This compilation includes two isotope datasets for Yukon. The first dataset comprises whole-rock (Nd, Hf, Sr, Pb, S and O) and feldspar (Pb) isotope analyses; the second sulphide (S and Pb) isotope analyses.

This compilation includes published Nd, Hf, Sr and Pb (plus minor O, S and C) isotopic data from 1722 whole-rock powders and feldspar separates. About 1200 of these samples are located in Yukon and the remainder are located in British Columbia, Alaska or Northwest Territories. This compilation of whole-rock and feldspar isotopic data builds off of a compilation that Kirsten Rasmussen (2013) did as part of her doctoral thesis at the University of British Columbia.To allow easier integration into a user’s GIS platform, and for greater spatial querying of the data, the “database” is presented as a “flat file” (i.e., shapefile, geodatabase and text formats).This whole-rock and feldspar isotope database will be subject to periodic updates as new data are acquired through ongoing mapping, exploration and other research activities. Any errors, omissions or new data known to users should be reported to the Yukon Geological Survey. Your feedback contributes to improving the accuracy of the geoscience databases for Yukon.Contact: [Patrick.Sack@yukon.ca](mailto:Patrick.Sack@yukon.ca); [YGS-Bedrock@yukon.ca](YGS-Bedrock@yukon.ca)**Reference:**Rasmussen, K.L., 2013. The timing, composition and petrogenesis of syn- to post-accretionary magmatism in the northern Cordilleran miogeocline, eastern Yukon and southwest Northwest Territories. PhD thesis, University of British Columbia, 810 p.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 compilation includes S (1251 analyses) and Pb (1622 analyses) isotopic data from nearly 450 mineral occurrences. Approximately 300 of these occurrences are located in Yukon and the remainder are located in British Columbia, Alaska or Northwest Territories. To facilitate data interpretation, a hierarchical deposit model scheme and mineralization age are ascribed to each occurrence.The Pb isotope portion of this compilation builds upon the compilation by Collin Godwin (1988) that was subsequently maintained by the University of British Columbia. Data from Alaska are primarily from the Gaccetta and Church (1989) compilation.This dataset is designed to be used in conjunction with a GIS platform and as such is presented here as a "flat file" (i.e., shapefile, geodatabase and text formats). The simple data structure allows for easier integration into GIS platforms and greater spatial querying of the data.This sulphide isotope database will be subject to periodic updates as new data are acquired through ongoing mapping, exploration and other research activities. Any errors, omissions or new data known to users should be reported to the Yukon Geological Survey. Your feedback contributes to improving the accuracy of the geoscience databases for Yukon.Contact: [Patrick.Sack@yukon.ca](mailto:Patrick.Sack@yukon.ca) ; [YGS-Bedrock@yukon.ca](YGS-Bedrock@yukon.ca)References:Gaccetta, J.D. and Church, S.E., 1989. Lead isotope database for sulfide occurrences from Alaska. USGS Open-File 89-688, p. 60.Godwin, C.I., Gabites, J.E. and Andrew, A., 1988. Leadtable: A Galena lead isotope database for the Canadian Cordillera, with a guide to its use by explorationists. British Columbia Mineral Resources Division, Geological Survey Branch, Paper 1988-4, p. 1-24.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)

Food Banks is a point dataset identifying food banks in British Columbia.

This interactive map is a collaborative project by Natural Resources Canada and the federal, provincial and territorial members of the Geographical Names Board of Canada. The map illustrates a sample of close to 500 places in Canada named for women from a range of backgrounds who have been remembered for many different reasons. Each point on the map is categorized by a theme, and contains a short description of the person behind that place name. The descriptions reveal that information about these women and the places named for them varies widely; some are well-known and well-documented figures, while little is known about others.

