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The logo of the United States Geological Survey (USGS) The Geographic Names Information System (GNIS) is a database of name and location information about more than two million physical and cultural features throughout the United States and its territories; the associated states of the Marshall Islands, Federated States of Micronesia, and Palau; and Antarctica.
The Geographic Names Information System, developed by the BGN in cooperation with the US Geological Survey, includes topographic map names and bibliographic references. The names of books and historic maps which confirm the feature or place name are cited.
The GEOnet Names Server (GNS), sometimes also referred to in official documentation as Geographic Names Data [1] or geonames [2] in domain and email addresses, is a service that provides access to the United States National Geospatial-Intelligence Agency's (NGA) and the US Board on Geographic Names's (BGN) database of geographic feature names and locations for locations outside the US.
The National Map is part of the USGS National Geospatial Program. [3] The geographic information available includes orthoimagery (aerial photographs), elevation, geographic names, hydrography, boundaries, transportation, structures and land cover. The National Map is accessible via the Web, as products and services, and as downloadable data ...
GeoNames (or GeoNames.org) is a user-editable geographical database available and accessible through various web services, under a Creative Commons attribution license. The project was founded in late 2005. [1] The GeoNames dataset differs from, but includes data from, [2] the US Government's similarly named GEOnet Names Server.
USGS Land Cover Institute: Set of links from the USGS for numerous land cover datasets. Although primarily US data, further down the list there is data for other continents. Atlas of the Biosphere: Mapping the Biosphere: Raster maps of environmental variables including soil pH, potential evapotranspiration, average snow depth, and more. Global 200
3D structural geological modeling CGRE Institute, RWTH Aachen - Miguel de la Varga LGPL v3: Cross-platform: Python: Open-source implicit geological modeling that allows for automation of model construction and is aimed to enable the implementation of probabilistic machine-learning methods, e.g. for uncertainty analysis.
The USGS Coastal and Marine Science Center (formerly the USGS Center for Coastal Geology) has three sites, one for the Atlantic Ocean (located in Woods Hole, Massachusetts), one for the Pacific Ocean (located in Santa Cruz, California) and one for the Gulf of Mexico (located on the University of South Florida's St. Petersburg campus). The goal ...