Mission Statement
Mission Statement As Toronto experiences increasing impacts of climate change, the city will experience more frequent extreme heat events.1 As an urban environment, Toronto is at risk of experiencing urban heat islands, or temperatures that are higher in dense urban areas in comparison to surrounding rural areas. Extreme heat events and urban heat islands pose a serious risk to human health.2 Management of extreme weather events include increasing demands on natural resources such as energy and water.3 Toronto has begun to develop sustainable approaches to adapting to these weather events.1 These extreme heat events may have greater effects on residents with greater heat vulnerability.4 To ensure prevention of heat emergency related health effects and utilization of heat emergency refuge, we propose an application which demonstrates the following three components of extreme heat events: It is our mission to support a sustainable city that provides residents, regardless of background or identity, the tools they need to prevent suffering during extreme heat waves. Cool Toronto has a mission to support a sustainable city that provides residents, regardless of background or identity, the tools they need to prevent suffering during extreme heat waves. It allows users to understand the effects of urban heat islands, where they are most prevalent to occur, and how to deal with them. Users can interact with the app interface, allowing for emergency preparedness and city sustainability. Community Clever Maps, Sustainable Solutions. References:1. The City of Toronto. Extreme Weather. The City of Toronto (2022).2. Health Canada. Reducing urban heat islands to protect health in Canada. (2020).3. Vanos, J. K. et al. Human Energy Budget Modeling in Urban Parks in Toronto and Applications to Emergency Heat Stress Preparedness. Journal of Applied Meteorology and Climatology 51, 1639–1653 (2012).4. Leal Filho, W., Echevarria Icaza, L., Neht, A., Klavins, M. & Morgan, E. A. Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context. Journal of Cleaner Production 171, 1140–1149 (2018).
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Additional Info
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| Last Updated | March 24, 2026, 22:47 (UTC) |
| Created | March 24, 2026, 22:47 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Mission Statement |
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Description
A description of the dataset.
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Mission Statement As Toronto experiences increasing impacts of climate change, the city will experience more frequent extreme heat events.1 As an urban environment, Toronto is at risk of experiencing urban heat islands, or temperatures that are higher in dense urban areas in comparison to surrounding rural areas. Extreme heat events and urban heat islands pose a serious risk to human health.2 Management of extreme weather events include increasing demands on natural resources such as energy and water.3 Toronto has begun to develop sustainable approaches to adapting to these weather events.1 These extreme heat events may have greater effects on residents with greater heat vulnerability.4 To ensure prevention of heat emergency related health effects and utilization of heat emergency refuge, we propose an application which demonstrates the following three components of extreme heat events: It is our mission to support a sustainable city that provides residents, regardless of background or identity, the tools they need to prevent suffering during extreme heat waves. Cool Toronto has a mission to support a sustainable city that provides residents, regardless of background or identity, the tools they need to prevent suffering during extreme heat waves. It allows users to understand the effects of urban heat islands, where they are most prevalent to occur, and how to deal with them. Users can interact with the app interface, allowing for emergency preparedness and city sustainability. Community Clever Maps, Sustainable Solutions. References:1. The City of Toronto. Extreme Weather. The City of Toronto (2022).2. Health Canada. Reducing urban heat islands to protect health in Canada. (2020).3. Vanos, J. K. et al. Human Energy Budget Modeling in Urban Parks in Toronto and Applications to Emergency Heat Stress Preparedness. Journal of Applied Meteorology and Climatology 51, 1639–1653 (2012).4. Leal Filho, W., Echevarria Icaza, L., Neht, A., Klavins, M. & Morgan, E. A. Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context. Journal of Cleaner Production 171, 1140–1149 (2018). |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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366.86 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2022-02-23 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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License not specified |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://clever-cartophers-toronto-heat-response-utoronto.hub.arcgis.com/datasets/63fb3873d4da4575a243ba174aa29355 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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nortonam_utoronto |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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nortonam_utoronto |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2022-02-25 |
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Identifier
Unique identifier for the dataset.
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63fb3873d4da4575a243ba174aa29355 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://clever-cartophers-toronto-heat-response-utoronto.hub.arcgis.com/datasets/63fb3873d4da4575a243ba174aa29355 |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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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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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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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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