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 Taber Coal Zone's calculated gas in place in BCF/Section.

In 2014, the Alberta Energy Regulator (AER) initiated a Play-Based Regulation (PBR) pilot project as a step towards implementation of the Unconventional Regulatory Framework. One of the goals of the PBR pilot is to encourage companies in the unconventional play area to work together on plans for surface development to minimize the numbers of facilities and surface impacts. This data set is one of a series created using earth observation imagery to assess surface change caused by energy exploration. The PBR area extends from Twp. 52, Rge. 7, W 5th Mer. to Twp. 70, Rge. 5, W 6th Mer., covering the towns of Edson, Fox Creek, Mayerthorpe, Whitecourt, Swan Hills, and Valleyview. This quality evaluation dataset was produced for 2007 Landsat data to identify possible misclassified areas due to sensor noise, cloud, haze, and cloud shadow. These areas are assigned to 'bad pixels' or value '1' in the quality evaluation dataset.

In 2014, the Alberta Energy Regulator (AER) initiated a Play-Based Regulation (PBR) pilot project as a step towards implementation of the Unconventional Regulatory Framework. One of the goals of the PBR pilot is to encourage companies in the unconventional play area to work together on plans for surface development to minimize the numbers of facilities and surface impacts. This dataset is one of a series created using earth observation imagery to assess surface change caused by energy exploration. The PBR area extends from Twp. 52, Rge. 7, W 5th Mer. to Twp. 70, Rge. 5, W 6th Mer., covering the towns of Edson, Fox Creek, Mayerthorpe, Whitecourt, Swan Hills, and Valleyview. For this digital data release, a land use and land cover classification dataset was derived from 2005 Landsat multispectral imagery for the PBR pilot area. The classification contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 4 - mixed developed areas, 5 - developed areas, 6 - shoal, 7 - shrub land, 8 - grassland, 9 - agriculture areas, 10 - coniferous forest, 11 - broadleaf forest, and 12 - mixed forest. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.

The Okanagan Lake kokanee shore spawner data set is comprised of multiple combined data sets. The historical data sets for the years 1974, 77, 78, 79 and 80 and more recent data sets collected from 2001 to 2016, and 2018. The historical data was derived from information collected in the field and hand drawn onto air photographs. Ministry staff circled Okanagan Lake in a boat one time each year and recorded fish numbers and spawner locations onto air photographs that were digitized in 2006 to make up the historical data set. This data set may not capture the peak reach count for these years. The data collected from 2001 to 2018 was derived from boat counts undertaken along the shoreline of Okanagan, Wood and Kalamalka Lakes. A GPS was used to record shore spawner locations and numbers. Multiple counts were undertaken over the entire spawning cycle and covered the peak spawning period for each year of data provided. The data collected for Christina Lake began in 2003 and ended in 2006. Christina Lake kokanee spawn at night in late December and early January. Kokanee spawning redd locations are available for the 2003/2004 count. Kokanee enumerations were undertaken at night for the 2004/2005 and 2005/2006 seasons and spawning redds were counted at the end of spawning cycle. For these two years there is both spawning and redd count data available.

The Observed Habitat Polygons show the various types of particular habitat that have been observed or calculated by biologists as well as an expectation of different species found in the habitats. Each bioarea has several observed habitats, and it is the combination of the bioarea and habitat observed number that identifies each unique observed habitat.

Sub-regional plans support working landscapes that provide economic opportunities and maintain healthy landscapes by outlining management approaches and requirements for development and human footprint restoration. These plans enable public lands to support the interests of all Albertans, including Indigenous peoples, for the present and into the future. The Cold Lake Sub-Regional Plan Spatial Data dataset contains spatial data that can be used for planning as described within the Cold Lake Sub-regional Plan (2022). The following datasets are available: Recreational Management Areas, Access Management Plan Centerlines, and Riparian Setbacks. Please see the metadata on the individual datasets for details.

Distribution of clam beds in coastal Beds in British Columbia showing relative abundance (RA) and aboriginal, biological, commercial and recreational relative importance (RI) and overall RI. RI is based on project region and not on the province as a whole. and productivity. Other attributes include season dates, productivity and species. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

This map displays the distribution of the main soil types found within the province of Alberta. The distribution pattern of soils in Alberta is strongly linked to climate and parent materials. Climate affects the location of different soil groups. The driest area in southeastern Alberta is represented by the presence of Brown Chernozems. As one proceeds north and west, the soils and associated vegetation reflect the increase in available moisture.In Alberta, Organic soils generally occur in association with Luvisolic soils. These soils form under wet conditions where the organic layer (greater than 30% organic matter) accumulates faster than it decomposes. The organic layer varies in thickness from 40 to 160+ cm, and under natural conditions, the water table is at or near the surface. In some areas of the province, Organic soils may be artificially drained and used for agricultural production. This resource was created in 2002 using ArcGIS.

In 2014, the Alberta Energy Regulator (AER) initiated a Play-Based Regulation (PBR) pilot project as a step towards implementation of the Unconventional Regulatory Framework. One of the goals of the PBR pilot is to encourage companies in the unconventional play area to work together on plans for surface development to minimize the numbers of facilities and surface impacts. This dataset is one of a series created using earth observation imagery to assess surface change caused by energy exploration. The PBR area extends from Twp. 52, Rge. 7, W 5th Mer. to Twp. 70, Rge. 5, W 6th Mer., covering the towns of Edson, Fox Creek, Mayerthorpe, Whitecourt, Swan Hills, and Valleyview. Landsat multispectral imagery for 2006 and 2007 and Land Use and Land Cover (LULC) classification data derived from 2007 were used to produce this dataset. The LULC changes include vegetation loss from anthropogenic disturbances, such as infrastructure related to oil and gas exploration, forestry and agriculture, and vegetation recovery from these disturbances. This digital data release contains the vegetation recovery data, classified into 6 classes: 1 - shrub land, 2 - grassland, 3 - agricultural areas, 4 - coniferous forest, 5 - broadleaf forest and 6 - mixed forest.

The Base Features Access Railway spatial layer is the authoritative source of railway data for the province of Alberta. It is a part of the Access data collection which also includes roads, powerlines, cutlines and trails, and industrial facilities.