The AMDO (Alberta Mineral Deposits and Occurrences) application was created by the Minerals and Coal Geoscience Section of the Alberta Geological Survey as a database for mineral deposits in Alberta in the early 1990s. It was originally released as Open File Report OFR 1991-17. Industrial minerals from that data source have been extracted into Microsoft Access, their locations refined or corrected and presented in GIS format.

This layer contains polygon features that represent granular aggregate deposits in New Brunswick. ‘Granular Aggregate’ is the term used to describe naturally occurring deposits of sand and gravel formed during the last ice-age when glaciers were melting and receding. These important resources, which are used for infrastructure construction and maintenance.

GEO - Geological and geophysical (geoscientificInformation)The earth sciences. For example, resources describing geophysical features and processes; minerals; the composition, structure, and origin of the earths rocks; earthquakes; volcanic activity; landslides; gravity information; soils; permafrost; hydrogeology; and erosion

This layer contains polygon features that represent granular aggregate deposits in New Brunswick. ‘Granular Aggregate’ is the term used to describe naturally occurring deposits of sand and gravel formed during the last ice-age when glaciers were melting and receding. These important resources, which are used for infrastructure construction and maintenance.

This dataset shows the location of the distribution of uranium deposits for the Province of Saskatchewan.This dataset shows the uranium deposits for the Province of Saskatchewan and is designed for the Resource Map of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

This GIS dataset is part of a digital compilation of the bedrock geology of the Foremost area (NTS 72E). It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 568. This dataset represents the compilation of existing geological maps and original geological mapping by AGS staff. Mapping included field observations and creating three-dimensional models of subsurface stratigraphy based on the interpretation of geophysical logs from oil and gas wells. Each three-dimensional formation surface was projected to a model of the bedrock surface, and the intersection formed the first approximation of the position of the geological contact at the base of the surficial deposits. We adjusted these preliminary contacts to honour outcrop data and the interpretation of the bedrock unit immediately below surficial deposits in individual wells. The data were created in file geodatabase format and output for public distribution in shapefile format. AGS Open File Reports 2010-10 and 2011-13 present additional information on data sources related to this dataset.

This model is derived from geological, geophysical and other forms of geodata. Feature extraction used deep learning. Predictive modelling made use of the deep ensemble method. Displayed is a Pan-Canadian probability map of mineral potential of graphite. This map was generated using known graphite deposits and occurrences and their associated features. Higher probability values highlight areas with an increased probability of graphite mineral systems.

Anthropogenic and natural constraints of the revised land use and development plan of the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The purpose of this dataset is to provide quantitative analysis on specific commodities, offering insights into:- The total amount of specific commodities, e.g., Gold, in Yukon's hard rock deposits. - The highest-grade and largest deposits in Yukon. - The distribution of mineral resources within multiple zones in a deposit. - Source reports, direct links, and confidence levels for each mineral resource statement. - Differentiation between 43-101, JORC, and historical estimates. The resources in this dataset have been summarized and averaged to show the total geologic resource for a property or zone. For the exact numbers, please refer to the NI 43-101 compliant resource statement.+-----------------------------------+-----------------------------------+| Field\ | Description\ || \ | \ |+-----------------------------------+-----------------------------------+| Property\ | Property for which deposit || \ | resource was calculated.\ || | \ |+-----------------------------------+-----------------------------------+| Zone\ | Zone for which deposit resource || \ | was calculated.\ || | \ |+-----------------------------------+-----------------------------------+| 43-101 Compliant\ | If the resource calculation is NI || \ | 43-101 compliant, JORC compliant, || | or historic.\ || | \ |+-----------------------------------+-----------------------------------+| Commodities\ | The types of commodities || \ | contained in the resource || | calculation, order is || | alphabetic.\ || | \ |+-----------------------------------+-----------------------------------+| Categories\ | The resource categories used to || \ | create the calculation. This || | indicates the level of certainty || | of the calculation.\ || | \ |+-----------------------------------+-----------------------------------+| Resource / Reserve\ | If the resource calculation is || \ | considered to be a reserve or || | resource. A reserve factors || | economic factors an || | extractability of the deposit || | into account.\ || | \ |+-----------------------------------+-----------------------------------+| Tonnage\ | The total tonnage of the deposit\ || \ | \ |+-----------------------------------+-----------------------------------+| AVG_AU_GT\ | The average grade of gold in the || \ | deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_AU_OZ\ | The total contained gold, in troy || \ | ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_AG_GT\ | The average grade of silver in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_AG_OZ\ | The total contained silver, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_CU_PCT\ | The average grade of copper in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_CU_LBS\ | The total contained gold, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_MO_PCT\ | The average grade of molybdenum || \ | in the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_MO_LBS\ | The total contained molybdenum, || \ | in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PB_PCT\ | The average grade of lead in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PB_LBS\ | The total contained lead, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_ZN_PCT\ | The average grade of zinc in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_ZN_LBS\ | The total contained zinc, in || \ | pounds\ || | \ |+-----------------------------------+-----------------------------------+| AVG_NI_PCT\ | The average grade of nickel in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_NI_LBS\ | The total contained nickel, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_CO_PCT\ | The average grade of cobalt in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_CO_LBS\ | The total contained cobalt, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_WO3_PCT\ | The average grade of tungsten || \ | trioxide in the deposit, in || | percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_WO3_LBS\ | The total contained tungsten || \ | trioxide, in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_SN_PCT\ | The average grade of tin in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_SN_LBS\ | The total contained tin, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_SB_PCT\ | The average grade of antimony in || \ | the deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_SB_LBS\ | The total contained antimony, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_FE_PCT\ | The average grade of iron in the || \ | deposit, in percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_FE_LBS\ | The total contained iron, in || \ | pounds.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PT_GT\ | The average grade of platinum in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PT_OZ\ | The total contained platinum, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_PD_GT\ | The average grade of palladium in || \ | the deposit, in grams per metric || | tonne.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_PD_OZ\ | The total contained palladium, in || \ | troy ounces.\ || | \ |+-----------------------------------+-----------------------------------+| AVG_BASO4_PCT\ | The average grade of barium || \ | sulphate in the deposit, in || | percentage.\ || | \ |+-----------------------------------+-----------------------------------+| TOTAL_BASO4_TONNES\ | The total contained barium || \ | sulphate, in pounds.\ || | \ |+-----------------------------------+-----------------------------------+| REFERENCE_DATE\ | The date of the resource || \ | calculation.\ || | \ |+-----------------------------------+-----------------------------------+| URL\ | The link to the report or graphic || \ | containing the resource || | calculation.\ || | \ |+-----------------------------------+-----------------------------------+| LATITUDE_DD\ | Y-Location, geographic center of || \ | zones.\ || | \ |+-----------------------------------+-----------------------------------+| LONGITUDE_DD\ | X-Location, geographic center of || \ | zones.\ || | \ |+-----------------------------------+-----------------------------------+Distributed from [GeoYukon](https://yukon.ca:443/geoyukon) by the [Government of Yukon](https://yukon.ca:443/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](http://geomatics.help@yukon.ca:80/)

Prospectivity model highlights areas of Canada with the greatest potential for clastic-dominated zinc deposits. The preferred prospectivity model is based on public geological, geochemical, and geophysical datasets that were spatially indexed using the H3 discrete global grid system. Each H3 cell is associated with a prospectivity value, or class probability, calculated from the best-performing gradient boosting machines model. Model results are filtered to include the top 20% of prospectivity values for visualization purposes.