Since its inception in 1920, the Alberta Geological Survey (AGS) has drilled several thousand boreholes across the province. Most were drilled only into the unconsolidated sediments overlying the top of bedrock. In 2010, AGS staff began a project to systematically compile all of the borehole log information into a database. This Digital Data product and its companion Open File Report, OFR 2014-06 are the interim results of this initiative. The dataset comprises three tables: Sources.txt, Boreholes.txt and Intervals.txt, as well as metadata. The Sources table gives summary information about the AGS project for which each borehole was drilled. The Boreholes table gives summary information about each borehole, such as location, drilling method, date, and total depth of the hole. The Intervals table gives descriptive geological information about each distinct geological horizon encountered in the borehole, including lithology and colour of the material. The tables have primary keys on them so they may be loaded into a relational database, GIS system, or geological modelling program. This dataset is an interim release of 266 boreholes.

These Alberta spring locations were digitized from the 1:50 000 Alberta Hydrogeology Information Map Series (48 atlases) by the Alberta Research Council from the 1960s and 1970s. Springs were digitized as part of the digital data capture process.

This dataset accompanies Open File Report 2009-02. Between 1971 and 1983, the Alberta Research Council created a series of hydrogeological maps of Alberta. The geologists examined the sediment types present and used existing water well information to assign yield values to distinct zones within the mapped areas. They also looked at the materials, generally to a depth of 305 metres (1000 feet) below ground surface, and added the yields of the sediments encountered within this interval to arrive at a yield value for the whole. Alberta Geological Survey compiled the shapefiles for the yield polygons, digitized by the Prairie Farm Rehabilitation Agency, and then digitized the remaining linework for the remaining map areas. Afterwards, we created a geodatabase of the yield polygons for the entire province and assigned yield values to the polygons based on the original maps. We also assigned the most likely formation name, age and lithology to the yield polygon.

This dataset (lineaments_ln_ll.shp) comprises structural features compiled into GIS format from existing literature, published up to 2003. The data represent fault/lineament locations known or inferred in the Alberta Plains. We have chosen to digitize and publish all lineaments from source maps even where they extended beyond the Alberta boundary. Each compiled feature is characterized by a set of attributes including: affected formations (oldest affected and oldest non-affected stratigraphic unit), fault type, fault sense of displacement, evidence used to infer the fault/lineament, original reference information and publication scale, and an estimate of the georeferencing error. The completeness of the captured attribute set varies for each feature as a function of the level of detail in the source article. The data set should be used cautiously. First, the original authors' interpretation of subsurface faults, particularly of 'basement faults', from air photo or satellite imagery lineaments is tenuous. Second, the vast majority of faults inferred in the foreland basin (Alberta Plains) east of the deformation front are normal-slip faults. although only the dip slip component has been inferred, some of these faults may also have a strike-slip component, generally not accounted for. Third, the location of lineaments includes cumulative errors inherent in the process of transferring into GIS lineaments traced by hand in the pre-computer era on small scale (regional) paper-copy maps. Such errors include spatial imprecisions in original lineament identification and drawing and errors in georefencing of the source map, as well as minor errors introduced during lineament digitization. Although each of them is minor at the scale of the original map, the cumulative effect of these errors may be significant and even misleading for large-scale (township or larger) projects.

This GIS dataset is a compilation of existing surficial map information for Alberta, edited for mapping continuity and generalized to make it suitable for presentation and use at 1:1,000,000 scale. It is the dataset used to create Alberta Geological Survey Map 601: Surficial Geology of Alberta. The data were prepared from an intermediate dataset (Alberta Geological Survey DIG 2013-0001), which was edgematched and then the boundaries between similar polygons were 'dissolved.' The residual dataset was then generalized selectively using the Geological Survey of Canada's GeoScaler software. We then added attributes describing the generalized polygons, including unit description, texture, genetic group, and geological age. The data were created as an Esri file geodatabase feature class and exported for public distribution as an Esri shapefile called Surf1M_py_ll.shp. The layer file Surf1M_py_ll.lyr is also included for the convenience of Esri software users (version 9.2).

This data set comprises the bedrock geology of Alberta in geographic information systems (GIS) format. The GIS coverage was originally prepared by digitizing Map 027, 1972, Alberta Geological Survey, Alberta Research Council. Revisions since 1972 have incorporated new mapping data from work by the Alberta Geological Survey and the Geological Survey of Canada, and by the Canadian Society of Petroleum Geologists through the contribution of its membership to the Geological Atlas of the Western Canada Sedimentary Basin. The coverage shows the formation and geologic age of the bedrock subcrop, as well as the nature of the contacts between formations. GIS files are distributed as shapefiles of bedrock polygons (geol_py_ll.shp), bedrock line features (bdrk_ln_ll.shp), and bedrock contacts (geol_ln_ll.shp).

This digital data release includes Rock Eval and total organic carbon results of selected samples for analyses of shale gas, oil and liquids. The strata evaluated include the: - basal Banff Formation, - Colorado Group, - Duvernay Formation, - Exshaw Formation, - Montney Formation, - Muskwa Formation, - Nordegg Member, and - Rierdon Formation.

