데이터셋 상세
미국
GLRI all basin key
Dataset includes number corresponding to the map, the official USGS Station ID and Station Name, and the Archive Site Name and Paper Site Name.
데이터 정보
연관 데이터
GLRI all basin key
공공데이터포털
Dataset includes number corresponding to the map, the official USGS Station ID and Station Name, and the Archive Site Name and Paper Site Name.
USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)
공공데이터포털
HYDRoSWOT – HYDRoacoustic dataset in support of Surface Water Oceanographic Topography – is a data set that aggregates channel and flow data collected from the USGS streamgaging network and includes 200,000+ records of USGS acoustic Doppler current profiler (ADCP) discharge measurements. The data set includes a variety of fields including: mean depth, mean velocity, discharge, stage, water-surface width, maximum depth, maximum velocity, and streamgage metadata for more than 5,000 stations in the United States. The hydraulic and channel geometry data is stored in the USGS hydroacoustic Doppler current profiler tables reported in the SiteVisit field measurement database and polled from 45 individual National Water Information System (NWIS) hosts. The database tables were de-normalized into a single flat file intended for further study in various analytical software, such as a spreadsheet or data frame. Each station can possess multiple measurements, as indicated by the measurement number recorded in the q_meas_no field. An individual measurement may have multiple sub-measurements when flow occurs in multiple channels. The multiple channels are recorded in the q_meas_chan_nu field. This dataset only contains ADCP measurement data. In the event of a multiple channel measurement, where other methods were used to measure flow, only ADCP measurements will be represented.
USGS HYDRoacoustic dataset in support of the Surface Water Oceanographic Topography satellite mission (HYDRoSWOT)
공공데이터포털
HYDRoSWOT – HYDRoacoustic dataset in support of Surface Water Oceanographic Topography – is a data set that aggregates channel and flow data collected from the USGS streamgaging network and includes 200,000+ records of USGS acoustic Doppler current profiler (ADCP) discharge measurements. The data set includes a variety of fields including: mean depth, mean velocity, discharge, stage, water-surface width, maximum depth, maximum velocity, and streamgage metadata for more than 5,000 stations in the United States. The hydraulic and channel geometry data is stored in the USGS hydroacoustic Doppler current profiler tables reported in the SiteVisit field measurement database and polled from 45 individual National Water Information System (NWIS) hosts. The database tables were de-normalized into a single flat file intended for further study in various analytical software, such as a spreadsheet or data frame. Each station can possess multiple measurements, as indicated by the measurement number recorded in the q_meas_no field. An individual measurement may have multiple sub-measurements when flow occurs in multiple channels. The multiple channels are recorded in the q_meas_chan_nu field. This dataset only contains ADCP measurement data. In the event of a multiple channel measurement, where other methods were used to measure flow, only ADCP measurements will be represented.
Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
공공데이터포털
The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.
Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
공공데이터포털
The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.
Maine StreamStats Foundation Data Layers
공공데이터포털
The U.S. Geological Survey, in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be able to delineate watersheds with the StreamStats application more accurately than previously possible. The datasets are provided in five separate child items.
Maine StreamStats Foundation Data Layers
공공데이터포털
The U.S. Geological Survey, in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be able to delineate watersheds with the StreamStats application more accurately than previously possible. The datasets are provided in five separate child items.
USGS Streamgage NHDPlus Version 1 Basins 2011
공공데이터포털
This dataset represents 19,031 basin boundaries and their streamgage locations for the U.S. Geological Survey's (USGS) active and historical streamgages from the published dataset of Stewart and others (2006) and its subsequent updates (D.W. Stewart, USGS, written commun., 2011). Only the basin boundaries that were delineated within 15 percent of the basin area reported in the National Water Information System (NWIS) were included in this dataset. This dataset only includes streamgage basins in the lower 48 states and not in Alaska, Hawaii, or Puerto Rico. The basin boundaries and streamgage locations are provided in 18 shapefiles separated by 2-digit Hydrologic Unit Code. The USGS streamgage station's identification number attached to each delineated polygon can be linked to the attribute data found in Stewart and others (2006). The delineated watersheds were made from digital elevation models found in the NHDPlus data suite (version 1, 2006) and based on gage locations provided by Stewart and others (2006). These basins have been used in several USGS studies such as James Falcone's "GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow" (2011) and Xiaodong Jian and others, "WaterWatch-Maps, Graphs, and Tables of Current, Recent, and Past Streamflow Conditions " (2008).