The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

A Yukon-wide compilation of 1102 till geochemistry samples collected during 4 regional till sampling surveys conducted by Yukon Geological Survey in the Faro/Anvil Range, Weasel Lake, Finlayson Lake and Glenlyon/East Carmacks areas between 1998 and 2002. Complete analytical results for more than 40 elements are included in the attribute table for each sample.

Note: To visualize the data in the viewer, zoom into the area of interest. The National Air Photo Library (NAPL) of Natural Resources Canada archives over 6 million aerial photographs covering all of Canada, some of which date back to the 1920s.This collection includes Time Series of aerial orthophoto mosaics over a selection of major cities or targeted areas that allow the observation of various changes that occur over time in those selected regions.These mosaics are disseminated through the Data Cube Platform implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The data is available as Cloud Optimized GeoTIFF (COG) for direct access and as Web Map Services (WMS) or Web Coverage Services (WCS) with a temporal dimension for consumption in Web or GIS applications. The NAPL mosaics are made from the best spatial resolution available for each time period, which means that the orthophotos composing a NAPL Time Series are not necessarily coregistrated. For this dataset, the spatial resolutions are: 75 cm for the year 1960 and 50 cm for the year 1974.The NAPL indexes and stores federal aerial photography for Canada, and maintains a comprehensive historical archive and public reference centre. The Earth Observation Data Management System (EODMS) online application allows clients to search and retrieve metadata for over 3 million out of 6 million air photos.The EODMS online application enables public and government users to search and order raw Government of Canada Earth Observation images and archived product managed by NRCan such as aerial photos and satellite imagery. To access air photos, you can visit the EODMS web site: https://eodms-sgdot.nrcan-rncan.gc.ca/index-en.html

Data provided shows grants and contributions provided to Canadian firms by National Research Council (NRC) and its Industrial Research Assistance Program (IRAP) between April 1, 2022 and March 31, 2023.

Dry spell periods are defined as the number of days (April 1 – October 31) where daily precipitation is less than 0.5 mm. This is not an accumulation of precipitation, simply a count of days. Dry spell products are only generated during the Growing Season, April 1 through October 31.

Data provided shows grants and contributions provided to Canadian firms by National Research Council (NRC) and its Industrial Research Assistance Program (IRAP) between April 1, 2025 and March 31, 2026.

Data provided shows grants and contributions provided to Canadian firms by National Research Council (NRC) and its Industrial Research Assistance Program (IRAP) between April 1, 2021 and March 31, 2022.