List of name of business, operating name, licensed as ferment on premises operators in NS pursuant to the Liquor Control Act

School and Building Information. This data set contains address information on publicly funded school buildings in Ontario.

To identify the Greenbelt Area as defined by the Greenbelt Act, 2005. The outer boundaries of Greenbelt area includes the lands within: * Niagara Escarpment Plan * Oak Ridges Moraine Conservation Plan * Lands designated as Protected Countryside * Lands designated as Urban River Valley

A list of Ontario courthouses and their latitude and longitude coordinates.

Used within the Travellers Road Information Portal Interactive Map to convey transportation related information in both official languages. Camera images are available in real time on certain highways within Central, Eastern & West Ontario. This data is best viewed using Google Earth or similar Keyhole Markup Language (KML) compatible software. For instructions on how to use Google Earth, read the [Google Earth tutorial](http://www.google.com/earth/index.html) **.** This data set is now available via the Ontario 511 Developer API at *[KML]: Keyhole Markup Language

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the GEO imagery program. The dataset consists of overlapping tiles in LAZ format and is 6.29 terabytes in size. Tiles are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data__ For a product in non-overlapping tiles with a ground classification applied, see the [Ontario Classified Point Cloud (Imagery-Derived)](https://geohub.lio.gov.on.ca/datasets/febf17330adb4100a22738e1684b5feb). Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see [Ontario Digital Elevation Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).

All bridges in Ontario are inspected every 2 years using the Ontario Structure Inspection Manual (OSIM) format. The weighted condition of all elements is summarized in the Bridge Condition Index (BCI). More details about the BCI can be found on [the Bridge Safety page](http://www.mto.gov.on.ca/english/highway-bridges/ontario-bridges.shtml) on the Ministry of Transportation website. Bridges that were recently constructed or recently transferred to the Ministry of Transportation may not have been inspected in OSIM format yet. *[OSIM]: Ontario Structure Inspection Manual *[BCI]: Bridge Condition Index

Mineral Claims

Interchanges are shown on the Official Road Map of Ontario (ORM) as information for the travelling public. This feature class includes all interchanges on provincial highways as well as interchanges on other roads (eg. Municipal, outside of Ontario and US) that are shown on the ORM. *[ORM]: Official Road Map *[eg.]: for example *[US]: United States

The Ontario Digital Surface Model (DSM) (Lidar-Derived) Land Information Ontario dataset is a raster product that provides a representation of both surface and ground features derived from a classified lidar point cloud. A DSM is the highest reflective surface of features captured by the sensor. This surface is also referred to as the first reflective surface. The DSM may include: * treetops * rooftops and tops of towers * telephone poles * other natural or artificial features * ground surface if there is no vegetative ground cover The DSM data is available in 1 km by 1 km non-overlapping tiles grouped into packages for download. This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis.