The Community Well-Being (CWB) Index is a method of assessing socio-economic well-being in Canadian communities. Various indicators of socio-economic well-being, including education, labour force activity, income and housing, are derived from Statistics Canada's Census of Population and combined to give each community a well-being "score". These scores are used to compare well-being across First Nations and Inuit communities with well-being in other Canadian communities. Indicator values may be missing for a community because of non-participation in the census, inadequate data quality, or insufficient population size. For more information on the subject, visit https://www.sac-isc.gc.ca/eng/1100100016579.

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 Ontario Hydro Network (OHN) is a provincial medium scale originating from data with regional scales of 1: 10,000 in Southern Ontario, 1: 20,000 in Northern Ontario and 1: 50,000 in the Far North. The shoreline is taken from the OHN - Waterbody data class. This data is used for cartographic purposes and web mapping services. This product requires the use of geographic information system (GIS) software. [Ontario Hydro Network (OHN) User Guide (Word)](https://www.sdc.gov.on.ca/sites/MNRF-PublicDocs/EN/CMID/OHN%20-%20UserGuide.docx)

The Marine Geoscience for Marine Spatial Planning (MGMSP) program, implemented byNatural Resources Canada (NRCan), is an initiative with the goal of offering innovativeregional geoscience products to support the Department of Fisheries and Oceans (DFO) intheir Marine Spatial Planning endeavors. To develop spatial management plans for variousexpansive bioregions across Canada, the DFO has undertaken the task of creatingcomprehensive ocean management strategies. Presently, the MGMSP program isconcentrating its efforts on two significant bioregions, namely the Scotian Shelf andNewfoundland and Labrador Shelves bioregions.In pursuit of this objective, the work presented in this report has focused on theassimilation and gridding of numerous disparate bathymetry datasets sourced fromauthoritative and reliable channels. The purpose of this comprehensive data gatheringapproach is to establish a unified bathymetric grid, with a consistent spatial resolution,which can be utilized in both oceanographic modeling and geological interpretation. Bycollating information from a diverse range of sources, we aim to create a comprehensiveand reliable foundation that will enable accurate and informed decision-making in the fieldof marine spatial planning, as well as enhance the accuracy and reliability of subsequentanalyses and simulations.

To assess the current distribution of kelp beds and other macroalgae in Nova Scotia and Southwest New Brunswick, subtidal drop camera surveys were performed from 2022-2023 at 140 sites. For each site, a GoPro HERO 10 camera was towed along a deep (7-12m) and shallow (3-5m) depth contour until 20 images were acquired per depth. Where possible, species were identified from photos, with particular care given to kelps (defined here as orders Laminariales and Tilopteridales) and fucoids (order Fucales). Crust-forming algae was not counted. Percent cover was calculated using a 10x10 point grid overlaid on each image and recording the dominant cover type at each point. The depth (in meters) of each photo after correcting for tide height ranged from ~0.5m to ~12m. Depths were corrected to chart datum (lowest astronomical tide) using tide predictions from the nearest tide station, taken from tides.gc.ca. Sampling was performed between July and October. Cite this data as: Krumhansl K, Brooks C, Lowen B, DiBacco C, (2025). Camera Surveys of the Subtidal Flora of Nova Scotia and Southwest New Brunswick 2022-2023. Version 1.7. Fisheries and Oceans Canada. Samplingevent dataset. https://ipt.iobis.org/obiscanada/resource?r=camera_surveys_of_the_subtidal_flora_of_nova_scotia_2022-2023&v=1.7For additional information please see:Krumhansl K.A., Brooks C.M., Lowen B., O’Brien J., Wong M., DiBacco C. Loss, resilience and recovery of kelp forests in a region of rapid ocean warming. Annals of Botany 2024 Mar 8; 133(1):73-92. Brooks C.M., Krumhansl K.A. 2023. First record of the Asian Antithamnion sparsum Tokida, 1932 (Ceramiales, Rhodophyta) in Nova Scotia, Canada. BioInvasions Records 12(3):745-725.