To identify the overall reach and configuration of the Capital Pathway, show the location of existing pathways (as of 2020) and proposed pathway segments, and distinguish between discovery routes and feeder links.Capital Pathway Strategic Plan, October 2020 https://ncc-website-2.s3.amazonaws.com/documents/Pathways-BOOK-10-15-2020-EN_Final_Compressed.pdf

Description:Night-time sea surface temperature (SST) was acquired from the AVHRR Pathfinder project, with data distributed by NOAA, and averaged into monthly climatological composites. The data span late 1981 through 2010 at 4 km pixel resolution.Methods:AVHRR Pathfinder version 5.3 Level 3C night Sea Surface Temperature (SST) was acquired from NOAA at 4 km spatial resolution. The monthly mean value at all pixels was calculated for individual years, then all years were combined to produce final maps of monthly mean and monthly standard deviation of SST, and the number of occurrences of valid data at each pixel over the period of observation. The quality level of all satellite observations was also acquired with this dataset, and used to remove any pixels with a quality level lower than 4. Further, pixels with fewer than two occurrences over the period 1981-2010 were removed from these maps, and set to a NaN value in the tif files. All resulting rasters were cropped to the Canadian Exclusive Economic Zone and assigned to the NAD83 geographic coordinate reference system (EPSG:4269), and have a final pixel resolution of approximately 0.0417 degrees. The monthly mean, monthly standard deviation, and number of occurrences for all pixels are provided.Uncertainties:Satellite values have been evaluated against global datasets, and datasets of samples in the Pacific region (see references). However, uncertainties are introduced when averaging together images over time as each pixel has a differing number of observations. Short-lived or spatially limited events may be missed.

This is a point layer of the names and locations of the actively used commercial shipping anchorages in British Columbia. These point locations were manually compiled from available port guides and documents. The objective of this dataset is to provide a consolidated file containing all active commercial shipping anchorage locations as there has been a lack of consistency between different sources due to variations in names and locations in different datasets and historical changes to anchorage locations.

Description:Night-time sea surface temperature (SST) was acquired from the AVHRR Pathfinder project, with data distributed by NOAA, and averaged into monthly climatological composites. The data span 1990 through 2020 at 4 km pixel resolution.Methods:AVHRR Pathfinder version 5.3 Level 3C night Sea Surface Temperature (SST) was acquired from NOAA at 4 km spatial resolution. The monthly mean value at all pixels was calculated for individual years, then all years were combined to produce final maps of monthly mean and monthly standard deviation of SST, and the number of occurrences of each pixel over the period of observation. The quality level of all satellite observations was also acquired with this dataset, and used to remove any pixels with a quality level lower than 4. Further, pixels with fewer than two occurrences over the period 1990-2020 were removed from these maps, and set to a NaN value in the tif files. All resulting rasters were cropped to the Canadian Exclusive Economic Zone and assigned to the NAD83 geographic coordinate reference system (EPSG:4269), and have a final pixel resolution of approximately 0.0417 degrees. The monthly mean, monthly standard deviation, and number of occurrences for all pixels are provided.Uncertainties:Satellite values have been evaluated against global datasets, and datasets of samples in the Pacific region (see references). However, uncertainties are introduced when averaging together images over time as each pixel has a differing number of observations. Short-lived or spatially limited events may be missed.

High resolution forest change for Canada (Change Type) 1985-2011The forest change data included in this product is national in scope (entire forested ecosystem) and represents the first wall-to-wall characterization of wildfire and harvest in Canada at a spatial resolution commensurate with human impacts. The information outcomes represent 27 years of stand replacing change in Canada’s forests, derived from a single, consistent spatially-explicit data source, derived in a fully automated manner. This demonstrated capacity to characterize forests at a resolution that captures human impacts is key to establishing a baseline for detailed monitoring of forested ecosystems from management and science perspectives. Time series of Landsat data were used to characterize national trends in stand replacing forest disturbances caused by wildfire and harvest for the period 1985–2011 for Canada's 650 million hectare forested ecosystems (https://authors.elsevier.com/sd/article/S0034425717301360 ). Landsat data has a 30m spatial resolution, so the change information is highly detailed and is commensurate with that of human impacts. These data represent annual stand replacing forest changes. The stand replacing disturbances types labeled are wildfire and harvest, with lower confidence wildfire and harvest, also shared. The distinction and sharing of lower class membership likelihoods is to indicate to users that some change events were more difficult to allocate to a change type, but are generally found to be in the correct category. For an overview on the data, image processing, and time series change detection methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2016; http://www.tandfonline.com/doi/full/10.1080/17538947.2016.1187673).The data available is, 1. a binary change/no-change; 2. Change year; and, 3. Change type. When using this data, please cite as: White, J.C., M.A. Wulder, T. Hermosilla, N.C. Coops, and G. Hobart. (2017). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment. 192: 303-321. DOI: 10.1016/j.rse.2017.03.035. https://authors.elsevier.com/sd/article/S0034425717301360Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011