Geochronology includes information pertaining to geochronology samples.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Geochronology is a discipline of geoscience which measures the age of earth materials and provides the temporal framework in which other geoscience data can be interpreted in the context of Earth history. This knowledge helps to answer questions such as when did a volcano last erupt, what is the rate of crustal uplift in a specific area, are rocks at one gold prospect the same age as those at another.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)

Geochronology is a discipline of geoscience which measures the age of earth materials and provides the temporal framework in which other geoscience data can be interpreted in the context of Earth history. This knowledge helps to answer questions such as when did a volcano last erupt, what is the rate of crustal uplift in a specific area, are rocks at one gold prospect the same age as those at another.

This dataset represents the geochronological ages for selected Precambrian rocks in the province of Saskatchewan, Canada.This dataset represents the compilation of geochronological ages for selected Precambrian rocks in the province of Saskatchewan, Canada.  **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.

Polygons containing the date of capture of the Landsat images used to create the first version of the Baseline Thematic Mapping v1 (BTM1). This spatial view is only meaningful in conjunction with the satellite images or the BTM data derived from the satellite images. The images were captured from 1990 to 1997

This is the spatial view used by Mineral Titles Online (MTO) on the mineral, placer and coal viewers. The spatial view combines the polygon information with attribute information for each title. Contains sub-surface title data in British Columbia for: - mineral claims, mining leases, mineral claim applications - placer claims, placer leases, placer claim applications - coal license applications, coal licenses, coal leases

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.

The compilation represents publicly available reports of geochronological information for Canada. This includes federal, provincial and territorial government publications and reports, university theses, books and journals. Current coverage is limited to those areas that have been the target of recent past compilation efforts, with other areas and updates being included as they become ready. Users should be aware that the compilation may not include all available data for a given area. Every effort is made to report the ages without reinterpreting the original authors' intent. However, care has also been taken to highlight the salient features of the data by which the end-user can make initial judgment on the data robustness. Users are cautioned that because of space limitations and the necessary summarization of often complex datasets, that the original publication should be consulted to verify age interpretations and their rationale. Data may be extracted by the user in tab-delimited text format.

This update of the Yukon bedrock geology map builds upon the previous compilation by Gordey and Makepeace (1999, 2001). The data set includes the bedrock geology, faults and contacts, geochronology and map index; published by Yukon Geological Survey (January 2022). New digital data are being released incrementally and will be updated regularly as new parts of the compilation are ready. Any errors noted by the user of this data should be reported promptly to the Yukon Geological Survey.

Prospectivity model highlights areas of Canada with the greatest potential for magmatic nickel 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.