• Add labels and set their properties

• Customize the pop-up

• Use as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.
  

• Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class.
  

• Change the symbology and the attribute field used to symbolize the data

• Open table and make interactive selections with the map

• Modify the pop-ups

• Apply Definition Queries to create sub-sets of the layer

The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.

The NHDPlus Version 1.0 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,000-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first broadly applied in New England, and thus dubbed The New-England Method. This technique involves burning-in the 1:100,000-scale NHD and when available building walls using the national Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. An interdisciplinary team from the U. S. Geological Survey (USGS), U.S. Environmental Protection Agency (USEPA), and contractors, over the last two years has found this method to produce the best quality NHD catchments using an automated process.

The VAAs include greatly enhanced capabilities for upstream and downstream navigation, analysis and modeling. Examples include: retrieve all flowlines (predominantly confluence-to-confluence stream segments) and catchments upstream of a given flowline using queries rather than by slower flowline-by-flowline navigation; retrieve flowlines by stream order; subset a stream level path sorted in hydrologic order for stream profile mapping, analysis and plotting; and, calculate cumulative catchment attributes using streamlined VAA hydrologic sequencing routing attributes.

The VAAs include results from the use of these cumulative routing techniques, including cumulative drainage areas, precipitation, temperature, and land cover distributions. Several of these cumulative attributes are used to estimate mean annual flow and velocity as part of the VAAs.

NHDPlus contains a snapshot (2005) of the 1:100,000-scale NHD that has been extensively improved. While these updates will eventually make their way back to the central NHD repository at USGS, this will not have happened prior to distribution of NHDPlus because the update process for the central NHD repository is still in development. Consequently, the NHDPlus will contain some temporary database keys and, as a result, NHDPlus users may not make updates to the NHD portions of NHDPlus with the intent of sending these updates back to the USGS. Once the NHDPlus updates have been posted to the central NHD repository, a fresh copy of the improved data can be downloaded from the central NHD repository and that copy will be usable for data maintenance. Note that the NHDPlus products are tightly integrated and user modifications to the underlying NHD can compromise this synchronization.

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"))

These tabular data are the summarization of human related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as human related include agriculture, barriers, road density, pesticide, and road/stream crossing data. Outputs include tabular comma-separated values files (CSVs), and parquet formatted files for the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) catchments by NHDPlus ID. Local catchments are defined as the single catchment within which the data are summarized. Network summaries are summaries for each of the local catchments and their respective network-connected upstream or downstream catchments for select variables. The summarized data tables are structured as a single column representing the catchment id values (ie. NHDPlus ID) and the remaining columns consisting of the summarized variables. Additionally, for a full de ...

These tabular data are the summarization of land use/land cover related variables within the Delaware River watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as land use/land cover related include all land use and land cover data. Outputs consist of tabular comma-separated values files (CSVs), and parquet formatted files for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment within which the data are summarized. Network accumulation summaries were completed for each of these catchments and their respective upstream catchments. The summarized data tables are structured as a single column representing the catchment id values (i.e. nhdplusid) and the remaining columns consisting of the summarized variables. The downstream network summary type is not present within the dataset as no summaries were conducted using that summary type. Additionally, for a full description of the variables included within these summaries see xstrm_nhdhr_lulc_delaware_river_datadictionary.csv in the attached files. The xstrm local summary methodology takes either raster or point data as input then summarizes those data by "zones" (hereafter referred to as catchment(s)), in this case the NHDPlus HR catchments. The network summaries then take the results from the local summaries and calculates the desired network summary statistic for the local catchment and its respective upstream or downstream catchments. As a note concerning use of these data, any rasters summarized within this process only had their cells included within a catchment if the center of the raster cell fell within the catchment boundary. However, the resolution of the input raster data for these summaries was considered to provide completely adequate coverage of the summary catchments using this option and given computing power limitations. If a confirmed complete coverage of a catchment is desired (even if a raster cell only is minimally included within the catchment) then it is recommended to rerun the xstrm summary process with the "All Touched" option set to True. Further information on the Xstrm summary process can be found at the Xstrm software release pages: Xstrm: Wieferich, D.J., Williams, B., Falgout, J.T., Foks, N.L. 2021. xstrm. U.S. Geological Survey software release. https://doi.org/10.5066/P9P8P7Z0. Xstrm Local: Wieferich, D.J., Gressler B., Krause K., Wieczorek M., McDonald, S. 2022. xstrm_local Version-1.1.0. U.S. Geological Survey software release. https://doi.org/10.5066/P98BOGI9.

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.