Digitization of long-term water chemistry data collected between 1920's - 1990's from lakes across Saskatchewan by the Saskatchewan Fisheries Research Laboratory. Samples were collected using methods from the Standard Methods for the Examination of Water and Wastewater (APHA, AWWA and WPCF). This data serves as a baseline for water quality.This dataset is a digitization from paper records of water chemistry data across Saskatchewan collected by the Saskatchewan Fisheries Research Laboratory. Data ranges from the 1920's to the 1990's and were sampled using methodes from the Standard Methods for the Examination of Water and Wastewater (American Public Health Association, American Water Works Association and Water Pollution Control Facility) This long-term water chemistry data serves as a baseline for water quality. Different variables of water chemistry are organized into individual fields. The units of measurement appear at the end of each field name. Due to the historical nature of the data some uncertainty exist in values.  Additonal notes on data: ND: no detection Trace: trace amounts Nil: zero NA: no data 

Highway Planning and Design's 2016 Manitoba Road Network.The 2016 Manitoba Road Network was created by Manitoba Infrastructure --> Highway Engineering--> Highway Planning and Design. The department’s linear referencing system (LRS) uses Control Sections as a linear referencing method (LRM). The LRM is the digital representation of the Highway Network in Manitoba. The features indicate highway number and highway identity. This data was corrected using 1:60,000 digital ortho aerial photography dated from 1991-1998. Linear features have been updated on a yearly basis using GPS data, CAD files and 50cm imagery from 2007-2014, and is considered accurate to two-to-seven metres. Please note that this feature layer primarily contains only the roads that Manitoba Infrastructure is responsible for, i.e. Provincial Trunk Highways, Provincial Roads and Access Roads. However, you may also see Earth Roads (under construction) or Other roads (such as those passing through national parks and are federal responsibility). A newer version of this data is available: Manitoba Road Network 2018. Field List - FIELD NAME (Field Alias (i.e. display name)) in parenthesis) OBJECTID (OBJECTID) - Sequential, unique whole numbers are automatically generated. SHAPE (SHAPE) - A field to hold geometry information. ID (ID) - Unique Identifier generated by Oracle. CS_ID (Control Section ID) - Non unique identifier linking segment to its respective control section. ROAD_NO_SIGNED (Road Number Signed) - The road number. Note though, that in the case of co-routes, the lower highway number appears. This is a text field and differs from ROAD_NO only where there are city routes, for example 1A. ROAD_LOCATION (Road Location) - Access Road locations. DESCRIPTION (Road Description) - A text description of the start and end locations of each segment. CS_KEY (Control Section Key) - An information rich key containing Region (two digits), Road Number (three digits), Section number (three digits), the Road Type (one character), and direction of travel (one character). REGION_NO (MI Region) - The Manitoba Infrastructure region the segment is in. Regions 1-5. ROAD_NO (Road Number) - The road number. Note co-routes will have the lesser highway number. SECTION_NO (Section Number) - The control section's section number. START_KM (Start Kilometre (KM)) - The beginning of the Control Section (always zero). END_KM (End Kilometre (KM)) - The number of kilometres to the end of the Control Section. LENGTH_KM (Length Kilometres (KM)) - End Kilometre minus the Start Kilometre. ROAD_TYPE (Road Type) - The road type, i.e. PTHs, PRs, and Access Roads (Earth roads under construction may also be included). ROAD_DIRECTION (Road Direction) - A = ahead direction on a divided highway (i.e. following the digitizing direction), B = Back direction on a divided Highway (i.e. against the digitizing direction, and U= an undivided highway. ROAD_IDENTITY (Road Identity) - Road identity i.e. Provincial Road, Earth Road, Access Road and Other Road. NATIONAL_HIGHWAY_CLASS (National Highway Classification) - The national highway classification standard. START_DATE (Start Date) - The date the segment was created in the database. INVENTORY_YEAR (Inventory Year) - The year the road segment was opened to the public. SHAPE_Length (Segment Length) - An automatically generated length field based on geometry.

