Data tracking historical truck travel speeds from the road network performance project. The travel speeds, Travel Time Index (TTI), Delay Index (DI) and Buffer Time Index (BTI) were calculated with GPS data collected by GPS fleet tracking units. This data is used by the Ministry of Transportation to monitor truck speed and performance on major roadways within Ontario. *[GPS]: Global Positioning System

This dataset provides details on the location of MTO aggregate pits. Aggregate pits provide the material necessary to build roadways in the province. Official LIO title: Aggregate Sites MTO *[MTO]: Ministry of Transportation

List of Businesses / Persons licensed to operate as direct sellers in Nova Scotia

Business / Person that acts as an agent for a lender in arranging consumer loans

The Ontario Lidar Digital Terrain Model (DTM) Geospatial Ontario (GEO) Dataset is a raster product representing the bare-earth terrain derived from a classified lidar point cloud. The DTM data is available in the form of 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, as such 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.

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

Mining Leases

Coal Exploration Licences

The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy 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. __Related data:__ Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [Ontario Digital Terrain Model (Lidar-Derived)]( https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-terrain-model-lidar-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Lidar-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-lidar-derived/about).

Pavement condition data is collected annually using an Automatic Road Analyzer (ARAN). Based on the automated data, the condition of the pavement is evaluated in terms of distresses (Distress Manifestation Index, DMI), wheel track rutting (in mm) and roughness (International Roughness Index, IRI). These indices are integrated into one Pavement Condition Index (PCI) for overall pavement condition reporting and analysis.