Open the Data Resource: https://gis.chesapeakebay.net/ags/rest/services/Boundaries/CBW_NHDv21_catchment_albers_30m_2022/MapServer The catchment and catchment routing data in NHDv2.1 products are used to understand flow to and assess water quality impacts on the Chesapeake Bay. The areas of land captured in the catchments representing the watershed are outdated due to man-made storm drains and pumping practices. The modified 1:100k Catchments for the Chesapeake Bay Watershed layer is an updated National Hydrography Dataset Plus (NHDPlus) v2.1 catchment layer which incorporates storm drain information in Chesapeake City, Virginia, to better reflect flow to the Chesapeake Bay. The modified layer contains 83,628 catchments, covering a 170,470.97 square kilometer area. The modified catchments are still usable with other native NHDPlus products, including routing information and streamlines. NHDPlus is an integrated suite of application-ready geospatial data products, incorporating many of the best features of the National Hydrography Dataset (NHD), the National Elevation Dataset (NED), and the National Watershed Boundary Dataset (WBD). NHDPlus, based on the medium resolution NHD (1:100,000-scale), includes the stream network and improved linear networking, feature naming, and “value added attributes” (VAA). NHDPlus also includes elevation-derived catchments. The 30-meter resolution raster representation of the catchments can be downloaded at https://gis-data.chesapeakebay.net/NHD/Modified_CBW_NHDv21_catchment_raster.zip.

This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which represents the "partial" model run. Model performance of the full and partial models were compared and identified to be similar. Therefore, predictions for all NHDPlusV2 stream reaches were made using the partial model. Methods used to calibrate the random forest models, and references to predictor data sources are detailed in (Miller and others, 2018). The R scripts used and directions to run the scripts are included in this data release. References cited: Liaw, A., and Wiener, M., 2018, Package 'randomForest': The Comprehensive R Archive Network, https://cran.r-project.org/web/packages/randomForest/randomForest.pdf. Miller, M.P., Carlisle, D.M., Wolock, D.M., and Wieczorek, M., 2018, A database of natural monthly streamflow estimates from 1950 to 2015 for the conterminous United States: Journal of the American Water Resources Association, v. 54, no. 6, p. 1258-1269, https://doi.org/10.1111/1752-1688.12685. Foks, S.S., Miller, M.P., and Hopple, J.A., 2020, Daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary for the years 1950 through 2015: U.S. Geological Survey data release, https://doi.org/10.5066/P9XY70L4. R Core Team, 2020, R-A language and environment for statistical computing: R Foundation for Statistical Computing, https://www.eea.europa.eu/data-and-maps/indicators/oxygen-consuming-substances-in-rivers/r-development-core-team-2006.

NHDPlus_Waterbodies_and_Areas_Final

This dataset represents all Streamgage Monitoring Stations from the U.S. Geological Survey, for the United States, Puerto Rico, and the U.S. Virgin Islands, in 2024. Gaging stations, or gages, measure the height (stage) and volume of flow at a point location on a water feature. Gages in this map layer were drawn from the National Water Information System (NWIS) Web Interface and linked to the National Hydrography Dataset Plus Version 2 (NHDPlusV2) flowline feature class. Each Streamgage point contains a link to the USGS Water Data site, which provides daily statistics reported from the station.Data pulled from GeoJSON: Release Rebuild with latest NWIS · internetofwater/ref_gages · GitHubThe GeoJSON file references NHDPlusV2 identifiers and the “reference mainstems” which are governed here:https://github.com/internetofwater/ref_rivers/

This dataset is a continuous parameter grid (CPG) of mean basin elevation data (30 meter pixels) in the Pacific Northwest. Source data come from the U.S. Geological Survey National Elevation Dataset, via the National Hydrography Dataset Plus V2.

This data set contains U.S. Geological Survey (USGS) streamgage matching results in tabular format for water-quality sites retrieved from the Water Quality Portal for the Delaware River Basin. The table contains a list of water-quality sites joined to USGS streamgages where the water-quality site and USGS streamgage are located on the same stream, as represented by the National Hydrography Dataset Plus (NHDPlus) "LevelPathID" attribute. The file represents a one-to-many relationship: each water-quality site, as represented by the unique identifier, "MonitoringLocationIdentifier", is joined to anywhere from zero streamgages (not on same stream as any gage; the gage info columns are NA) to one or more streamgages (the gage info columns are filled). There are 5,008 unique water-quality sites and 19,396 records representing streamgage matches.

In 2023, the US Supreme Court’s majority ruled in Sackett v. Environmental Protection Agency that only wetlands that are “indistinguishable†from federally protected waters “due to a continuous surface connection†are federally protected. This study estimates the potential impact of interpretations of the ruling on federal wetlands protections, using a qualitative measure of wetland “wetness†as a proxy for the new requirement. An estimated area ranging from ~17 million acres (19%) to nearly all 90 million acres of nontidal wetlands in the conterminous United States could be without federal protections, and variability in state protections creates hotspots of risk. The high-level estimates provided here represent a first step toward understanding the long-term impacts of Sackett v. Environmental Protection Agency on federal wetlands protections and highlight the uncertainty introduced by the ruling., This dataset represents estimated federal jurisdictional status of wetlands for the conterminuous US using different potential interpretations of the Supreme Court's majority opinion in Sackett v. EPA. For the full methodology, refer to the linked preprint's "methods" section. These data were produced using the National Wetlands Inventory (NWI), National Hydrography Dataset Plus High Resolution (NHDPlus HR), NWI Difference Product line, and the PAD-US dataset. Wetland polygons from the NWI were filtered to better align with the US Army Corps of Engineer's 3-factor definition of wetlands and intersected with select buffered NHDPlus HR features. Wetland "wetness", derived from the NWI's Coward Code Water Regime modifier, was used as a proxy for different interpretations of a "continuous surface connection", such that spatially contiguous wetland polygons that met or exceeded a specific "wetness" were estimated as jurisdictional if any polygon in a group was estimated jurisdictional. NWI p..., , # How wet must a wetland be to have federal protections in post-Sackett US?

https://doi.org/10.5061/dryad.4qrfj6qj1

This dataset contains a CSV (wetlands_for_dryad.csv) and a zipped ESRI geodatabase (wetlands_for_dryad.gdb.zip) representing wetland polygons with attributes that can be used to estimate federal jurisdictional status.

