DMTI CanMaps Content and Postal Content Suite 2024 - full series
Datasets available for download
Additional Info
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Last Updated | May 13, 2025, 23:24 (UTC) |
Created | May 13, 2025, 23:21 (UTC) |
Domain / Topic
Domain or topic of the dataset being cataloged.
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Locations and Mapping |
Description
A description of the dataset.
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Important Notice The DMTI CMCS and CMPCS 2024.3 datasets are only available by request from students, staff, and faculty of subscribing institutions. Please email geoportal@scholarsportal.info to request access to the latest data. The DMTI CanMap Content Suite (CMCS) and CanMap Postal Content Suite (CMPCS) 2024.3 is a comprehensive geospatial dataset designed to support a wide range of applications in geographic information systems (GIS). This dataset includes over 300 layers of detailed mapping information, making it a valuable resource for urban planning, infrastructure management, environmental monitoring, and emergency response. The current version of the CMCS and the CMPCS include updates to road networks, address points, and postal code boundaries, reflecting new developments and changes in infrastructure. Key components: CanMap Streetfiles: Detailed street-level data, including road networks, transportation routes, and address ranges. Useful in navigation, route optimization, and logistics planning. Postal Code Suite OM: Postal code information, including six-digit postal code boundaries, delivery mode types, and point of call (POC) data. Useful for precise location-based analysis. Address Points: Geocoded address information. Natural Features Data: Includes information on rivers, lakes, parks, and other natural landmarks. Useful in environmental studies and land use planning. Emergency Services Locations: Data includes the locations of hospitals, fire stations, police stations, and other critical services. Political and Census Boundaries: Provides detailed information on electoral districts, municipal boundaries, and census divisions. Supports demographic analysis and policy development. The following postal code data (down to the neighborhood level) is included in this dataset as part of the DMTI CMPCS collection: Urban and Rural Six-Digit (FSA LDU) Boundaries: Precise delineation of postal code areas. Full Point of Call (POC) Information: Includes detailed delivery mode types, such as residential, business, and community mailboxes. Forward Sortation Areas (FSAs): Larger postal code areas useful for regional analysis. |
Tags
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.pdf - application/pdf, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, .conf, .def, .diff, .in, .ksh, .list, .log, .pl, .text, .txt - text/plain |
Dataset Size
Dataset size in megabytes.
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10 |
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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#r/details/_uri@=3152044734 |
Published Date
Published date of the dataset.
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2024-09-15 |
Time Period Data Span (start date)
Start date of the data in the dataset.
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2024-01-01 |
Time Period Data Span (end date)
End date of time data in the dataset.
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2024-12-31 |
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Toronto |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
Limits on use
Limits on use of data.
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Ontario Council of University Libraries (OCUL) |
Location
Location of the dataset.
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https://geo.scholarsportal.info/#r/details/_uri@=3152044734 |
Data Service
Data service for accessing a dataset.
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DTMI Spatial Data |
Owner
Owner of the dataset.
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DMTI Spatial Inc. |
Contact Point
Who to contact regarding access?
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LightBox DTMI |
Contact Point Email
The email to contact regarding access?
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media@lightboxre.com |
Publisher
Publisher of the dataset.
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Scholars Portal, Ontario Council of University Libraries Toronto Ontario, Canada |
Publisher Email
Email of the publisher.
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datagis@scholarsportal.info |
Author
Author of the dataset.
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Scholars Portal, Ontario Council of University Libraries Toronto Ontario, Canada |
Author Email
Email of the author.
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datagis@scholarsportal.info |
Accessed At
Date the data and metadata was accessed.
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2025-05-13 |
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Identifier
Unique identifier for the dataset.
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#r/details/_uri@=3152044734 |
Language
Language(s) of the dataset
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English |
Link to dataset description
A URL to an external document describing the dataset.
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https://geo.scholarsportal.info/#r/details/_uri@=3152044734 |
Persistent Identifier
Data is identified by a persistent identifier.
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Yes |
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Yes |
Contains data about individuals
Does the data hold data about individuals?
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No |
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
Contains Indigenous Data
Does the data hold data about Indigenous communities?
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No |
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Source
Source of the dataset.
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https://geo.scholarsportal.info/#r/details/_uri@=3152044734 |
Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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Annually |
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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esriMeters |
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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City |
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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