Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zone was evaluated. This record describes the Mannville Coal Zone depth to top.

Predicted Soil Great Group class as defined by the The Canadian System of Soil Classification (third edition).

Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zones were evaluated. This record describes the Carbon Thompson Coal Zone's vitrinite reflectance measurements.

The Registered Fur Management Area dataset is comprised of all the polygons that represent the Registered Fur Management Areas in Alberta. A Registered Fur Management Area (RFMA) is a parcel of public land, the boundary of which is described on the Registered Fur Management Licence. If a Registered Fur Management Area is described by reference to a line, that area includes all land within 0.5 mile on each side of that line. A Registered Fur Management Licence permits the licence holder to hunt and trap fur-bearing animals on the lands described on the licence.

All fundamental watershed polygons generated from watershed boundary lines, bank edges, delimiter edges, coastline edges, and administrative boundary edges

The Fisheries Contact Boundaries dataset is comprised of all the polygons that represent the Environment and Protected Areas Fisheries Contact Boundaries within the Province of Alberta. The dataset is to help Government of Alberta Staff and external consultants to determine which Biologist is responsible for and has authority over Research Licenses (RL-PAAS and traditional RLs), FWMIS Data Requests, and other Fisheries Management approvals within that region. Please refer to the metadata included with the data for full entity attribute information.

TA_CROWN_RIGHTS_OF_WAY_SVW contains the spatial representation (polygon) of active and applied for Statutory Rights-of-way. Statutory rights-of-way are registerable in a Land Titles office, and are normally issued to authorize linear uses of Crown Land for transportation, communication, energy production and utility developments. They grant tenure holders right of passage for specific purposes and certainty respecting access to the land and use of improvements. They do not convey non-exclusive use - exclusivity may be granted for safety reasons. A legal survey is required to define the tenured area. The view was created to provide a simplified presentation of this single tenure type from the disposition information in the Tantalis operational system. The same content could be derived from the TA_CROWN_TENURES_SVW by filtering to this tenure type only

Alberta Geological Survey created a coal and coalbed methane (CBM) database to capture and manage CBM data. The database compiles different sources and contains information on 7923 wells (15,200 formation picks, 37,357 coal picks, 495 coal analyses and 363 vitrinite reflectance measurements). From this parent dataset, individual coal zone was evaluated. This record describes the McKay Coal Zone's vitrinite reflectance.

The Provincial Sanctuary - Corridor Wildlife dataset is comprised of all the polygons that represent the Provincial Sanctuary - Corridor Wildlife areas in Alberta. Provincial Sanctuary - Corridor Wildlife is area designated for the protection of wildlife within 400 yards corridors of various road centre-lines.

The Cold Lake oil sands area, Township 56 to 69, Range 1 to 11, west of the 4th Meridian, falls within the Lower Athabasca Regional Plan (LARP). As part of Alberta's Land-use Framework, LARP was developed in 2012 to set the stage for robust growth, vibrant communities and a healthy environment within the region. One of its implementation objectives is to balance the economic development of oil sands and impacts on ecosystem and environment. This is to be achieved through enhanced science-based monitoring for improved characterization of the environment and collection of the information necessary to understand cumulative effects. This land classification raster dataset is derived from 2013 Landsat imagery. It contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 5 - mixed developed areas, 6 - developed areas, 7- shoal, 8 - shrub land, 9 - grassland, 10 - agriculture areas, 11 - coniferous forest, 12 - broad leaf forest, 13 - mixed forest, and 14- fire scar.