Buildings 3D

The dataset titled "Buildings 3D" falls under the domain of Construction and is tagged with keywords such as Building footprint, Development Feasibility, and Housing Potential. It is available in various formats including CSV, SHP, GeoJSON, KML, ZIP, TXT, XLS, GPKG, and Geodatabase. The dataset, which is approximately 2000 MB in size, was published on March 17, 2022, and spans a time period from March 15, 2022, to May 13, 2024. The geospatial data covers the area of Oakville and is accessible under an open category with usage limits defined by the Town of Oakville Open Data License. The dataset is located in ArcGIS data service and is owned by the Town of Oakville.

The contact point for accessing the dataset is Oakville_GIS, and they can be reached at maps@oakville.ca. The dataset was authored and published by the Town of Oakville, and the publisher can also be contacted at the same email address. The dataset was last accessed on March 25, 2025, and is identified by the metadata identifier "/datasets/ExploreOakville::buildings-3d/about". The dataset is in English and does not contain data about individuals, identifiable individuals, or Indigenous communities. It is a version of another dataset, and its provenance URL is provided. The dataset has an irregular temporal resolution and a city-level geospatial resolution. It consists of 71,624 rows, 11 columns, and 787,864 data cells. The dataset is described as 3D buildings derived from Lidar and existing building footprints, with the roof lines being mere representations. The dataset is licensed under the Town of Oakville Open Data License and its metadata was last modified on March 28, 2025.

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Additional Info

Field Value
Last Updated March 31, 2025, 12:51 PM (UTC+00:00)
Created March 26, 2025, 2:15 AM (UTC+00:00)
Domain / Topic
Domain or topic of the dataset being cataloged.
Construction
Description
A description of the dataset.

Town of Oakville 3D Buildings

Buildings were derived from Lidar, and existing building footprint. The 3D buildings have been derived at an LOD 2.0. Please note that the roof lines on the buildings are not accurate and merely a representation.
Tags
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv, application/vnd.shp, application/geo+json, .kml - application/vnd.google-earth.kml+xml, .zip - application/zip, .conf, .def, .diff, .in, .ksh, .list, .log, .pl, .text, .txt - text/plain, .xla, .xlb, .xlc, .xlm, .xls, .xlt, .xlw - application/vnd.ms-excel, application/vnd.gentoo.gpkg, application/geopackage+sqlite3
Dataset Size
Dataset size in megabytes.
2000
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
/datasets/ExploreOakville::buildings-3d/about
Published Date
Published date of the dataset.
2022-03-17
Time Period Data Span (start date)
Start date of the data in the dataset.
2022-03-15
Time Period Data Span (end date)
End date of time data in the dataset.
2024-05-13
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Oakville
chatgpt_summary The dataset titled "Buildings 3D" falls under the domain of Construction and is tagged with keywords such as Building footprint, Development Feasibility, and Housing Potential. It is available in various formats including CSV, SHP, GeoJSON, KML, ZIP, TXT, XLS, GPKG, and Geodatabase. The dataset, which is approximately 2000 MB in size, was published on March 17, 2022, and spans a time period from March 15, 2022, to May 13, 2024. The geospatial data covers the area of Oakville and is accessible under an open category with usage limits defined by the Town of Oakville Open Data License. The dataset is located and can be accessed via the ArcGIS data service. The dataset is owned, published, and authored by the Town of Oakville, and any queries regarding access can be directed to Oakville_GIS at maps@oakville.ca. The dataset was last accessed on March 25, 2025, and is identified by the unique identifier /datasets/ExploreOakville::buildings-3d/about. The dataset is in English and does not contain data about individuals, identifiable individuals, or Indigenous communities. It is a version of another dataset and its provenance URL is provided. The dataset has an irregular temporal resolution and a city-level geospatial resolution in esriMeters. It consists of 71,624 rows, 11 columns, and 787,864 data cells. The dataset is described as the Town of Oakville's 3D Buildings derived from Lidar and existing building footprints. The dataset is licensed under the Town of Oakville Open Data License and its metadata was created and last modified on March 26, 2025.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
Town of Oakville Open Data License
Limits on use
Limits on use of data.
Town of Oakville Open Data License
Location
Location of the dataset.
Oakville
Data Service
Data service for accessing a dataset.
ArcGIS
Owner
Owner of the dataset.
Town of Oakville
Contact Point
Who to contact regarding access?
Oakville_GIS
Contact Point Email
The email to contact regarding access?
maps@oakville.ca
Publisher
Publisher of the dataset.
Town of Oakville
Publisher Email
Email of the publisher.
maps@oakville.ca
Author
Author of the dataset.
Town of Oakville
Author Email
Email of the author.
maps@oakville.ca
Accessed At
Date the data and metadata was accessed.
2025-03-25
Field Value
Identifier
Unique identifier for the dataset.
/datasets/ExploreOakville::buildings-3d/about
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://services5.arcgis.com/QJebCdoMf4PF8fJP/arcgis/rest/services/Buildings3D/FeatureServer/0
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
No
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://portal-exploreoakville.opendata.arcgis.com/datasets/ExploreOakville::buildings-3d/about
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
https://utoronto.maps.arcgis.com/home/item.html?id=2f45e06c0a7d4bc595d62550f4bcad5f
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
https://utoronto.maps.arcgis.com/sharing/rest/content/items/2f45e06c0a7d4bc595d62550f4bcad5f/info/metadata/metadata.xml?format=default&output=html
Temporal resolution
Describes how granular the date/time data in the dataset is.
Irregular
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
esriMeters
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
City
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
71,624
Number of data columns
If tabular dataset, total number of unique columns.
11
Number of data cells
If tabular dataset, total number of cells with data.
787,864
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
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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