Economy
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Data is collected each year, according to the lake-by-lake cycle. Information includes: * sediment chemistry * approximately 80 index and reference stations throughout the Great Lakes basin
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All of the Mineral Tenure Data for the NWT
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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
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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, 2021 and March 31, 2022.
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The spatial extent of service territory boundaries for Ontario's local distribution companies (LDCs). ENERGY's data consumers require visualization of the service territory boundaries of local distribution companies (LDCs) to support policy development.
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The Multi-Watershed Nutrient Study collected stream water samples from 11 small agricultural watersheds between 2014 and 2020. Samples were collected during flow events like rainfall and snow melt, as well as during baseflow conditions across all four seasons. Samples were collected over the rise, peak, and fall of water during these events in the streams, to collect water chemistry information at a higher frequency than typical for stream water sampling. The dataset includes stream sensor data and flow data from stream monitoring stations, meteorological data from nearby weather stations, and water quality data collected through sampling. See Supplemental Information for station numbers and relevant information. Sample water quality parameters included total phosphorus, total filtered phosphorus, metals, total nitrogen, phosphate, dissolved nitrogen, turbidity, suspended solids, dissolved carbons, and sulphate. Data users are STRONGLY ENCOURAGED to review the associated Summary document prior to using this dataset. Six of the watersheds in the Multi-Watershed Nutrient Study were also sampled during the Pollution from Land Use Activities Reference Group (PLUARG) study conducted in the 1970s. More information on PLUARG can be found by visiting https://atrium.lib.uoguelph.ca/ and searching for PLUARG. High-Frequency water quantity data is provided courtesy of Water Survey of Canada/Government of Canada.
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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.
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The digital elevation models (DEM) are 2 m resolution raster elevation products that were generated from the Ontario Classified Point Cloud (Imagery-Derived) data. The point clouds were created via a pixel-autocorrelation process from the stereo aerial photography of the Geospatial Ontario (GEO) imagery program. The DEM does not represent a full ‘bare-earth’ elevation surface. There are areas where there are very few points classified as ground and interpolation has occurred across the resulting voids. Points classified as ground have not been assessed for accuracy to determine if they represent true ground features. Some features are still raised above ground surface, such as larger buildings, larger forest stands and other raised features. 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.
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School and Building Information. This data set contains address information on publicly funded school buildings in Ontario.
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Data on physical conditions in Ontario’s lakes and streams: * For lakes this includes measurements such as temperature, dissolved oxygen levels and water transparency, ice dates, as well as sampling location details. * For streams this includes measurements such as stream flow discharge from monitoring stations in south-central Ontario. Meteorological conditions for climate stations close to monitored lakes in south-central Ontario, includes measurements such as air temperature, humidity, precipitation and wind speed. This data set includes information on sampling locations and physical conditions in lakes and streams across Ontario, as well as meteorological and lake ice-cover conditions from monitoring stations in south-central Ontario. Data were collected since 1976, as part of routine monitoring of water quality of inland waters and for scientific and research purposes. Keywords: water quality, meteorology, hydrology, wind, dissolved oxygen, environmental monitoring
Arctic SDI catalogue