The Service BC Office Locations is comprised of all Service BC locations in the province. These offices provide front line support for many of the hundreds of programs and services the provincial government offers to residents, businesses and visitors.

This dataset represents the Environmental and Socio-economic Assessments (ESA) submitted to the Canada Energy Regulator (CER). The CER has made this and other ESAs available through an online search tool called BERDI (Biophysical Socio-Economic Regional Data and Information). Data extraction methodology is available on the BERDI website. Pipelines represented in this layer include a start and end point.

Contact and location information for StrongStart BC Centres. For dynamic contact information for schools, see http://www.bced.gov.bc.ca/apps/imcl/imclWeb/Home.do or view a map of BC districts and schools at http://www.bced.gov.bc.ca/reporting/maps/welcome.php

This theme presents the index of water health along the banks of the St. Lawrence River. It makes it possible to determine if the sites present risks to human health and if they are suitable for swimming.These data are the result of an exploratory monitoring program that aims to raise awareness among the population and local actors about the possible reopening of bathing sites that have good potential. This program also makes it possible to highlight any improvement in bacteriological quality resulting from the reduction of wastewater overflows during rainy weather or resulting from the installation of disinfection equipment.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.

Temporal analysis of changes in Quebec city based on GeoAI features automatically extracted from satellite images acquired in 2006 and 2022. Simple geospatial analysis enables the detection of features present in 2022 that were not already there in 2006. The addition of new buildings is a good indicator of urban development and/or sprawl.‌GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

This dataset shows official trails and points of interest within Wildlife Management Areas in Manitoba.This dataset shows official trails and points of interest within Wildlife Management Areas (WMAs) in Manitoba. Trails The purpose of this layer is to show recognized trails in Manitoba's wildlife management areas (WMAs). These include designated trails for vehicles, and hiking, biking, and cross-country ski trails. Fields included (alias (field name): field description) OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated WMA (WMA_Name): wildlife management area name Trail Name (Trail_Name): trail name or number Type (Type): trail type (e.g., walking or biking) Restrictions (Restrictions): use restrictions for the trail Points of Interest The purpose of this layer is to show important points of interest within Manitoba's wildlife management areas (WMAs). These include watercraft access points, interpretative kiosks, trail heads, picnic areas, primitive toilets, and ecological features like snake dens. Fields included (alias (field name): field description) OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated WMA (WMA_Name): wildlife management area name Feature Name (Feat_Name): name of the point of interest Type (Type): type of feature (e.g., trailhead, interpretive centre) Details (Details): details about the point of interest More information (Info): link to additional information about the point of interest, when available

This dataset shows official trails and points of interest within Wildlife Management Areas in Manitoba.This dataset shows official trails and points of interest within Wildlife Management Areas (WMAs) in Manitoba. Trails The purpose of this layer is to show recognized trails in Manitoba's wildlife management areas (WMAs). These include designated trails for vehicles, and hiking, biking, and cross-country ski trails. Fields included (alias (field name): field description) OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated WMA (WMA_Name): wildlife management area name Trail Name (Trail_Name): trail name or number Type (Type): trail type (e.g., walking or biking) Restrictions (Restrictions): use restrictions for the trail Points of Interest The purpose of this layer is to show important points of interest within Manitoba's wildlife management areas (WMAs). These include watercraft access points, interpretative kiosks, trail heads, picnic areas, primitive toilets, and ecological features like snake dens. Fields included (alias (field name): field description) OBJECTID (OBJECTID): sequential unique whole numbers that are automatically generated WMA (WMA_Name): wildlife management area name Feature Name (Feat_Name): name of the point of interest Type (Type): type of feature (e.g., trailhead, interpretive centre) Details (Details): details about the point of interest More information (Info): link to additional information about the point of interest, when available

Temporal analysis of changes in Trois-Rivières, Québec, based on GeoAI features automatically extracted from satellite images acquired in 2013 and 2021-22. Simple geospatial analysis intersecting Statistics Canada's Open Database of Buildings, version 3 (ODB v3) with GeoAI multidate building features enables the detection of buildings observed in 2021-22 that were not detected in 2013. The addition of new buildings is a good indicator of urban development and/or sprawl.‌GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

Temporal analysis of changes in the Iqaluit region, Nunavut, based on GeoAI features automatically extracted from satellite images acquired in 2012 and 2022. Simple geospatial analysis intersecting GeoAI multidate building features enables the detection of buildings observed in 2022 that were not detected in 2012. The addition of new buildings is a good indicator of urban development and/or sprawl.GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876