212 datasets found
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Federal
2022 Cartographic Boundary File (KML), Current County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically... -
Federal
2022 Cartographic Boundary File (SHP), Current County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2024 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:20,000,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2024 Cartographic Boundary File (KML), County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically... -
Federal
2020 Cartographic Boundary File (SHP), Current County and Equivalent 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
2015 Cartographic Boundary File, State-County for United States, 1:20,000,000
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
2023 Cartographic Boundary File (KML), County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically... -
Federal
2023 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:5,000,000
U.S. Census Bureau, Department of Commerce —
The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2024 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:5,000,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2024 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2023 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
2022 Cartographic Boundary File (KML), Current County and Equivalent for United States, 1:5,000,000
U.S. Census Bureau, Department of Commerce —
The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically... -
Federal
2024 Cartographic Boundary File (SHP), 119th Congressional District within Current County and Equivalent Entities for United States, 1:500,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation
Department of the Interior —
Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or ‘label images’) collated for the purposes of... -
Federal
2020 Cartographic Boundary File (KML), Current County and Equivalent 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... -
Federal
2024 Cartographic Boundary File (KML), County and Equivalent for United States, 1:5,000,000
U.S. Census Bureau, Department of Commerce —
The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically... -
State
Shellfish Area Marina
State of Connecticut —
Shellfish Area Classification Set: The Connecticut Department of Environmental Protection cooperated with the Department of Agriculture, Bureau of Aquaculture to... -
Federal
2023 Cartographic Boundary File (SHP), County and Equivalent for United States, 1:20,000,000
U.S. Census Bureau, Department of Commerce —
The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File /... -
Federal
Inundation Exposure Assessment for Ebon Island, Ebon Atoll, Republic of the Marshall Islands
Department of the Interior —
As a low-lying island nation, the Republic of the Marshall Islands (RMI) is at the forefront of exposure to climate change impacts, including, primarily, inundation... -
Federal
2023 Cartographic Boundary File (KML), County and Equivalent for United States, 1:5,000,000
U.S. Census Bureau, Department of Commerce —
The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically...
212 datasets found