily from the National Anthropogenic Barrier Dataset (NABD) 2012 that were spatially linked to the National Hydrography Dataset Plus version 2.1 (NHDPlusV2.1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV2.1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV2.1. Non-fluvial features representing lakes and reservoirs in the NHDPlusV2.1 are included (~300,000 features), however coastlines are excluded. For more details see the associated publication: Cooper, A.R., Infante, D.M., Daniel, W.M., Wehrly, K.E., Wang, L., Brenden, T.O. 2017. Assessment of dam effects for streams and fish assemblages of the conterminous USA. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2017.02.067

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This dataset provides estimates of residential septic tank densities at 12-digit Hydrologic Unit Code (HUC12), National Hydrography Dataset (NHD Plus version 2.1, 1:100k scale) catchment, and 2020 Census Block Group (version 2021) scale for the conterminous United States. Using United States Legacy Census data from the 1990s and the land use classification from the National Land Cover Database (NLCD), predictive thresholds for wastewater treatment types, such as septic or sewer systems, were developed and applied to the 2020 Census and 2019 NLCD data . The dataset contains three qualitative measures, e.g., High, Medium and Low density estimates, for sewer-supported areas and septic tanks by Census Block Groups using the predictive thresholds. Within areas predicted to be supported by septic tanks, a method was developed to estimate septic tank presence using building footprint datasets from Microsoft and the Federal Emergency Management System (FEMA) and parcel data from the Homeland Infrastructure Foundation-Level Data (HIFLD). The HIFLD parcel datasets contain sensitive information and are subject to data use agreements and restrictions, so individual septic tank locations were summarized by HUC12 watersheds, NHD catchments, and block groups. Densities were calculated as the count of septic tanks per square kilometer. A supplemental layer is included, indicating the completeness of the parcel data at the block group scale, to highlight areas where missing data may lead to possible undercounting of septic tanks. Tabular data files can be joined to corresponding spatial features using the unique IDs provided within the source data (for example FeatureID, HUC12, and GeoID).