This digital data release contains the estimated quantities of shale- and siltstone-hosted hydrocarbons in Alberta described in Energy Resources Conservation Board/Alberta Geological Survey (ERCB/AGS) Open File Report 2012-06. The estimates are for the following units: - Duvernay Formation - Muskwa Formation - Montney Formation - Combined basal Banff and Exshaw formations in southern Alberta - North Nordegg Member - Wilrich Member For information on the extent and characteristics of the shale and siltstone units and the overall resource assessment approach see Energy Resources Conservation Board/Alberta Geological Survey Open File Report 2012-06. For a detailed description of the resource assessment methodology see Alberta Energy Regulator/Alberta Geological Survey Open File Report 2013-13.

This GIS dataset is a compilation of existing surficial map information for Alberta tiled into one layer. It was an interim product to produce the generalized polygon dataset (Alberta Geological Survey DIG 2013-0002), which is suitable for presentation and use at 1:1,000,000 scale. We prepared the data by appending existing GIS datasets of each surficial map of Alberta into one provincial layer with a standard attribute table. Data sources included published Alberta Geological Survey and Geological Survey of Canada maps, one master's thesis, and ecological (biophysical) land-classification maps of the mountain parks. When possible, we transferred all of the legend data from each map source into the standard schema. As part of our 1:1,000,000-scale map project, we completed mapping the unmapped areas of Alberta at roughly 500,000 to 1,000,000 scale. This dataset includes those previously unpublished data. With this dataset users can, for the first time, view the surficial geology of different map areas done at different scales and map projections by different geologists according to different legends in one GIS layer. We exported the feature class as an Esri shapefile (SurfMosaic_py_ll.shp) for public distribution. The layer file 1M_scale_legend.lyr is also included for the convenience of Esri software users (version 9.2) to render the map according to the common legend shown on Alberta Geological Survey Map 601.

This GIS dataset represents a reclassification of existing surficial map information for the purpose of portraying the distribution of sand and gravel deposits in Alberta. The surficial geology of Alberta ungeneralised digital mosaic (Alberta Geological Survey DIG2013-0001) represents the primary source of information used in this reclassification. This dataset was updated with more recently published 1:100,000 scale surficial geology maps, and where appropriate new polygon features that were digitized from line features in the Glacial Landforms of Alberta (Alberta Geological Survey Map 604 and DIG2014-0022). The updated surficial geology mosaic was then reclassified using a thematically-based attribute table which categorizes the original surficial geology features based on their sand and gravel component. Attributes within this table comprise: (1) an approximation of the material type (MATERIAL). (2) the aerial proportion that this material represents of the polygon, as a percentage (PROPORTION). (3) an indication of whether the sand and gravel unit is mapped at the land surface or is buried (SRF_BURIED). (4) the depositional environment relating to the sand and gravel unit (GENESIS). (5) the reference source to the original data (SOURCE_MAP). (6) the GIS dataset from which the features were derived (DATASET). and (7) the mapping scale (SCALE). The MATERIAL honours the original surficial geology polygons when sufficiently precise texture/material information was provided. Otherwise MATERIAL is based on the typical range of materials that are associated with each surficial geology unit on a litho-genetic basis, using the standard Alberta Geological Survey surficial geology legend. When multiple surficial geological units that contain sand and gravel are present within a single polygon (i.e. 60% eolian deposits and 40% fluvial deposits), MATERIAL reflects the unit with the greatest proportion. For geological units whose material properties are of marginal significance as a sand and gravel deposit, particularly those that contain a mixture of silt and sand, a hierarchy was used to determine whether they are included as sand and gravel deposits. Fluvial deposits, littoral and nearshore deposits, and eolian deposits with a silt textural modifier in the original mapping data were included as potential sand and/or gravel deposits because these units are often interspersed with sand and/or gravel materials. Glaciolacustrine deposits with a silt textural modifier were not included because this environment generally does not result in the deposition of extensive sand and gravel sediments. After all of the attributes had been updated, all polygons that may contain some component of sand or gravel were extracted from this dataset to create the sand and gravel potential for Alberta digital mosaic. With this dataset, users can view the extent of surficial sand and gravel deposits in the province in a single GIS layer without the need to interpret this information from a variety of legends in the original surficial geology datasets. Users can further highlight polygons that may represent more suitable targets for sand and gravel based on the estimated material type (i.e. by eliminating polygons that typically contain large amounts of silt and fine sand), the estimated proportion of sand and gravel within the polygon, and depositional environment. This dataset best portrays sand and gravel potential that occurs at the land surface or in the very near surface, and does not attempt evaluate the sub-surface distribution of sand and gravel units. This dataset also does not provide any direct assessment of aggregate quality or thickness, and the material information is mostly inferred from the general association between certain surficial material types and their geological, depositional environment. Furthermore, the sand and gravel potential dataset is based on surficial geology maps produced at different scales and using different legends,