Inventory of buildings and land subject to the right of pre-emption. The right of pre-emption allows the City of Montreal to buy certain buildings or land in priority over any other purchaser in order to carry out projects for the benefit of the community.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present. The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year. The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application. VECTOR DATASET The vector dataset has been generalized to display at the scale of 1:1,000,000. TIME-SERIES ANIMATION APPLICATION The time-series animation application has not been generalized from its original scale (250 m pixels). The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS). CREDIT Source data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf

The Strait of Belle Isle connects the Labrador Shelf and Gulf of St. Lawrence. Few observations of currents in the Strait of Belle Isle exist despite its important contribution to the heat, salt, and mass budgets of the Gulf of St. Lawrence. This is because the deployment of instruments is complicated by the Strait’s remote location, its strong currents, and the presence of thick winter sea ice and icebergs. The present data set aims to provide a long-term time series of currents in the Strait of Belle Isle. Data were collected using a moored Teledyne RDI Workhorse 300 KHz acoustic Doppler current profiler (ADCP). The ADCP was mounted on a subsurface buoy anchored 5 m from the sea floor, in water approximately 70 m deep near the north shore of the Strait (56° 37.2 W, 51° 34.7 N). This instrument provides three-dimensional current profiles every 30 minutes at a vertical resolution of 4 m. Backscatter intensity is also collected at the same resolution. Raw data were processed using the Magtogoek software (https://github.com/iml-gddaiss/magtogoek), developed by the Department of Fisheries and Oceans Canada. Quality flags have been assigned to the data based on beam sidelobe contamination and required thresholds for extreme velocities, beam correlation and percentage of good four-beam transformations. The ancillary data used to apply this quality control are included in the data set. Reference : Shaw, J.-L., & Galbraith, P. S. (2023). Climatology of transport in the Strait of Belle Isle. Journal of Geophysical Research: Oceans, 128, e2022JC019084. https://doi.org/10.1029/2022JC019084

Sectors targeted for urban densification. Polygons resulting from an analysis by the urban planning department and identified as areas conducive to urban densification. **Collection context** Areas determined by the urban planning department. Manual analysis and limits according to an anthropogenic constraint, a street or a zoning limit. **Collection method** Technical drawing and computer-aided mapping. **Attributes** * `ID_ZONAGE` (`long`): Zoning ID * `NUM_ZONE` (`varchar`): Zone number * `GROUPE_USA` (`varchar`): Use group * `LABEL` (`varchar`): Label * `DATE_CREAT` (`date`): Creation date * `DATE_MODIF` (`date`): Date of modification * `USER_MODIF` (`varchar`): Modified by * `Source` (`varchar`): Source * `GRILLE_URL` (`varchar`): Grid of uses For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This provincial layer shows the site locations for waterpower Applicants of Record seeking regulatory approvals for renewable energy projects on Crown land. The ministry will not accept another application for the same lands at the same time under the Renewable Energy on Crown Land (RECL) policy.

Since 1979, Fisheries and Oceans Canada has conducted near-annual mackerel egg surveys in the southern Gulf of St. Lawrence using a standardized methodology. This survey typically takes place over approximately 10 days in June and aims to quantify mackerel eggs, thereby contributing to the stock assessment of the northern contingent. Sampling is conducted at 66 fixed stations arranged in a predefined grid (see included image for station locations and names). Additional stations—following the same sampling methodology—have also been surveyed off of southwestern Newfoundland, eastern Cape Breton and south of Prince Edward Island, as well as in other regions. The mackerel survey is often coordinated with the Atlantic Zone Monitoring Program (AZMP) for the Quebec region, which takes place around the same time using the same research vessel and similar equipment. While these two surveys are distinct, they are coordinated to complement each other. At each station, a tow using 61 cm bongo nets (333 µm mesh size) is towed following a saw-tooth profile through the upper 50 m of the water column. Tows last approximately 10 minutes at a speed of roughly 2.5 knots. These tows target mackerel eggs and larvae but collect other species and plankton stages. The taxonomic identification and classification of the developmental stages of the samples are then carried out in the laboratory. The number of taxon counted varies between survey years, based on new species encountered and identified. Egg development stages (I–V) are recorded only for mackerel. This dataset includes the records of all ichthyoplankton species sampled during the survey. It includes information for each sampling station, including gear specifications, species identifications, and life history stages. Each unique combination of COLLECTOR_STATION_NAME, COLLECTOR_EVENT_ID, START_DATE, START_LAT and START_LON represents a single sampling event, and all rows sharing this combination correspond to individual samples collected during that event. The dataset covers the period from 1983 to 2024 and is updated annually as new data become available. It is important to note that prior to 2023, nearly all species were systematically counted, with only a few exceptions where presence alone was recorded. However, since 2023, data collection has shifted to presence/absence for all species, except capelin larvae, herring larvae, and mackerel eggs and larvae, which continue to be counted. Note – raw data use with caution – please contact the author if you have any questions. The data processing methods used for the stock assessment are described in detail in the following publication: Lehoux, C., Van Beveren, E., and Plourde, S. 2024. Results of the Mackerel (Scomber scombrus L.) Egg Surveys Conducted in the Southern Gulf of St Lawrence from 1979 to 2022. DFO Can. Sci. Advis. Sec. Res. Doc. 2024/037. v + 47 p. https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2024/2024_037-eng.html

A Fire Disturbance Area represents the mapped exterior perimeter of a forest fire. Mapping is derived from a variety of sources, such as GPS points and digitized paper maps. Prior to 1998, only fires greater than 200 hectares were mapped. Since 1998, fires greater than 40 hectares have been mapped. If adequate mapping exists for fires less than 40 hectares in size, they will be included in this data class. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

This category encompasses items of surplus that have been removed from various pieces of furniture and equipment destined for landfills throughout the Province. These pieces are then sent to, or picked up by, various organizations committed to the Province’s continuing program on the diversion of solid waste from Provincial or Municipal landfills. There are other pieces of surplus equipment, such as IT assets, that may be broken, causing removal of sensitive information to be impossible in the traditional manner. In such cases, these items are securely disposed of by the Province’s contracted metal recycler. Other surplus or obsolete electronic items are recycled through the Atlantic Canada’s Electronic Stewardship (ACES) in accordance with the Electronic Product Stewardship Regulations.

This layer is derived from data provided from Nav Canada. Where possible, it is spatially aligned with Ontario land parcel layers. Data is continually updated. This layer should not be used for navigation purposes. Official GEO title: Airport Official

Polyline layer of ATV trails (off-road vehicles) on the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Scanning from orthophotography **Attributes** * `objective` (`OID`): * `season` (`String`): Season * `club_name` (`String`): Name * `class` (`String`): Class * `no_entier` (`String`): Number * `st_length (shape) `(`Double`): Length For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**