The Ontario Detailed Soil Survey dataset series is at a scale of 1: 50 000 and consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF). Together, these datasets describe the spatial distribution of soils and associated landscapes for nearly all agricultural areas in southern Ontario.

Sea level rise increases coastal flooding in many areas of Canada. The Canadian Extreme Water Level Adaptation tool has been developed to accommodate sea level rise. The infrastructure needs to be built higher in order to reduce the risk of flooding. The vertical allowance is the recommended height that the infrastructure to be raised in future years relative to year 2010. The vertical allowance depends on (1) statistics of historical storm surge and tides, and (2) the best estimate and associated uncertainty of future sea level rise. The vertical allowance preserves the frequency of flooding events at some future time under uncertain sea level rise. Vertical allowances are provided for scenarios based on the fifth assessment report (AR5) of IPCC for the period of 2020-2100 and the sixth assessment report (AR6) of IPCC for the period of 2020-2150. Cite this data as: Zhai, L., Greenan, B., Perrie, W. Data of: Vertical allowance gridded dataset for Canada. Published: February 2024. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5c164079-9785-42fa-8fa5-d886ccbae3b3

Railway network on the territory of the city. **Collection context** Historical data from the Government of Quebec. Additional data by photointerpretation. **Collection method** Computer-aided mapping. **Attributes** * `ID_VFR` (`integer`): Identifier * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by 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).**

Data Description: Monthly mean simulation results from Canada's three Oceans model (sensitivity experiments--2017). Experiment codes can be matched to specific parameter sets following Table 1 in Christian et al 2026 from Canadian Technical Report of Fisheries and Aquatic Sciences 3721. Abstract from the report: A numerical ocean model with biogeochemistry has been developed for a domain that spans Canada's three oceans: the Atlantic, Pacific and Arctic. The domain extends to 26°N in the Atlantic and 44°N in the Pacific, and spans the full width of each basin as well as the whole of the Arctic Ocean. The resolution is moderate to high (≈0.25°, 75 levels). A series of simulations was conducted to assess the best choices for biogeochemical model parameters across the diverse regions, using a variety of validation data sets including satellite ocean colour (surface chlorophyll and particulate organic carbon, integrated primary production), surface underway pCO2, and depth profiles of oxygen and nitrate concentration from ships and Argo floats. An extensive set of parameter sensitivity experiments was conducted which are documented in detail here, with a focus on zooplankton grazing and phytoplankton and zooplankton mortality (linear and quadratic) parameters, and particle sedimentation rates. Sensitivity to many of the parameter adjustments examined is low, but the experiments conducted span the range from weak seasonal biological drawdown of surface inorganic carbon and nutrients, to excessively large drawdown and thermocline oxygen demand. Further, the general nonlinearity of the model response to parameter adjustments is shown by similar parameter sets having very different effects on different data metrics. In addition, the model solution's general insensitivity to some phytoplankton processes (exudation, chlorophyll photooxidation) that are neglected in the 'base case' model simulation is demonstrated. An optimal set of parameters for this domain is proposed, but it is possible that there are unexplored regions of the parameter space that could improve performance, especially if additional observational constraints are applied.

Soil Landscapes of Canada (SLC) derived from V3.1 and V2.2 – Cartographic 1M will provide a general overview of soil landscapes in Canada at a scale of 1: 1 Million.

Polygonal layer of electoral districts for the 2025 election. New balancing of voters increases the number of districts from 11 to 10 for the 2025 election. **Collection context** Review committee to balance the districts according to the data of the Chief Electoral Officer. **Collection method** Analysis of voters by address using cartographic analysis software. Update by computer-aided mapping. **Attributes** * `ID_SEC_DISTRICT_ELEC` (`integer`): Identifier * `DISTRICT_NAME` (`varchar`): District name * `NO` (`integer`): Number * `AREA` (`varchar`): Area * `ADVISOR_NAME` (`varchar`): Recommended * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by 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).**

Sectoral division of leisure districts. **Collection context** Historical breakdown provided by the recreation department. **Collection method** Computer-aided mapping. **Attributes** * `ID_SEC_LOISIR` (`integer`): Identifier * `SECTOR_NUM` (`varchar`): Sector number * `SECTOR_NAME` (`varchar`): Sector name * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `NEIGHBORHOOD` (`varchar`): Neighborhood 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).**

Major assignment layer. **Collection context** Taken from the zoning by-law. **Collection method** Computer-aided mapping. **Attributes** * `ID_ASSIGNATION` (`integer`): Identifier * `ASSIGNMENT` (`varchar`): Assignment * `CODE_ASSIGNATION` (`varchar`): Assignment code * `ZON_AREA` (`numeric`): Area * `SECTOR` (`varchar`): Sector * `NOTE` (`varchar`): Note * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by * `SOURCE` (`varchar`): Source 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).**

The Canada Land Inventory (CLI), 1 100,000, Land Capability and Limitation for Agriculture dataset illustrates the varying potential of a specific area for agricultural production. Classes of land capability for agriculture are based on mineral soils grouped according to their potential and limitations for agricultural use. The classes indicate the degree of limitation imposed by the soil in its use for mechanized agriculture. The subclasses indicate the kinds of limitations that individually or in combination with others, are affecting agricultural land use. Characteristics of the soil as determined by soil surveys.

Graphic representation (linear element) of streets on which speed is regulated (L-12036). According to the last adoption of the regulation in 2014**This third party metadata element was translated using an automated translation tool (Amazon Translate).**