Description of the data and file structure

The CSV and ESRI geodatabase contain the same information, except the CSV does not contain geospatial information. Missing values are denoted as "NA" in both datasets. Both datasets contain the following columns:

• ATTRIBUTE: NWI Cowardin code (See NWI Code Definitions Download Package for code definitions)
• WETLAND_TYPE: NWI wetland type
• ACRES: Area of wetland polygon in US acres
• STATE: US state (abbreviation) where wetland polygon is located
• SYSTEM_NAM: NW...

This data set is one of many developed in support of The High Plains Groundwater Availability Project and the USGS Data Series Report: Geodatabase Compilation of Hydrogeologic, Remote Sensing, and Water-Budget-Component data for the High Plains aquifer, 2011 (DS 777). This dataset contains point vector data from the National Hydrography Dataset Plus (NHD+) 1:100,000 stream polyline data converted into points and attributed with elevation values in feet above sea level. Streams were initially included if they had a mean estimated base flow of more than 10 cubic feet per second (based on streamflow data from long-term streamflow-gaging stations operated by the USGS or the Nebraska Department of Natural Resources). The stream network then was expanded to include selected streams that were deemed hydrogeologically important but had a mean estimated base flow of less than 10 cubic feet per second.

Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and because of their structure, have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs, or Lidar) was then refined by masking natural water ways (stream valleys) and channels that are associated with transportation and urban areas. This shapefile is a depiction of National Hydrography Dataset (NHD) Plus V2 catchments, defined by a COMID, with summary statistics about the ditches identified in the course of this project.

description: This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. In this data set, these variables are linked to the catchments of the National Hydrography Dataset Plus Version 1 (NHDPlusV1) using the COMID identifier. They can also be linked to the reaches of the NHDPlusV1 using the COMID 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). This shapefile also includes habitat condition scores created based on responsiveness of biological metrics to anthropogenic landscape disturbances throughout ecoregions. Separate scores were created by considering disturbances within local catchments, network catchments, and a cumulative score that accounted for the most limiting disturbance operating on a given biological metric in either local or network catchments. This assessment only scored reaches representing streams and rivers (see the process section for more details). Please use the following citation: Esselman, P., D.M. Infante, L. Wang, W. Taylor, W. Daniel, R. Tingley, J. Fenner, A. Cooper, D. Wieferich, D. Thornbrugh and J. Ross. (April 2011) National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Georgia. National Fish Habitat Partnership Data System. http://dx.doi.org/doi:10.5066/F7WQ01SN; abstract: This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. In this data set, these variables are linked to the catchments of the National Hydrography Dataset Plus Version 1 (NHDPlusV1) using the COMID identifier. They can also be linked to the reaches of the NHDPlusV1 using the COMID 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). This shapefile also includes habitat condition scores created based on responsiveness of biological metrics to anthropogenic landscape disturbances throughout ecoregions. Separate scores were created by considering disturbances within local catchments, network catchments, and a cumulative score that accounted for the most limiting disturbance operating on a given biological metric in either local or network catchments. This assessment only scored reaches representing streams and rivers (see the process section for more details). Please use the following citation: Esselman, P., D.M. Infante, L. Wang, W. Taylor, W. Daniel, R. Tingley, J. Fenner, A. Cooper, D. Wieferich, D. Thornbrugh and J. Ross. (April 2011) National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Georgia. National Fish Habitat Partnership Data System. http://dx.doi.org/doi:10.5066/F7WQ01SN

This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Connecticut. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Connecticut. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. In this data set, these variables are linked to the catchments of the National Hydrography Dataset Plus Version 1 (NHDPlusV1) using the COMID identifier. They can also be linked to the reaches of the NHDPlusV1 using the COMID 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). This shapefile also includes habitat condition scores created based on responsiveness of biological metrics to anthropogenic landscape disturbances throughout ecoregions. Separate scores were created by considering disturbances within local catchments, network catchments, and a cumulative score that accounted for the most limiting disturbance operating on a given biological metric in either local or network catchments. This assessment only scored reaches representing streams and rivers (see the process section for more details). Please use the following citation: Esselman, P., D.M. Infante, L. Wang, W. Taylor, W. Daniel, R. Tingley, J. Fenner, A. Cooper, D. Wieferich, D. Thornbrugh and J. Ross. (April 2011) National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Connecticut. National Fish Habitat Partnership Data System. http://dx.doi.org/doi:10.5066/F79021SW