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This table provides the current expenditure forecast for each statutory authority within a department or agency, for which a financial requirement has been identified.

This dataset includes commonly used socio-economic indicators. The feature classes were created from geosptial boundary files and tabular data related to the 2016 Census of Canada, Statistics Canada. The topics included are: Age groups and sex, core housing needs, dwelling types, Education, labour force, immigration, Income, knowledge of languages, lone parent family, mobility, housing tenure and visible minorities.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

This airborne or shipborne geophysical survey recorded the following parameters: Total Field Magnetic, Radiometric. The flight line spacing is 500 m for a total of 20099 kilometres. The survey was flown between 1976-11-15 and 1977-01-13. The data were Digitally acquired.

This airborne or shipborne geophysical survey recorded the following parameters: Frequency Domain EM, Total Field Magnetic. The flight line spacing is 200 m for a total of 5425 kilometres. The survey was flown between 2008-04-11 and 2008-05-26. The data were Digitally acquired.

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. Ecological Land Classification (ELC) is an approach which endeavours to subdivide the landscape into significant ecological units and to organize complex interrelationships into identified geographical areas with similar properties. It is a hierarchical system that captures information at the following scales as per the Ecological Land Classification and Evaluation Reference Manual (1980): Ecoprovince - >1:3 000 000 Ecoregion - 1:1 000 000 - 1:3 000 000 Ecodistrict - 1:250 000 - 1:1 000 000 Ecosection - 1:100 000 - 1:250 000 Ecosite - 1:10 000 - 1:20 000 Ecoelement - 1:1 000 - 1:5 000.

This table contains 816 series, with data for years 1986 - 1996 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Index (2 items: Price index;Volume index ...), Basis (2 items: Customs basis;Balance of payments basis ...), Weighting (2 items: Paasche current weighted;Laspeyres fixed weighted ...), Import and export major commodity groups (137 items: Total; import commodity classes; all countries;Meat and meat preparations; imports;Section II imports; food; feed; beverages and tobacco;Section I imports; live animals ...).

This table contains 26 series, with data for years 2009 - 2019 (not all combinations necessarily have data for all years), and was last released on 2019-07-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Central government operations (26 items: A. Budgetary balance, deficit (-) / surplus (+), (B - C); B. Revenues; C. Expenses; Program expenses; ...).

Surface-seismic profiling is well suited for geological provinces characterized by low-to-moderate dip, but it is less effective where dips exceed 65o due to inherent limitations of the recording geometry and processing algorithms. This project evaluated the effectiveness of VSP methods for imaging massive sulphide deposits associated with folded and steeply dipping volcanic units near the Kidd Creek orebody in Ontario.

The Landmark Kilometre Inventory spatial layer is used primarily by the Ministry of Transportation and Infrastructure (MOT) to represent routes against which accident data and traffic counts are collected. This method describes roads by a four number designation referred to as a segment (i.e. 0375) This spatial layer was created based on Digital Road Atlas (DRA) centerline using linear referencing