**CHS NONNA Data Portal was last updated: March 30, 2025 **The Canadian Hydrographic Service (CHS) offers a complete inventory of bathymetric data free to the general public for non-navigational use called 'CHS NONNA' for the 'NON-NAvigational' purpose of the data. The product is available in a spatial resolution of 10 metres or 100 metres.To directly access the CHS NONNA Data Portal please follow this link - https://data.chs-shc.ca/login(Note: The data portal is NOT compatible with Internet Explorer browser).Terms of UseThe Canadian Hydrographic Service (CHS) NONNA Data products are for NON-NAVIGATIONAL USE ONLY. Please see the Open Data Licence below and the CHS NONNA LICENCE viewable on https://data.chs-shc.ca/login and downloadable with the NONNA data, for the full terms and conditions governing the use of this data.----- PRODUCT DESCRIPTION -----The CHS NONNA-10 NONNA-100 and NONNA Package Bathymetric Data products represent a consolidation of digital bathymetric sources managed by the CHS in Canadian jurisdiction.The « NONNA » refers to NON-NAvigational.The « 10 » or « 100 » references the approximate resolution (in metres) of the data.NONNA PackagesA NONNA Package is a ZIP file containing a collection of NONNAP datasets to ease the download of large amounts of high resolution data. Packages are currently available for data sources of approximately 10 metre resolution.The «P10 » refers to the Packages and approximate resolution (in metres) of the data.The CHS NONNA-10 individual product coverage (resolution) is as follows: • South of 68°N the products = 0.1° latitude X 0.1° longitude (0.0001 degrees) • 68°N-80°N the products = 0.1° latitude X 0.2° longitude (0.0002 degrees) • 80°N and north the products = 0.1° latitude X 0.4° longitude (0.0004 degrees)The CHS NONNA-100 individual product coverage (resolution) is as follows: • South of 68°N the products = 1° latitude X 1° longitude (0.001 degrees) • 68°N-80°N the products = 1° latitude X 2° longitude (0.002 degrees) • 80°N and north the products = 1° latitude X 4° longitude (0.004 degrees)The CHS NONNA-P10 Packages are ZIP files that contain product coverage (resolution) defined as: • South of 68°N the products = 1° latitude X 1° longitude (0.0001 degrees) • 68°N-80°N the products = 1° latitude X 2° longitude (0.0002 degrees) • 80°N and north the products = 1° latitude X 4° longitude (0.0004 degrees)----- DATUM ----- All CHS NONNA data sources are horizontally referenced to the World Geodetic System 1984 (WGS84) ESPG:4326 and vertically referenced to Chart Datum (CD), a tidal or water level datum that is locally derived and, of which, the depth of water should seldom fall below. For more information on vertical references visit:https://tides.gc.ca/tides/en/vertical-datum-chart-references ----- DATA PRESENTATION -----CHS NONNA products adhere to the following naming convention: NONNAXXX_SouthwestCorner Example: NONNAP10_4360N07940W • NONNAP10 = the product NONNAP10 • 4360N07940W = the southwest corner of the NONNA cell.These products are available to view, query and download via the CHS NONNA Data Portal. The following formats are available for download:• 32-bit GeoTIFF• ASCII++ (XYZ)• CSAR• BAGThese formats can be opened using various GIS applications.Alternatively, the CHS NONNA products can be accessed via Web Map Service (WMS), Web Coverage Service (WCS) or Web Map Tile Service (WMTS) links: WMS https://nonna-geoserver.data.chs-shc.ca/geoserver/wms?request=GetCapabilitiesWMTS https://nonna-geoserver.data.chs-shc.ca/geoserver/gwc/service/wmts?request=GetCapabilitiesWCS https://nonna-geoserver.data.chs-shc.ca/geoserver/wcs?request=GetCapabilities*Note*Gaps in the data may be visible where modern surveys have not yet been conducted, the data is not updated to Chart Datum (CD) or where legacy data has not yet been digitized. In addition, there may be data sources removed from the Data Portal for further processing in the CHS’ Bathymetric Database, and will not be available until such work is complete.Data sources included in the NONNA products may not have been subjected to the same level of quality assurance as those in official navigational products.*Help*New users of the CHS NONNA Data Portal are encouraged to fully review the 'CHS NONNA Data Portal Guidance Document' (PDF) which is available below in the RESOURCES section of this page.

