The Physical Exposure component of the National Human Settlement Layer (NHSL), defined here as the ‘Physical Exposure Model’, includes a delineation of settled areas and related land use across Canada, as well as information about buildings, persons, and building replacement values (structure and contents) within those areas.Buildings within the inventory are classified using a combination of occupancy types, engineering-based construction types adopted for Canada, and design levels representing the approximate building code requirements at the time of construction. The inventory is derived from detailed housing statistics provided at the dissemination area level as part of the 2016 national census and from georeferenced business listings. Building populations at different times of day are estimated for standard daytime hours (9am-5pm); for morning and evening commute hours (7am-9am; 5pm-7pm), and; for nighttime hours when the majority of people are home (7pm-7am). Replacement values are provided for structural, nonstructural, and contents components of buildings, based on industry replacement costs for representative regions across Canada.The physical exposure model is provided in two formats: (1) According to settled areas (i.e., polygons), which are areas that approximately delineate clusters of buildings across Canada. Summary statistics about buildings and populations within each settled area boundary are provided. (2) According to building archetypes (i.e., points) within settled areas. These are represented as point locations at the centroid of the corresponding settled area, and each settled area can have multiple point features corresponding to different building archetypes present within that area. In total, the model characterizes 35.2 million people in 9.7 million buildings across 390,000 locations with a total approximate replacement value of $8.2 trillion (2019 CAD) including contents.

The Hydrogeological Information System (HIS) contains the physical characteristics of wells and boreholes (location, depth, stratigraphy encountered, etc.) mainly from drilling reports transmitted by well drillers for groundwater sampling installations serving private drinking water residences. The geographic coverage corresponds to all of Quebec although most of the data are found in the south of the province. A monthly update is made.SIH data can be useful for hydrogeology professionals, the academic community and a wider audience in order to make interpretations on portions of territory, for example on the depth of the rock in a sector, or to consult more precise points of information such as the description of a specific identified well.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Compilation of magnetic density and susceptibility measurements carried out since summer 2018 as part of field laboratories associated with MRNF bedrock geological mapping projects.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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

The study involved sampling during a winter subsistence fishery at Brock Lake in November 2003, and a physical, chemical and biological assessment of the lake in July 2004 and July 2005. Data including physical, chemical and biological variables were published as Roux, M.-J., Harwood, L. A., Illasiak, J., Babaluk, J.A., and de Graff, N. 2011. Fishery resources and habitats in a headwater lake of the Brock River, NT, 2003-2005. Can. Manuscr. Rep. Fish. Aquat. Sci. 2932: viii + 61 p.

The study involved sampling during a winter subsistence fishery at Brock Lake in November 2003, and a physical, chemical and biological assessment of the lake in July 2004 and July 2005. Data including physical, chemical and biological variables were published as Roux, M.-J., Harwood, L. A., Illasiak, J., Babaluk, J.A., and de Graff, N. 2011. Fishery resources and habitats in a headwater lake of the Brock River, NT, 2003-2005. Can. Manuscr. Rep. Fish. Aquat. Sci. 2932: viii + 61 p.

This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. Physical Land Classification (PLC) is a mapping system that was designed to describe the landscape in terms of landform, soils, drainage and slope. It is a hierarchical system that captures physiographic information at the following levels: Region - 1:3 000 000 or smaller Section - 1:1 000 000 to 1:3 000 000 District - 1:500 000 to 1:1 000 000 Geomorphic System - 1:100 000 (can range from 1:50 000 to 1:250 000) Geomorphic Unit - 1:10 000 to 1:50 000 There are some variations in this hierarchy for individual study areas. The Land Classification Group (Resource Inventory Section), Alberta Energy and Natural Resources, adopted the initial Physical Land Classification methodology in 1977 to meet the needs of resource planning and management agencies. Many aspects of the methodology were developed from landform mapping schemes used by the System of Soil Classification for Canada (1976). The PLC system is essentially a geomorphic interpretation and classification system based on the principles of the inherent properties of the land and its forms. Physical Land Classification (PLC) maps have been created largely during the 1980s and 1990s as part of a program to acquire background information for Integrated Resource Plans along the eastern slopes and across northern Alberta. The data were generally mapped at the geomorphic unit level using the 1:50 000 scale National Topographic System maps as a base. The PLC hardcopy maps were scanned, georeferenced, rectified, cleaned, vectorized, merged and attributed to form GIS polygons. The polygons are attributed for parent geologic material, landform / surface expression, modifying process, slope, texture, soil taxonomy and soil drainage. This classification system was designed to enhance and replace the Canada Land Inventory (CLI) and Alberta Landform Inventory (ALI) Landform classification systems. There is more attribution associated with PLC mapping than with ALI / CLI Landform mapping. There is some overlap with the ALI / CLI Landform maps but much of the PLC mapping was conducted in areas not covered by ALI / CLI Landform maps. PLC mapping is considered to be more reliable than ALI / CLI Landform mapping as field checking was more extensive.

This is a spatial layer showing Ministry of Forests Radio Communication Sites. Communication Sites are physical land locations containing structures and equipment which provide two or one-way voice and or data wireless communications to field staff or for operational activities

Water composition is defined by measuring the amounts of its various constituents; these are often expressed as milligrams of substance per litre of water (mg/L). Sampling methods vary according to the types of analysis. Dataset point: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes numbers describing the results of the analysis and physical properties of groundwater. Time series: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes series of numbers describing the results of the analysis and physical properties of groundwater with associated date. Dynamic values over time at the same sites provides temporal variation data of groundwater composition.

Highway Reference Point is a visibly recognizable feature used to describe and identify a point on the Highway (i.e., a reference point abstracted on the Highway and defined by a physical landmark such as an intersection). HRP Landmarks are used in order to provide reference points relating to inventory item data