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This GIS dataset is part of a digital compilation of the bedrock geology of NTS areas 72E, 72L, 73D, and 73E. It is one of the datasets used to produce Alberta Geological Survey (AGS) Maps 567, 568, 569, and 570. This dataset represents the compilation of existing geological maps and original geological mapping by AGS staff. Mapping included field observations and creating three-dimensional models of subsurface stratigraphy based on the interpretation of geophysical logs from oil and gas wells.

This GIS dataset is part of a digital compilation of the bedrock geology of NTS areas 72E, 72L, 73D, and 73E. It is one of the datasets used to produce Alberta Geological Survey (AGS) Maps 567, 568, 569, and 570. This dataset represents the compilation of existing geological maps and original geological mapping by AGS staff. Mapping included field observations and creating three-dimensional models of subsurface stratigraphy based on the interpretation of geophysical logs from oil and gas wells.

This GIS dataset is part of a digital compilation of the bedrock geology of Alberta. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 600. This dataset represents the compilation of existing geological maps and original geological mapping by AGS staff. Mapping in support of the dataset included field observations and creating three-dimensional models of subsurface stratigraphy based on the interpretation of geophysical logs from oil and gas wells.

This GIS dataset depicts the surficial geology of the Hamburg Area (NTS 84E/SW) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 565, Surficial Geology of the Hamburg Area (NTS 84E/SW).

This GIS dataset is part of a digital compilation of the bedrock geology of Alberta. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 600. This dataset contains 1) geological units that are represented by lines because they are too narrow to represent as polygons at 1:1 000 000 scale. 2) stratigraphic terminology boundaries that represent the approximate locations of where the names applied to intervals of strata change.

This GIS dataset depicts the surficial geology of the Levellers Creek area (NTS 84E/NW) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 574, Surficial Geology of the Levellers Creek Area (NTS 84E/NW).

This GIS dataset depicts the surficial geology of the Haig River area (NTS 84E/NE) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 575, Surficial Geology of the Haig River Area (NTS 84E/NE).

This series of 1:250 000 scale colour maps covers the provincial extent of Alberta and is comprised of 50 maps that are individually named using the National Topographic System (NTS) map sheet identifier. These maps display: Alberta Township System (ATS), contours (50m intervals), major hydrographic features, municipalities, major roads, railways, and select geo-administrative features (parks, reserves, etc.).

This GIS dataset depicts the surficial geology of the Meikle River area (NTS 84E/SE) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 571, Surficial Geology of the Meikle River Area (NTS 84E/SE).

This GIS dataset is part of a digital compilation of the Precambrian geology of the Alberta portion of the Canadian Shield and Athabasca Basin. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 537. For the Alberta shield, the compilation integrates detailed mapping by both AGS and the Geological Survey of Canada (GSC) at scales ranging between 1:31,680 and 1:250,000. Geochronological data and interpretations also helped prepare this dataset.