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 Lethbridge Coal Zone's thickness isopach.

The coal zone boundary for the Taber Coal Zone is based on subcrops generated by Alberta Geological Survey Special Report 007 (Regional Evaluation of the Coalbed Methane Potential in the Plains and Foothills of Alberta, Stratigraphy and Rank Study). We used additional coal picks from various sources to refine the boundary.

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 Shore Unit Classifications Lines depict the most current Shorezone mapping lines for the Province of British Columbia. Shorezone is an aerial imaging, habitat classification, and mapping system used to inventory alongshore and across-shore geomorphological and biological attributes of the coast. Habitat attributes are interpreted from oblique aerial imagery acquired during the lowest tides of the year.

The Shorezone Biobanding Lines are a linear representation of the various types of biota (flora and fauna) and their distribution, or lack thereof, found in the shoreunit.

2020 DATABASE (Excel): The joint federal-provincial Regional Geochemical Surveys (RGS) have been carried out in British Columbia since 1976 as part of the National Geochemical Reconnaissance (NGR) program to aid exploration and development of mineral resources. The British Columbia Geological Survey (BCGS) maintains provincial geochemical databases capturing information from multi-media surveys. This 2020 release of the most current and complete province-wide geochemical data set collected under the (RGS) program. The database was compiled from 116 original sources with 65,429 samples and about 5 million determinations analyzed using 18 methods in 18 laboratories. This release augments the database with new RGS data compiled from BCGS and Geoscience BC publications between 2016 and 2019. Compared with the data in the last release, data in this release have been given further quality control treatment and revision. For the ease of use and consistency with previously published data, the data set was generated from the RGS database in a flat tabular format. The 2020 data set, released as BCGS GeoGile 2020-08, is presented in two MS Excel files, ‘RGS2020_ data.xlsx’ and ‘RGS2020_metadata.xlsx’. The data tables capture locations, field observations, analytical results and laboratories, and geology underlying sample sites for stream-, lake- and moss-sediment, water and lake samples, heavy mineral concentrates, tree twig, and needle ash. The analytical determinations include up to 63 analytes from sediment samples and up to 78 analytes from water samples. These samples, collected at an average density of about 1 site per 7–13 km2, provide representative geochemical data for the catchment basin upstream from the sample site. The RGS currently covers approximately 80 percent of the province.

Road network**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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 2010 and 2011 and Land Use and Land Cover (LULC) classification data derived from 2011 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 Non-Permit Area dataset is comprised of all the polygons that represent Non-Permit Areas in Alberta. The Non-Permit Areas are delineated areas where burning permits are not required by clients.

The spatial representation of a recreation feature. This can be either a recreation reserve, recreation site, or an interpretative forest