The Standardized Precipitation Index (SPI) was generated for certain Environment Canada long-term climate stations in Ontario. The SPI quantifies the precipitation deficit and surplus for multiple time scales , including: * one month * three months * six months * nine months * 12 months * 24 months You can use the SPI to study the impact of dry and wet weather conditions to create comprehensive water management approaches. The SPI data package is distributed as a Microsoft Access Geodatabase. __This is a legacy dataset that we no longer maintain or support.__ The documents referenced in this record may contain URLs (links) that were valid when published, but now link to sites or pages that no longer exist.

This date set contains up-to date information regarding current and future roadwork occuring on provicnally owned and maintained highways, and is available to be viewed on [Ontario 511](https://511on.ca) under the "construction and roadwork" layer. This data set can also be viewed on the Ontario 511 text report page at https://511on.ca/list/roadwork.

Used within the Travellers Road Information Portal Interactive Map to convey transportation related information in both official languages. Contains a list of ferry service locations operated by the Ministry of Transportation within 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

Border crossings are a feature included on the Official Road Map of Ontario (ORM) for information purposes to the travelling public. Included are highway-land and ferry crossings. It was created as part of the Digital Cartographic Reference Base (DCRB) for the production of the ORM.

From 2003 to January 12, 2014, Ministry of Children and Youth Services used the following 9 regions: * Eastern * South East * Central East * Central West * South West * Hamilton/Niagara * Toronto * North East * Northern These 9 Service Delivery Division regions were combined with Youth Justice Services regions to create 5 new integrated regions: * North * West * Central * East * Toronto These new regions are effective as of January 13, 2014.

The purpose of this dataset is to identify the location of river valley connections.

Data provided shows grants and contributions provided to Canadian firms by National Research Council (NRC) and its Industrial Research Assistance Program (IRAP) between April 1, 2020 and March 31, 2021.

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.

The Ontario Classified Point Cloud (Imagery-Derived) is a classified elevation point cloud based on aerial photography. The point cloud is structured in non-overlapping 1 km by 1 km tiles in a compressed format. The following classification codes are applied to the data: * unclassified * ground * low noise 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 for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see the [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).

Data are contaminants in tissue of caged mussels put in the river for 3 weeks at about 25 stations located on the Canadian and US side of the river. The main objective of the study is to identify contaminant sources, or source areas requiring more detailed follow-up investigations, based on the level  of contaminants in the mussels. Compounds monitored include: * organochlorinated pesticides * Polychlorinated biphenyls * dioxins/furan * chlorinated benzenes * Polycyclic aromatic hydrocarbons * industrial organic compounds