This dataset provides various Ministry of Natural Resources and Forestry business areas with fundamental forest inventory information needed to meet their program mandates.

The porbeagle shark (Lamna nasus), is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to porbeagle sharks from 2005 to 2021 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the Faroe Islands on commercial, recreational and scientific charters, typically in summer and fall but some over winter when the porbeagle commercial fishery was active in Canada. A variety of tag models were deployed: PAT 4 (n=1), Mk10 (N=41), and MiniPAT (N=15) and 51 of 57 tags reported. One individual shark was recaptured and the physical tag was returned. The porbeagle sharks tagged ranged in size from 76 cm to 249 cm Fork Length (curved); 42 were female, 15 were male. Time at liberty ranged from 4 – 356 days and 14 tags remained on for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

Current communities partnering in a mobile business licence program with neighboring communities. To view the the Mobile Business Licence partnerships in the BC Economic atlas, [click here](https://maps.gov.bc.ca/ess/hm/bcea/?catalogLayers=6081,6120,6082¢er=-13000000,6450000,102100&legendFirst).

**NOTE: Not for operational use. This dataset is the result of an analysis (Aug 2018) of many input layers and as such the accuracy, currency, and completeness of the dataset cannot be relied upon for operational or management decision making.** Land designations that contribute to conservation are spatially-defined areas established through legislation or purchased for the protection of nature and cultural values, the conservation of biological diversity and ecosystem services and the management of natural resources. Over 40 land designations were divided into three broad categories: - **Protected Lands** includes all Parks & Protected Areas and Other Protected Lands with the primary purpose of the long-term conservation of nature and cultural values. - **Resource Exclusion Areas** includes all designations that fully exclude one or two resource activities for the purpose of conservation. - **Spatially Managed Areas** includes all spatial designations managing or limiting development or a resource activity for the purpose of conservation, or a spatial management regime in place to preserve specified elements of biodiversity but where activity is still allowed to occur. Land designations layers were combined into a single layer, with overlaps removed such that areas with overlapping designations were assigned to the highest conservation contribution category. **Data sources:** A list of the source datasets, including links to their sources, more information, and data processing steps is available [**here**](https://raw.githubusercontent.com/bcgov/designatedlands/v0.1.0/sources.csv). Details on methods are available [**here**](https://github.com/bcgov/designatedlands). Previous versions of the data are available [**here**](https://github.com/bcgov/designatedlands/releases).

All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported. Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions. For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

The purpose of this data is to support the Large Lakes Protocol, an interagency document that addresses the processes that need to be followed during foreshore development. The required application process varies depending on habitat value zone

Likelihood of Presence of North Atlantic Right Whales in the Bay of Fundy and Port Hawkesbury Area Response Plan. The Coastal Oceanography and Ecosystem Research section (DFO Science) reviewed reported opportunistic whale sightings and local knowledge sources to estimate areas where Right whales are seasonally present and delineate these areas. A version of this dataset was created for the National Environmental Emergency Center (NEEC) following their data model and is available for download in the Resources section. Cite this data as: Lazin, G., Hamer, A.,Corrigan, S., Bower, B., and Harvey, C. Data of: Likelihood of presence of North Atlantic Right Whale in Area Response Planning pilot areas. Published: June 2018. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/d159ac68-6e46-44b5-a4e9-951880892c63

This dataset shows the boundaries of the province's six fire management zones that existed prior to 2014 in which most forest fires received the same type of response. These management zones were based on: * common forest and forest fire management objectives * land use * density of values at risk * fire load * forest ecology The 2014 Wildland Fire Management Strategy moved from a zone-based approach to one where each wildland fire is assessed and receives an appropriate response according to the circumstances and condition of the fire.

Precipitation Percentiles represents the accumulated precipitation (mm) for the time period compared to historical information for the same time period. This comparison ranks the current precipitation amount and assigns it a percentile value based on a historic record. Products are produced for the following timeframes: Agricultural Year, Growing Season and Winter Season as well as rolling products for 30, 60, 90 and 180 days