Commercial Vehicle Survey Data - Equivalent single axle load
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Commercial Vehicle Survey Data - Equivalent...CSV
This dataset contains 2016 and 2041 projections of equivalent single axle...
Additional Info
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| Last Updated | July 15, 2024, 16:48 (UTC) |
| Created | March 21, 2023, 23:20 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Transportation |
| Description
A description of the dataset.
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This dataset contains 2016 and 2041 projections of equivalent single axle loads for commercial vehicles on provincial highways, based on the 2012 Commercial Vehicle Survey. Equivalent single axle load is the measure used for road surface design. Equivalent Single Axle Loadings (ESAL) are derived from the axle weight measurements from the 2012 Ontario Commercial Vehicle Survey data. All values are factored up to represent the Annual Average Daily Truck Traffic (AADTT) for each segment. ESAL16: 2016 Equivalent Single Axle Load (ESAL) assigned to road network link; ESAL41: 2041 Forecast Equivalent Single Axle Load (ESAL) assigned to road network link |
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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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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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2021-09-28 |
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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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Ontario |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Open |
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Limits on use
Limits on use of data.
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Open Government Licence – Ontario |
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Location
Location of the dataset.
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https://data.ontario.ca/dataset/commercial-vehicle-survey-data-equivalent-single-axle-load |
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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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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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Ministry of Transportation |
| Author Email
Email of the author.
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mtoinfo@ontario.ca |
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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French, English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://icorridor-mto-on-ca.hub.arcgis.com/datasets/d99eec240e044e269724c15f986a760f_0/about |
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Persistent Identifier
Data is identified by a persistent identifier.
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N/A |
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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N/A |
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Contains data about individuals
Does the data hold data about individuals?
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No |
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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N/A |
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Source
Source of the dataset.
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https://data.ontario.ca/dataset/commercial-vehicle-survey-data-equivalent-single-axle-load |
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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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Machine readable |
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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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