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Federal
National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection
Department of the Interior —
The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated datset of geospatial data layers, including the most current National Hydrography... -
Federal
Slope from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Australasia
Department of the Interior —
This dataset contains the slope for Australasia from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were developed and distributed by... -
Federal
Processing units used in developing the raster layers for the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Asia
Department of the Interior —
This dataset contains the processing units for the Asian continent from the Hydrological Derivatives for Modeling and Analysis (HDMA) database. The HDMA database... -
Federal
Great Salt Lake Elevation-Area-Volume Tables
Department of the Interior —
This section of the data release includes tables in the format of comma-separated value (CSV) files with elevation-area-volume relationships for Great Salt Lake. The... -
Federal
Topographic derivative datasets for the United States-Canada transboundary Geospatial Fabric
Department of the Interior —
This U.S. Geological Survey (USGS) data release record consists of topographic data themes that cover the United States-Canada Transboundary Geospatial Fabric (TGF)... -
Federal
March 2017 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California
Department of the Interior —
1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in March 2017. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical... -
Federal
Catchments layers from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Australasia
Department of the Interior —
This dataset contains the catchments derived from the Digital Elevation Model (DEM) for Australasia from the Hydrological Derivatives for Modeling and Analysis (HDMA)... -
Federal
Processing unit used in developing the raster layers for the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Greenland
Department of the Interior —
This dataset contains the processing unit for Greenland from the Hydrological Derivatives for Modeling and Analysis (HDMA) database. The HDMA database provides... -
Federal
April 2016 bathymetry (MLLW) of Coyote Creek and Alviso Slough, South San Francisco Bay, California
Department of the Interior —
1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = NAD83 (CORS96), Vertical... -
Federal
Processing unit used in developing the raster layers for the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- North America
Department of the Interior —
This dataset contains the processing units for the North American continent from the Hydrological Derivatives for Modeling and Analysis (HDMA) database. The HDMA... -
Federal
October 2009 bathymetry collected near Dumbarton Bridge in south San Francisco Bay, California
Department of the Interior —
Bathymetric survey data were collected in October 2009 just south of Dumbarton Bridge in south San Francisco Bay, California. Portions of the main channel and western... -
Federal
LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019
Department of the Interior —
This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data... -
Federal
Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
Department of the Interior —
This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were... -
Federal
Digital Elevation Models (DEM) Data
Department of the Interior —
These topographic/bathymetric digital elevation models (DEMs) were collected and compiled to characterize erosion and deposition in the Colorado River and in an... -
Federal
April 2016 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California
Department of the Interior —
1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2016. Projection = UTM, zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations... -
Federal
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Australasia
Department of the Interior —
This dataset contains the Compound Topographic Index (CTI) for Australasia from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were... -
Federal
Flow accumulation from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Greenland
Department of the Interior —
This dataset contains the Flow Accumulation (FA) for Greenland from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The HDMA database provides... -
Federal
Slope from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- North America
Department of the Interior —
This dataset contains the slope for North America from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The slope data were developed and... -
Federal
Geomorphons for Kalamazoo River Reference Reach upstream of Plainwell, Michigan, 2021
Department of the Interior —
This dataset contains the 10 most common geomorphon forms for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI), in... -
Federal
Mores Creek Arm Bathymetric Survey - Depth DEM, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021
Department of the Interior —
In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge (Idaho Fish and...