The Nova Scotia Hydrographic Network is an enhanced version of the Nova Scotia Topographic Database's Water Features theme. This dataset includes network spines for connectivity of water flow and various attribution for flow direction, priority of water flow and toponymic objects where applicable.

Highway Planning and Design's 2017 Manitoba Road Network.The 2017 Manitoba Road Network was created by Manitoba Infrastructure --> Highway Engineering--> Highway Planning and Design. The department’s linear referencing system (LRS) uses Control Sections as a linear referencing method (LRM). The LRM is the digital representation of the Highway Network in Manitoba. The features indicate highway number and highway identity. This data was corrected using 1:60,000 digital ortho aerial photography dated from 1991-1998. Linear features have been updated on a yearly basis using GPS data, CAD files and 50cm imagery from 2007-2014, and is considered accurate to two-to-seven metres. Please note that this feature layer primarily contains only the roads that Manitoba Infrastructure is responsible for, i.e. Provincial Trunk Highways, Provincial Roads and Access Roads. However, you may also see Earth Roads (under construction) or Other roads (such as those passing through national parks and are federal responsibility). A newer version of this data is available: Manitoba Road Network 2018. Field List - FIELD NAME (Field Alias (i.e. display name)) in parenthesis)OBJECTID (OBJECTID) - Sequential, unique whole numbers are automatically generated.SHAPE (SHAPE) - A field to hold geometry information. ID (ID) - Unique Identifier generated by Oracle.CS_ID (Control Section ID) - Non unique identifier linking segment to its respective control section.ROAD_NO_SIGNED (Road Number Signed) - The road number. Note though, that in the case of co-routes, the lower highway number appears. This is a text field and differs from ROAD_NO only where there are city routes, for example 1A.ROAD_LOCATION (Road Location) - Access Road locations.DESCRIPTION (Road Description) - A text description of the start and end locations of each segment. CS_KEY (Control Section Key) - An information rich key containing Region (two digits), Road Number (three digits), Section number (three digits), the Road Type (one character), and direction of travel (one character).REGION_NO (MI Region) - The Manitoba Infrastructure region the segment is in. Regions 1-5.ROAD_NO (Road Number) - The road number. Note co-routes will have the lesser highway number. SECTION_NO (Section Number) - The control section's section number.START_KM (Start Kilometre (KM)) - The beginning of the Control Section (always zero).END_KM (End Kilometre (KM)) - The number of kilometres to the end of the Control Section.LENGTH_KM (Length Kilometres (KM)) - End Kilometre minus the Start Kilometre. ROAD_TYPE (Road Type) - The road type, i.e. PTHs, PRs, and Access Roads (Earth roads under construction may also be included). ROAD_DIRECTION (Road Direction) - A = ahead direction on a divided highway (i.e. following the digitizing direction), B = Back direction on a divided Highway (i.e. against the digitizing direction, and U= an undivided highway.ROAD_IDENTITY (Road Identity) - Road identity i.e. Provincial Road, Earth Road, Access Road and Other Road.NATIONAL_HIGHWAY_CLASS (National Highway Classification) - The national highway classification standard.START_DATE (Start Date) - The date the segment was created in the database. INVENTORY_YEAR (Inventory Year) - The year the road segment was opened to the public. SHAPE_Length (Segment Length) - An automatically generated length field based on geometry.