The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.

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.

Multi-Agency Ground Plot (MAGPlot) database is a Canadian forest ground-plot data repository. Different agencies, including National Forest Inventory (NFI) and 12 Canadian jurisdictions (AB, BC, MB, NB, NL, NS, NT, ON, PE, QC, SK, and YT), contributed forest ground plot datasets in their original format into MAGPlot. The datasets delivered to us were quality controlled, standardized, and harmonized, and integrated into a single, centralized, and analysis-ready format database. The current version (MAGPlot_v1) uses the historical and most up-to-date measurements provided by the collaborators. Several datasets are excluded from this release due to pending agreements and ongoing processing, these include Manitoba, Newfoundland, Saskatchewan and Nova Scotia. The standardized and harmonized dataset were presented in eight different data tables (four sites and four trees’ measurements tables) in a relational database schema. Sites’ related tables include information pertaining to sites’ geographical locations, treatments, and disturbances while trees’ information contain information related to measured tree attributes, including trees’ biophysical parameters, tree growth, species, status, and health conditions. While all contributors provided large and small tree plot measurements, only NFI, AB, MB and SK provided regeneration plot measurements. MAGPlot’s main objective is to present the data in a findable, accessible, interoperable, and reusable format for a pan-Canadian forest research. The future versions are expected to include more tables, new attributes, updated and/or new measurements. MAGPlot_v1 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).

Web Map Service providing access to contour lines, spot elevation and grid coverage for elevation data in Denmark. National elevation data has been transformed to the INSPIRE EL vector GML application schema v4.0.

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).

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.

The Zero Emission Vehicle Infrastructure Program (ZEVIP) aims at addressing the lack of charging infrastructure in Canada, one of the key barriers to zero emission vehicle adoption by increasing the availability of localized charging where Canadians live, work, travel and play. This EV Infrastructure Planning Map identifies priority areas and accounts for available charging infrastructure and expected charging needs with a focus on public corridor charging. To optimize web performance when using the map, it is recommended you zoom into the areas you are exploring. Priority areas are identified on a scale ranging from lowest to highest priority. Public Corridor Charging includes the EV charging needs of those travelling longer distances on highways and major roads. The objective is to ensure that EV drivers can travel over the majority of Canada’s road network connecting most communities in an EV without being limited on vehicle range. The map identifies priority locations within 1.6 kilometres of major roads based on criteria such as, traffic, expected EV adoption and distance between chargers

Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.

The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include 03, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.

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.