“Automatically Extracted Buildings” is a raw digital product in vector format created by NRCan. The feature classes of this product delineate polygonal building footprints automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources.The first feature class, Automatically Extracted Buildings by acquisition source, contains building footprints delivered according to the spatial extent of each source dataset used for extraction. When the spatial extents of acquisition sources overlap, footprints for the same building may therefore be duplicated in this class.The second feature class, Optimized Buildings Layer, is an assembled and harmonized layer derived from the buildings by acquisition source. Its objective is to provide a unique representation of each building footprint by removing duplicates and resolving overlaps between sources.

The resource management features of the CanVec series include power lines, communication lines, pipelines, valves, petroleum wells, wind-operated devices, transformer stations, ore extraction sites, aggregate extraction sites, peat extraction sites and oil and gas sites.The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool.Related Products (Open Maps Links):[Topographic Data of Canada - CanVec Series](https://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056)

This dataset represents the Environmental and Socio-economic Assessments (ESA) submitted to the Canada Energy Regulator (CER). The CER has made this and other ESAs available through an online search tool called BERDI (Biophysical Socio-Economic Regional Data and Information). Data extraction methodology is available on the BERDI website. Pipelines represented in this layer include a start and end point.

This thematic layer shows the location of the wells sampled for pesticides in the context of various studies carried out near certain target crop environments between 1999 and 2024. The data comes from an extraction from the BQMA and, when a report is available on the Department's website, the reader can access it from a link in the information window. Private well sampling stations are grouped by watershed in order to comply with sections 53 and 54 of the Act on access to documents held by public bodies and on the protection of personal information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This spatial dataset represents the boundaries of areas designated under the [Aggregate Resources Act, R.S.O 1990](https://www.ontario.ca/laws/statute/90a08) where a licence or permit is required for aggregate extraction. Under the Act, all aggregate operations must be licensed on private land or permitted on Crown land. Use our interactive [Pits and Quarries map](https://www.ontario.ca/page/find-pits-and-quarries) to find aggregate designated areas and authorized sites.

Zooplankton and ichthyoplankton data are archived in the Institute of Ocean Sciences (IOS) Zooplankton Database. The data available spans from 1980 to 2018 and is an extraction of vertical net hauls as biomass by major taxa collected during surveys conducted in the oceanic and coastal waters of the Northeast Pacific Ocean. The majority of vertical net hauls in this data set were collected from 10 metres above the sea floor or an approximate maximum depth of 250 metres. For further data requests, please use the contact information provided.

The administrative features of the CanVec series include geopolitical regions (international, territorial and provincial) and populated place names.A wide selection of attributes describe the data.The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool.Related Products (Open Maps Links):[Topographic Data of Canada - CanVec Series](https://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056)

This model is derived from geological, geophysical and other forms of geodata. Feature extraction used deep learning. Predictive modelling made use of the deep ensemble method. Displayed is a Pan-Canadian probability map of mineral potential of graphite. This map was generated using known graphite deposits and occurrences and their associated features. Higher probability values highlight areas with an increased probability of graphite mineral systems.

This thematic layer shows the location of pesticide stations in surface water monitored as part of various studies. The data comes from an extraction from the BQMA and, when a report is available on the Department's website, the reader can access it from a link in the information window. The dataset on the monitoring of pesticides in surface water also includes a layer of sampling stations, a layer of polygons presenting the drainage areas of some of the stations and finally, a data table including the compilation of land use by year for each of these drainage areas. The drainage areas and the land use table are linked to the sampling stations based on the BQMA station number.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The elevation features of the CanVec series include the elevation contours and elevation points. These entities are used to describe the relief of the Canadian Landmass.The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool.Related Products (Open Maps Links):[Topographic Data of Canada - CanVec Series](https://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056)