The MSDI Surface Current Web Service is a dynamic national dataset offering full coverage of surface current visualization in Canadian waters. The service has been developed and managed by the Canadian Hydrographic Service in collaboration with Environment and Climate Change Canada. As with all MSDI products, this service is strictly NOT FOR NAVIGATION. This data is best viewed by software that supports time-aware map services.

Web Map Service providing access to Existing Land use from Danish Agency for Data supply and Efficiency. The contents are data from the data set "GeoDanmark", transformed to the INSPIRE ELU GML application schema v4.0.

Radiocarbon dates are derived from organic samples collected through marine and coastal expeditions of the Geological Survey of Canada Atlantic and Pacific. These efforts were conducted primarily to better understand the spatial and temporal coverage of sediments and seabed-fast marine ice during the last deglaciation. The quality of these data varies - ranging from imprecise bulk samples and more accurate AMS estimates derived from single shell fragments. These data are ordered in the menu in 1000 year divisions. By default, only conventional radiocarbon ages are displayed, and reservoir-corrected and measured ages are hidden.

Web Map Service providing access to Statistical Units from Agency for Data supply and Efficiency. The content are data from the data sets "DAGI", transformed to the INSPIRE SU vector GML application schema v4.0.

This mosaic is calculated over the North American domain with a horizontal spatial resolution of 1 km. This mosaic therefore includes all the Canadian and American radars available in the network and which can reach a maximum of 180 contributing radars. To better represent precipitation over the different seasons, this mosaic renders in mm/h to represent rain and in cm/h to represent snow. For the two precipitation types (rain and snow), we use two different mathematical relationships to convert the reflectivity by rainfall rates (mm/h rain cm/h for snow). This is a hybrid mosaic from DPQPE (Dual-Pol Quantitative Precipitation Estimation) for S-Band radars. For the US Nexrad radars, ECCC uses the most similar product from the US Meteorological Service (NOAA). This product displays radar reflectivity converted into precipitation rates, using the same formulas as the Canadian radars.

Web Map Service providing access to Buildings from Danish Agency for Data supply and Efficiency. The contents are data from the data set "GeoDanmark", transformed to the INSPIRE bu-core2d GML application schema v4.0.

Grain size is the most fundamental physical property of sediment, and these data are widely used in a variety of applications in science. Marine expeditions of the Geological Survey of Canada have been collecting grain size information on seabed and sub-seabed samples for over 50 years. Results have been recorded at 5th phi midpoints since the early 1990's in contrast to the earlier full, half or quarter phi interval end point values. Users of high resolution data must note that the sum of %Silt and %Clay equals the total %Mud makeup and that %Gravel, %Sand, %Silt and %Clay sum to 100%. Summary statistics include percentages of gravel, sand, silt, clay and mud as well as mean, kurtosis, skewness and standard deviation. The quality of these data varies. Results should be used with some caution as they may not be fully representative of seabed grainsize, particularly in areas of sandy and coarser sediment (e.g., sand and mud can leak out of the sampler during recovery). Canada makes no representation or warranty of any kind with respect to the accuracy, usefulness, novelty, validity, scope, completeness or currency of the data and expressly disclaims any implied warranty of merchantability or fitness for a particular purpose of the data. For the purpose of the web mapping service, grain size data are sorted by the expedition id. Coarse and detailed grain size distribution plots are shown when a point is chosen. If the sample contains more that one sub-sample ( e.g., as with a piston core sequence), the grain size plots are stacked in the display window from the top of the core downwards.

Photographs of the seabed have been collected during marine expeditions of the Geological Survey of Canada Atlantic and Pacific for over 50 years. Typically, a sequence of 10 to 20 photos are taken at a single station as the vessel drifts with prevailing winds and currents and the camera is repeatedly lowered to and raised from the seafloor. The suite of photos from each station may best be considered a representative ensemble from the proximal area. Only in the more recent expeditions, where differential GPS and ultra-short baseline positioning is used in camera positioning, is the relative positional information given for each photo meaningful in interpreting the sequence as a transect. Reduced-scale, thumbnail photos are displayed for the sequence of photos taken at each station. Each photo is labelled with the expedition id, the station number and the photo number.

The Common Attribute Schema for Forest Resource Inventories (CASFRI) is a Canadian forest resource inventory data repository. Forest resource inventory datasets in CASFRI are harmonized to a common data model so that data collected by different agencies following different standards can be used together. Participating provincial, territorial and federal government departments and agencies share current and historical map-based forest resource inventory datasets through CASFRI so that their data are available to users who’s areas of interest span multiple jurisdictions. CASFRI was originally developed by academic researchers (Cumming et al., https://doi.org/10.1139/cjfr-2014-0102). This flavour of CASFRI (CASFRIv5) was developed anew in collaboration with academic researchers at the University of Laval to provide a government version of CASFRI that is findable, accessible, interoperable, and reusable. It uses the most up-to-date forest inventory data provided by participating provincial, territorial, and federal government departments and agencies. CASFRIv5 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).

Hotspots represent active wildfires. Natural Resources Canada Canadian Wild Fire Information System identifies them by processing Infrared satellite images. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment.