• Organization: Department of the Interior
• Updated: 2020-11-17T00:00:00Z

This is a point coverage of the 1990 Census of Population and Housing for the conterminous United States. (Alaska and Hawaii are available separately). The coverage contains the location...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

This data, grsg_lcp_ThiessenPoly_mst3, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

This data, grsg_lcp_ThiessenPoly_mst4, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

This data, grsg_lcp_ThiessenPoly_mst2, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

This data, grsg_lcp_ThiessenPoly_mst5, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

This data, grsg_lcp_ThiessenPoly_mst1, is one of five hierarchical delineations of greater sage-grouse population structure. The data represent Thiessen polygons of graph constructs (least-cost...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

We present five hierarchical demarcations of greater sage-grouse population structure, representing the spatial structure of populations which can exist due to differences in dispersal abilities,...

• xml
• xml

• Organization: U.S. Environmental Protection Agency
• Updated: 2016-02-11T00:00:00.000+00:00

This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and slope. This dataset was produced by the US EPA to support research...

• Organization: Department of Commerce
• Updated: 2016-12-21

Projected Population by Age Groups, Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in...

• api

• Organization: Department of Commerce
• Updated: 2016-12-21

Projected Population by Single Year of Age, Sex, Race, Hispanic Origin, and Nativity for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // Note: Hispanic origin is...

• api

• Organization: Department of Commerce
• Updated: 2016-12-21

Projected Births by Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // Note: Hispanic origin is considered an ethnicity, not a...

• api

• Organization: Department of the Interior
• Updated: 2020-11-17T00:00:00Z

This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every catchment of NHDPlus for the conterminous...

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• xml

• Organization: Department of Commerce
• Updated: 2016-12-21

Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2014 to 2060 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means...

• api

• Organization: U.S. Environmental Protection Agency
• Updated: 2022-08-31T00:00:00.000+00:00

This EnviroAtlas dataset intelligently reallocates 2020 population from census blocks to 30 meter pixels based on land cover and land use for the conterminous United States. Datasets for other...

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

The betweenness (bc; grsg_lcp_betweenness_centrality) defines the importance of a node in a graph based on how many times it occurs in the shortest path between all pairs of nodes. In other words,...

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• Organization: U.S. Environmental Protection Agency
• Updated: 2018-01-24T00:00:00.000+00:00

This EnviroAtlas dataset estimates population by 12-digit HUC. It is based on the EnviroAtlas dasymetric dataset, which intelligently reallocates 2010 population from census blocks to 30 meter...

• Organization: Department of the Interior
• Updated: 2022-07-25T00:00:00Z

Closeness centrality (cc; grsg_lcp_closeness_centrality) measures the average length of the shortest path between the node and all other nodes in the graph. The more central a node, the closer it...

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• xml

• Organization: U.S. Environmental Protection Agency
• Updated: 2022-06-16T00:00:00.000+00:00

This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and land use. This dataset was produced by the US EPA to support...

• Organization: Department of the Interior
• Updated: 2020-11-17T00:00:00Z

This spatial data set was created by the U.S. Geological Survey (USGS) to represent the population within each incremental watershed delineated in the NHDPlus v2 dataset in the Pacific Northwest...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (for example, nutrients) through the...

• xml
• xml