Description:Seasonal climatologies (temperature, salinity, and sigma-t) of the Northeast Pacific Ocean were computed from historical observations including all available conductivity-temperature-depth (CTD), bottle, expendable bathy-thermograph (XBT), and Argo data in NOAA (http://www.argo.ucsd.edu/), Marine Environmental Data Service (MEDS), and Institute of Ocean Sciences archives over 1980 to 2010 period in spatial resolution ranging from approximately 100m to 70km.Methods:Calculations, including smooth and interpolation, were carried out in sixty-five subregions and up to fifty-two vertical levels from surface to 5000m. Seasonal averages were computed as the median of yearly seasonal values. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March.Uncertainties:Uncertainties are introduced when quality controlled observational data are spatially interpolated to varying distances from the observation point. Climatological averages are calculated from these interpolated values.

This GIS dataset depicts the surficial geology of the Little Smoky area (NTS 83K/NW) (GIS data, line features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the line features of Alberta Geological Survey Map 564, Surficial Geology of the Little Smoky Area (NTS 83K/NW).

Sub-regional plans support working landscapes that provide economic opportunities and maintain healthy landscapes by outlining management approaches and requirements for development and human footprint restoration. These plans enable public lands to support the interests of all Albertans, including Indigenous peoples, for the present and into the future. The Upper Smoky Sub-Regional Plan Spatial Data collection contains spatial data that can be used for planning as described within the Upper Smoky Sub-regional Plan (2025) and has been developed by Lands Planning, Alberta Environment and Protected Areas, Government of Alberta. The following datasets are available: Subregional Plan Boundaries, Management Zones, Conservation Areas, Watercourse Management Areas, Riparian Areas along the Wapiti and Smoky Rivers, Public Land Use Zone, and Harvest Timing Sequences E10 and G16.

This GIS dataset depicts the surficial geology of the Little Smoky area (NTS 83K/NW) (GIS data, polygon features). The data were created in geodatabase format and output for public distribution in shapefile format. These data comprise the polygon features of Alberta Geological Survey Map 564, Surficial Geology of the Little Smoky Area (NTS 83K/NW).

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product.Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.

The Coastal Ice Ocean Prediction System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS.

The Eastern Slopes Land Use Zoning dataset is comprised of all the polygons that represent Eastern Slopes Land Use Zones in Alberta. The dataset was created as a basis to provide analysis for nominating Special Places sites for later designation, under the Special Places 2000 Project. Don Getty Wildland Provincial Park (which comprised mainly of Zone 1 - Prime Protection & Zone 2 - Critical Wildlife) is one of the examples. Except designated natural areas. zoning and any associated policy direction for managing resources and surface access on the general Crown lands within these land use zones do not apply to lands that have been designated as a park or protected area under the Provincial Parks Act, the Willmore Wilderness Park Act or the Wilderness Areas, Ecological Reserves, Natural Areas and Heritage Rangelands Act. This dataset was compiled from many Integrated Resource Plans (IRP) studies as well as the Eastern Slopes Policy which were used in the former Special Places 2000 Project planning process.

This dataset provides 1/36-degree monthly mean ocean current climatology (October - March) in the Northeast Pacific. The climatological fields are derived from hourly ocean currents for the perid from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).

Seamounts have been identified as Ecologically or Biologically Significant Areas (EBSAs) due to their unique oceanography and ecology; they frequently serve as sites for fisheries and as habitat for a number of species of conservation concern. A mix of isolated seamounts and seamount complexes are distributed throughout Canada’s Pacific offshore waters, although only a subset of these are named. We used several pre-existing spatial databases and predictive models to map all named seamounts within Canada’s Exclusive Economic Zone (EEZ), all named seamounts fished by Canada in international waters, and any predicted (modelled) unnamed seamounts in the EEZ. These data are intended to inform marine planning initiatives in BC by providing collaborative, peer-reviewed scientific data at scales relevant to a BC coast-wide analysis.

Facilities designed to recover natural gas liquids from a stream of natural gas. These facilities control the quality of the natural gas to be marketed.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)