The Canadian Hydrospatial Network (CHN) is an analysis-ready geospatial network of features that help enable the modelling of surface water flow in Canada. The six main layers and feature types are: flowlines, waterbodies, catchments, catchment aggregates, work units, and hydro nodes. Where possible the CHN is derived from high resolution source data such as Light Detection and Ranging (LiDAR) derived Digital Elevation Models (DEMs) and aerial imagery, to name a few. If existing provincial or territorial hydrographic networks meet the standards, they are incorporated into the CHN, otherwise automatic extraction methods are used on the high-resolution source data. To provide full network connectivity, if neither of these methods is possible in a region, the NHN is converted into the CHN until higher-resolution source data is available.Additional value-added attributes are included in the CHN to aid modelling, such as stream order and reach slope. The CHN physical model and features are also closely aligned and harmonized with the USGS 3DHP hydrographic network, which aids trans-border modelling. Where possible geonames (i.e. toponyms) are also added.The CHN is produced and disseminated by hydrologically connected geographic areas called work units. Work units can contain just one watershed, several small adjacent watersheds outletting into a large body of water, or be one of many parts of a larger watershed. In all cases, the features of a work unit are hydrologically connected. This is a more natural approach to data delivery, in comparison to data that is split into tiles. A generalized work unit index file is provided in the downloads to help users decide which files to download.For more information on the CHN please visit the project webpage: https://natural-resources.canada.ca/canadian-hydrospatial-network

The Canadian Aquatic Biomonitoring Network (CABIN) is an aquatic biomonitoring program for assessing the health of fresh water ecosystems in Canada. Benthic macroinvertebrates are collected at a site location and their counts are used as an indicator of the health of that water body. CABIN is based on the network of networks approach that promotes inter-agency collaboration and data-sharing to achieve consistent and comparable reporting on fresh water quality and aquatic ecosystem conditions in Canada. The program is maintained by Environment and Climate Change Canada (ECCC) to support the collection, assessment, reporting and distribution of biological monitoring information. A set of nationally standardized CABIN protocols are used for field collection, laboratory work, and analysis of biological monitoring data. A training program is available to certify participants in the standard protocols. There are two types of sites in the CABIN database (reference and test). Reference sites represent habitats that are closest to “natural” before any human impact. The data from reference sites are used to create reference models that CABIN partners use to evaluate their test sites in an approach known as the Reference Condition Approach (RCA). Using the RCA models, CABIN partners match their test sites to groups of reference sites on similar habitats and compare the observed macroinvertebrate communities. The extent of the differences between the test site communities and the reference site communities allows CABIN partners to estimate the severity of the impacts at those locations. CABIN samples have been collected since 1987 and are organized in the database by study (partner project). The data is delineated by the 11 major drainage areas (MDA) found in Canada and each one has a corresponding study, habitat and benthic invertebrate data file. Links to auxiliary water quality data are provided when available. Visits may be conducted at the same location over time with repeat site visits being identified by identical study name / site code with different dates. All data collected by the federal government is available on Open Data and more partners are adding their data continually. The csv files are updated monthly. Contact the CABIN study authority to request permission to access non open data.

The current and most detailed version of the approved corporate provincial digital Biogeoclimatic Ecosystem Classification (BEC) Zone/Subzone/Variant/Phase map (version 13.1, July 8 2026). Use this version when performing GIS analysis regardless of scale. This mapping is deliberately extended across the ocean, lakes, glaciers, etc to facilitate intersection with a terrestrial landcover layer of your choice

This hexagonal polygon dataset identifies potential suitable foraging habitat for Northern Goshawk (NOGO) within the Cariboo Natural Resource Region.

This set provides users of the Société de Transport de Montréal (STM) public transport with timetables, real-time bus positioning and, since version 2, data on the occupancy rate on board buses. *To access GTFS—Realtime and the i3 API, register on the [Developers] Portal (https://www.stm.info/fr/a-propos/developpeurs) *.Note:This data set is the property of the Société de transport de Montréal. Consequently, according to the attribution clause of the Creative Commons 4.0 license, the authorship of the data must be attributed to the Société de transport de Montréal.Please contact the Société de transport de Montréal (dev@stm.info) if you have any questions about this package.The routes of bus and metro lines as well as the planned schedules of their trips are also [available] (https://donnees.montreal.ca/organization/societe-de-transport-de-montreal) in open data.__Warning__: The GTFS-Realtime v1 API will reach end of life in the coming weeks. It will no longer be available after Friday, May 28, 2021. After this date, you will need to use version 2 of the GTFS-RealTime API.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The National Railway Network (NRWN), version 1.0 focuses on providing a quality geometric description and a set of basic attributes of Canadian rail phenomena.

All files and resources that allow you to connect to planned and real-time data from the Société de transport de Trois-Rivières.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

Polyline layer of the shuttle circuit of the Shawinigan Public Transport Board (RTCS) on the territory of the city of Shawinigan.! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg)! [RTCS logo] (https://jmap.shawinigan.ca/doc/photos/RTCS-Copie.jpg)**Attributes*** _objectid_ (_OID_): * _st_length (shape) _ (_Double_): Length* _schedule_ (_String_): 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).**

An archive of 2D regional seismic and long period magnetotelluric data collected during 20 years of work under the LITHOPROBE project. Data are primarily onshore and cover widespread regions of Canada. Available data types include raw digital data, processed sections, and images of final sections, as well as auxiliary information required for analysis of the data.