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Federal
TIGER/Line Shapefile, 2017, 2010 nation, U.S., 2010 Census Urban Area National
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
Federal
usSEABED: Offshore Surficial-Sediment Database for Samples Collected within the United States Exclusive Economic Zone
Department of the Interior —
Since the second half of the 20th century, there has been an increase in scientific interest, research effort, and information gathered on the geologic sedimentary... -
Federal
TIGER/Line Shapefile, 2022, Nation, U.S., 2010 Census Urban Area
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
University
New Mexico Urban Areas - Current
Earth Data Analysis Center, University of New Mexico —
The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database... -
Federal
TIGER/Line Shapefile, 2020, Nation, U.S., 2010 Urban Areas
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
Federal
TIGER/Line Shapefile, 2019, 2010 nation, U.S., 2010 Census Urban Area National
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
Federal
PAC_CLC: Calculated seabed data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_clc.txt)
Department of the Interior —
This data layer (PAC_CLC.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S Pacific... -
Federal
usSEABED component and features data for the entire U.S. Gulf of Mexico and Caribbean (GMX_CMP, Puerto Rico and U.S. Virgin Islands)
Department of the Interior —
This component data layer (_CMP.txt) file gives information about selected components (minerals, rock type, microfossils, benthic biota) and seafloor features... -
Federal
Seabed component and feature data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_cmp.txt)
Department of the Interior —
This data layer (PAC_CMP.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific... -
Federal
usSEABED facies data for the entire U.S. Atlantic Coast (ATL_FAC)
Department of the Interior —
The facies data layer (_FAC.txt) is a point coverage of known sediment samplings, inspections, and probings from the usSEABED data collection and integrated using the... -
Federal
2020 Cartographic Boundary File (SHP), 2020 Urban Areas for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2019 Cartographic Boundary Shapefile, 2010 Urban Areas for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
usSEABED facies data for the entire U.S. Gulf of Mexico and Caribbean (GMX_FAC, Puerto Rico and U.S. Virgin Islands)
Department of the Interior —
The facies data layer (_FAC.txt) is a point coverage of known sediment samplings, inspections, and probings from the usSEABED data collection and integrated using the... -
Federal
TIGER/Line Shapefile, 2016, 2010 nation, U.S., 2010 Census Urban Area National
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
Federal
Collection Series Information File for the 2015 Cartographic Boundary File, Urban Area-State-County , 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
Collection Series Information for the 2019 Cartographic Boundary Geodatabase for the United States
U.S. Census Bureau, Department of Commerce —
The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
University
New Mexico Urban Areas - 2000 Census
Earth Data Analysis Center, University of New Mexico —
The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database... -
Federal
Collection Series Information for the 2019 Cartographic Boundary File Shapefile ,2010 Urban Areas (UA) within 2010 County and Equivalent, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
TIGER/Line Shapefile, 2015, 2010 nation, U.S., 2010 Census Urban Area National
U.S. Census Bureau, Department of Commerce —
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master... -
Federal
2020 Cartographic Boundary File (KML), 2020 Urban Areas for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically...