As part of the International Polar Year (IPY) 2007'08 and 2008'09 activities, and related objectives of the Commission for the Geological Map of the World (CGMW), nations of the circumpolar Arctic have co-operated to produce a new bedrock geology map and related digital map database at a scale of 1:5 000 000. The map, released in north polar stereographic projection using the World Geodetic System (WGS) 84 datum, includes complete geological and physiographic coverage of all onshore and offshore bedrock areas north of latitude 60° north.

The National Ecological Framework for Canada's "Surface Material by Ecodistrict” dataset provides surface material information within the ecodistrict framework polygon. It provides surface material codes and their English and French language descriptions as well as information about the percentage of the polygon that the component occupies. Surface material includes the abiotic material at the earth's surface. The materials can be: ICE and SNOW - Glacial ice and permanent snow ORGANIC SOIL - Contains more than 30% organic matter as measured by weight ROCK - Rock undifferentiated MINERAL SOIL - Predominantly mineral particles: contains less than 30% organic matter as measured by weight URBAN - Urban areas. Note that only a few major urban area polygons are included on SLC source maps, therefore, do not use for tabulating total urban coverage.

The National Ecological Framework for Canada's "Surface Material by Ecoprovince” dataset provides surface material information within the ecoprovince framework polygon. It provides surface material codes and their English and French language descriptions as well as information about the percentage of the polygon that the component occupies. Surface material includes the abiotic material at the earth's surface. The materials can be: ICE and SNOW - Glacial ice and permanent snow ORGANIC SOIL - Contains more than 30% organic matter as measured by weight ROCK - Rock undifferentiated MINERAL SOIL - Predominantly mineral particles: contains less than 30% organic matter as measured by weight URBAN - Urban areas. Note that only a few major urban area polygons are included on SLC source maps, therefore, do not use for tabulating total urban coverage

The National Ecological Framework for Canada's "Surface Material by Ecoregion” dataset provides surface material information within the ecoregion framework polygon. It provides surface material codes and their English and French language descriptions as well as information about the percentage of the polygon that the component occupies. Surface material includes the abiotic material at the earth's surface. The materials can be: ICE and SNOW - Glacial ice and permanent snow ORGANIC SOIL - Contains more than 30% organic matter as measured by weight ROCK - Rock undifferentiated MINERAL SOIL - Predominantly mineral particles: contains less than 30% organic matter as measured by weight URBAN - Urban areas. Note that only a few major urban area polygons are included on SLC source maps, therefore, do not use for tabulating total urban coverage

The National Ecological Framework for Canada's "Surface Material by Ecozone” dataset provides surface material information within the ecozone framework polygon. It provides surface material codes and their English and French language descriptions as well as information about the percentage of the polygon that the component occupies. Surface material includes the abiotic material at the earth's surface. The materials can be: ICE and SNOW - Glacial ice and permanent snow ORGANIC SOIL - Contains more than 30% organic matter as measured by weight ROCK - Rock undifferentiated MINERAL SOIL - Predominantly mineral particles: contains less than 30% organic matter as measured by weight URBAN - Urban areas. Note that only a few major urban area polygons are included on SLC source maps, therefore, do not use for tabulating total urban coverage

A derivative of DFO's benthic imagery surveys for the Marine Conservation Targets Program in the St. Anns Bank Marine Protected Area (https://open.canada.ca/data/en/dataset/2a55e2b4-cbb6-4fea-b17e-a16f5e99e68f), occurrence records in this analysis represent presence/absence and density of a biogenic habitat-forming species in five drift-camera transects in the southeast corner of the MPA, off the coast of Cape Breton, Nova Scotia, Canada. Presence/absence and count data of the unstalked crinoid (Heliometra glacialis) were derived from the use of high-resolution Nikon D850 still images (n=428, see link to parent record for more descriptive survey information and complete imagery dataset) and continuous high-definition video observations (approximately one observation every second using a 1Cam Mk6, SubC Imaging camera; n=8522). Densities were estimated by dividing the crinoid counts by the field of view (calculated from lasers with 10-cm spacing). Substrates were reported for each video observation, documenting the dominant substrate (>50% cover) according to a modified Wentworth scale (i.e., sand, gravel, pebble, cobble, boulder, bedrock; Wentworth 1922). Crinoids were observed in ~44% of the area of the five transects (~4811 m2), forming dense beds along sloped features from 77-119-m depths, predominantly on cobble and pebble substrates, reaching densities of up to 59 ind. m-2 and 139 ind. m-2 in the digital still images and video observations, respectively.Cite this data as: Lawton P, Teed L. Fine-scale observations of high density Heliometra glacialis (Crinoidea) beds from five near-seafloor imagery transects from a two-year survey in the St. Anns Bank Marine Protected Area, Atlantic Canada. Published March 2026. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.References:- Wentworth, C.K. 1922. A scale of grade and class terms for clastic sediments. The Journal of Geology 30(5): 377-392.

Background:More than 80% of the heat produced in the Earth's crust comes from granitoid rocks. When granitoid rocks form they naturally concentrate radioactive elements such as U, Th, and K, and the radiogenic decay of these elements is an exothermic reaction. The radioactive decay of these elements within a granitoid body may generate local heat anomalies and elevated geothermal gradient at relatively shallow crustal levels. In combination with other local rock properties (e.g, porosity, permeability, thermal conductivity), radiogenic heat has the potential to generate a geothermal resource. The decay of radioactive elements converts mass into radiation energy, which in turn gets converted to heat. While all naturally radioactive isotopes generate some heat, significant heat generation only occurs from the decay of 238 U ,235 U ,232 Th and 40 K. Therefore, potential heat production is governed by the concentrations of U ,Th and K in the rock. In igneous rocks, radiogenic heat production is dependent on the bulk chemistry of the rock and decreases from acidic (e.g. granite) through basic to ultra basic rock types. Therefore, granites with anomalously high concentrations of U ,Th and K are targets for calculating potential radiogenic heat production. Potential radiogenic heat production (A)from plutonic rocks can be calculated using this equation:A (\\u03BCW/m 3 )=10 -5 \\u1D29 (9.52c u +2.56c K +3.48c Th )where "c" is the concentration of radioactive elements "U" and "Th" in ppm, and "K" in %; and "\\u1D29" is the rock density. Heat production constants of the natural radio-elements U, Th, K are 9.525x10 -5 , 2.561x10 -5 and 3.477x10 -9 W/kg, respectively.Data and Methods:Geochemical data from \~1760 samples of plutonic rocks from Yukon are used to calculate potential heat production. The calculated values for radiogenic heat production (A) are plotted over the mapped distribution of Paleozoic and younger plutonic rocks and major crustal faults are also shown for reference.

The extent of Sedimentary Rock as defined by Yukon Geological Survey, data is based on "GSC Open File 4673" .Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud

A revised qualitative assessment of the hydrocarbon resource potential is presented for the Hudson Bay sedimentary basin that underlies Hudson Bay and adjacent onshore areas of Ontario, Manitoba, and Nunavut. The Hudson Basin is a large intracratonic sedimentary basin thatpreserves dominantly Ordovician to Devonian aged limestone and evaporite strata. Maximum preserved sediment thickness is about 2.5 km. Source rock is the petroleum system element that has the lowest chance of success; the potential source rock is thin, may be discontinuous, and the thin sedimentarycover may not have been sufficient to achieve the temperatures required to generate and expel oil from a source rock over much of the basin. The highest potential is in the center of the basin, where the hydrocarbon potential is considered amp;lt;'Mediumamp;gt;'. Hydrocarbon potential decreasestowards the edges of the basin due to fewer plays being present, and thinner strata reduce the chance of oil generation and expulsion. Quantitative hydrocarbon assessment considers seven plays. Input parameters for field size and field density (per unit area) are based on analog Michigan, Williston,and Illinois intracratonic sedimentary basins that are about the same age and that had similar depositional settings to Hudson Basin. Basin-wide play and local prospect chances of success were assigned based on local geological conditions in Hudson Bay. Each of the seven plays were analyzed in Roseand Associates PlayRA software, which performs a Monte Carlo simulation using the local chance of success matrix and field size and prospect numbers estimated from analog basins. Hudson sedimentary basin has a mean estimate of 67.3 million recoverable barrels of oil equivalent and a 10% chance ofhaving 202.2 or more million barrels of recoverable oil equivalent. The mean chance for the largest expected pool is about 15 million recoverable barrels of oil equivalent (MMBOE), and there is only a 10% chance of there being a field larger than 23.2 MMBOE recoverable. The small expected fieldsizes are based on the large analog data set from Michigan, Williston and Illinois basins, and are due to the geological conditions that create the traps. The small size of the largest expected field, the low chance of exploration success, and the small overall resource make it unlikely that there are any economically recoverable hydrocarbons in the Hudson Basin in the foreseeable future. The Southampton Island area of interest includes 93 087 km2 of nearshore waters around Southampton Island and Chesterfield Inlet in the Kivalliq Region of Nunavut. Of the total resource estimated for Hudson Bay, 14 million barrels are apportioned to the Southampton Island Area of Interest.