The wildlife values area and site datasets represent the consolidation of 13 wildlife data classes collected by the Ministry of Natural Resources. The data estimates locations used by wildlife for various reasons, including: * breeding * calving and fawning * denning * feeding * staging * nesting * wintering * general habitat areas * nurseries * travel corridors Locations are represented as points (site) or polygons (area) and may be related to a specific species or described more generally. Wildlife values data is most often used to support policy and legislation associated with the Crown Forest Sustainability Act. The data may also be used to inform a wide range of resource management activities and decisions. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting [geospatial@ontario.ca](geospatial@ontario.ca).

The wildlife values area and site datasets represent the consolidation of 13 wildlife data classes collected by the Ministry of Natural Resources. The data estimates locations used by wildlife for various reasons, including: * breeding * calving and fawning * denning * feeding * staging * nesting * wintering * general habitat areas * nurseries * travel corridors Locations are represented as points (site) or polygons (area) and may be related to a specific species or described more generally. Wildlife values data is most often used to support policy and legislation associated with the Crown Forest Sustainability Act. The data may also be used to inform a wide range of resource management activities and decisions. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting [geospatial@ontario.ca](geospatial@ontario.ca).

The National Rail Network (NRWN) is a geometric and attributive description of the Canadian rail network.The NRWN product consists of the features classes: Track Segment, Railway Crossing, Railway Station, Marker Post, Junction and Railway Structure. Descriptive attributes include amongst others: Track Classification, Track Name, Track Operator, Track User, Track Owner, Subdivision Name, Junction Type, Crossing Type, Level of Crossing, Warning System, Transport Canada Identifier, Station Name, Station Type, Station User, Structure Type.

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

This data set contains Manitoba market cattle prices and volumes sold at local auction marts.Description of Cattle Prices -source

Surface drainage features including rivers, streams, lakes, islands, and watershed boundaries including names for many rivers and streams. Individual components of this dataset can be found on DNRED’s Open Data Catalogue. Those individual components may be more up-to-date than those used in this packaged dataset.

Douglas Fir Management for Mule Deer used in SRMP analysis

Administrative division**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__.The **dendrometric lidar map** presents various dendrometric characteristics useful in particular in forest planning. It is a product in vector format that is complementary to the results of forest compilations found in the [Original Ecoforest Map and Current Inventory Results] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and in the [Results of forest compilations by forel] (https://www.donneesquebec.ca/recherche/dataset/compilations-forestieres-originales-par-forel-methode-k-nn). The geometric entities defined from the lidar data are at a finer scale than those in the ecoforest map. The main variables predicted and accessible in the product are as follows:+ Usable volume per hectare by species, species group and certain diameter groups+ Volume per hectare distributed by product for certain species groups+ Basal area and number of stems per hectare for certain species groups+ Average usable volume per rod and average diameter for certain species groupsThe volumes compiled in the lidar dendrometric map are variables distinct from the gross standing market volume predicted in the other forest compilation results, in the [Cubing rate and prediction models]] (https://www.donneesquebec.ca/recherche/dataset/tarif-de-cubage) and for the stems counted in the sample plots of the ecoforest inventory of southern Quebec, for example in the [Temporary sample plots of the fifth inventory] (https://www.donneesquebec.ca/recherche/dataset/placettes-echantillons-temporaires-du-cinquieme-inventaire). This distinct volume is here qualified as “usable” and it excludes woody material between 9.1 cm in diameter without bark and 9.1 cm with bark. The published literature clarifies the differences between volume variables.This product is available for territories (planning unit, private forest development agency or residual forest territory) with a lidar acquisition and affecting the bioclimatic domains of fir to yellow birch, fir to white birch and spruce moss. Product coverage is not complete and will evolve over the years depending on the lidar acquisition.__ ⚠️ Notes: __It is possible to use the [lidar dendrometric data preparation tool] (https://www.donneesquebec.ca/recherche/dataset/carte_dendrometrique_lidar/resource/d447ac59-8310-4fad-95f7-7495a3624466) to study one or more sectors at a finer scale than that of the ecoforest map. The [Lidar dendrometric tool user guide] (https://mrnf.gouv.qc.ca/nos-publications/guide-outil-dendrometrique-lidar/) presents the methodology for its application to meet the needs of operational forest harvest planning.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**