The Aquatic Invasive Species Surveillance Database is a compilation of fish community and habitat data from DFO’s Aquatic Invasive Species and Invasive Carp Program early detection surveillance efforts in Canadian waters of the Great Lakes basin. Data includes: sampling site location, date, fish species and counts, and associated habitat information. Annual project-specific details including purpose/objectives and study methodology are often reported in the DFO Canadian manuscript report of fisheries and aquatic sciences series.

Normal Annual Runoff for 1961 - 1990, in mm

This data set represents the geographical extents of the work performed in annual Yukon mining assessment reports. The assessment reports are submitted by the owners of mining claims and are a technical report outlining the work done on their claim.This data set is updated quarterly.

The Yukon Geological Survey stores a significant amount of geological information gathered by exploration companies in compliance with the Quartz Mining Act. This information is primarily contained in assessment reports (AR). Since 1920, more than 8000 hardrock assessment reports have been collected, with more than 6000 of these containing geochemical data on surficial samples (e.g., soil, rock, stream sediment, and vegetation). The sheer volume and historical depth of these data provide valuable insight into the mineral potential of the Yukon. Exploration companies rely on data from ARs to search for exploration targets. To aid exploration companies, YGS has developed this database to consolidate geochemical data extracted from assessment reports. This database, the Geochemical Assessment Report Data Extracted database (GARDEd), was created by extracting and compiling data from more than 300 assessment reports. GARDEd was initially populated with data from samples within a 75 km radius of the Casino deposit to evaluate the data extraction procedures and assess the feasibility of the database. Data capture focused on recent ARs because these were available in digital format. The initial release of this database contains approximately 10% of the geochemical data from surface samples within Yukon ARs.YGS encourages users to send feedback to [geology@yukon.ca](mailto:geology@yukon.ca) to assess the usefulness of the dataset and determine how much effort should be invested to capture older, non-digital ARs.Distributed from [GeoYukon](https://mapservices.gov.yk.ca/GeoYukon/) by the [Government of Yukon](https://yukon.ca/) . 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)

In this dataset, we share maps of annual dominant tree species (also known as leading tree species) from 1984-2022 covering the entirety of Canada's 650 Mha forested ecosystems using Landsat time-series imagery at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Classifications are based on regionally representative Random Forests model using local training samples from Canada's National Forest Inventory (Hermosilla et al., 2024). Descriptive metrics provide information on spectral, geographic, climatic, and topographic characteristics. Initial annual tree species classifications were subjected to a time series post-classification process using the forward-backward Hidden Markov Model to improve the temporal consistency of tree species transitions within the time series. Assessment of the annual species maps using independent validation data resulted in an overall accuracy of 86.1% ± 0.14% (95%-confidence interval). These data allow consistent comparison of trends and rates of change in tree species composition nationally and across regions using a common time frame, spatial resolution, and analytical approach.Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Bater, C.W., Hobart, G.W., 2024. Characterizing long-term tree species dynamics in Canada's forested ecosystems using annual time series remote sensing data. Forest Ecology and Management, 122313. https://doi.org/10.1016/j.foreco.2024.122313 (Hermosilla et al. 2024)

In 2022, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery for all Canadian provinces, in support of a national crop inventory. New this year, a map of the agricultural regions in the Yukon Territory was also produced. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Landsat-9,Sentinel-2), and radar (RCM) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincialcrop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph - Ridgetown campus; British Columbia Ministry of Agriculture; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Kentville, Fredericton, Guelph, Summerland and Whitehorse.

Historical hydrometric data are standardized water resource data and information. They are collected, interpreted and disseminated by the National Hydrological Services (NHS) in partnership with the provinces, territories and other agencies through the National Hydrometric Program. These data sets include daily mean, monthly mean, annual maximum and minimum daily mean and instantaneous peak water level and discharge information for over 2700 active and 5100 discontinued hydrometric monitoring stations across Canada.

The Great Lakes Fish Biodiversity Science Database is a compilation of fish community and habitat data from DFO Science surveys, primarily related to freshwater fishes of conservation concern in the Great Lakes basin. Data include: sampling site location, date, fish species and counts, and associated habitat information. Project-specific details including purpose/objectives and study methodology are often reported in the DFO Canadian data report of fisheries and aquatic sciences series.

This dataset contains the total annual releases of radionuclides released directly to the environment through direct discharge (i.e. releases to water) from facilities operated by Canadian Nuclear Laboratories in Canada.This original radionuclide releases dataset of the Canadian Nuclear Laboratories provides results for both stack emissions and direct discharge. The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the direct discharge results mapped. Make sure to look at the Canadian Nuclear Laboratories stack emissions record in order to obtain a complete picture.Regulatory Oversight Report for Canadian Nuclear Laboratories Sites - 2018: https://nuclearsafety.gc.ca/eng/resources/publications/reports/regulatory-oversight-reports/cnl-report-2018.cfm

This dataset contains the total annual releases of radionuclides released directly to the environment through stack emissions from facilities operated by Canadian Nuclear Laboratories in Canada.This original radionuclide releases dataset of the Canadian Nuclear Laboratories provides results for both stack emissions and direct discharge (i.e. releases to water). The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the stack emissions results mapped. Make sure to look at the Canadian Nuclear Laboratories direct discharge record in order to obtain a complete picture.Regulatory Oversight Report for Canadian Nuclear Laboratories Sites - 2018: https://nuclearsafety.gc.ca/eng/resources/publications/reports/regulatory-oversight-reports/cnl-report-2018.cfm