This dataset contains the outputs for Bute Inlet from two simulations shown in the publication "Fjord circulation permits persistent subsurface water mass in a long, deep mid-latitude inlet" by Laura Bianucci et al., DFO Ocean Sciences Division, Pacific Region (published in the journal Ocean Science in 2024). The Finite Volume Community Ocean Model (FVCOM v4.1) was run with two different sets of initial conditions for the Discovery Islands region of British Columbia, Canada, from May 24 to June 27, 2019. The "Baseline" simulation used observed initial conditions, while the "Sensitivity" simulation removed the observed cold subsurface water mass from the initial profiles. Here in this dataset, we provide 29-day averages of the following variables in a transect along Bute Inlet: potential temperature, density, along-inlet velocity, and Brunt-Väisälä frequency (N^2). The averaging properly removes the tidal effects.

Full rupture of the Leech River Fault, a fault that cuts southern Vancouver Island and extends beneath Greater Victoria. Based on current science, this magnitude 7.3 earthquake scenario represents the strongest ground shaking event that could strike the region, and is one of Greater Victoria’s most severe events.

This dataset defines the ecological areas of Alberta known as the Natural Regions and Natural Subregions, as defined in 2004/2005. This dataset is intended to allow for the stratification of the province of Alberta based on ecological criteria. Natural Regions are the largest mapped ecological units in Alberta's classification system. They are defined geographically on the basis of landscape patterns, notably vegetation, soils and physiographic features. Natural Subregions are subdivisions of a Natural Region, generally characterized by vegetation, climate, elevation, and latitudinal or physiographic differences within a given Region.The intended scale of use of this product is 1:250 000. This version is 2005 Final. Linework changes from the previous Natural Subregion delineation are due both to better information and refined subregion definitions. Note that the Athabasca Plain subregion has been moved into the Boreal Natural Region and that the Boreal Highlands has now been split into Lower and Upper. There is an accompanying report, published 2006: https://albertaparks.ca/media/2942026/nrsrcomplete_may_06.pdf

This is a magnitude 5.0 earthquake scenario under Lake Ontario, very close to Toronto. This fault is not known to be active but demonstrates a plausible earthquake scenario for Toronto region.

The spatial representation for an Inventory Region or Compartment. Established by the Resource Inventory Branch, Inventory Regions are large drainages encompassing groups of small drainages also known as compartments. These were once used for planning purposes, similar to the current Planning Cells. They are now maintained in the files as reference for many administration boundaries

The spatial representation for a Natural Resource (NR) Region, that is an administrative area established by the Ministry, within NR Areas. These boundaries are designated by the Lieutenant Governor in council and published as regulations which establishes the Ministry's management areas. This dataset supersedes WHSE_ADMIN_BOUNDARIES.FADM_REGION

This polygon layer displays sub-basin-level average precipitation derived from the ECMWF (European Centre for Medium-Range Weather Forecasts) model. This layer helps hydrologists, forecasters, and planners see how much rainfall/snowfall is predicted or has occurred in each sub-basin, supporting medium-range water resource and flood management. We are intersested in the forecast period of 7 days.This layer aggregates ECMWF forecast precipitation over polygonal sub-basins. Each feature includes attributes for average accumulated precipitation, forecast run/valid times, and sub-basin identifiers. ECMWF is a leading global model offering medium-range (up to 10 days) forecasts at a high skill level. By focusing on sub-basins, this layer aids in local-scale decision-making—enabling more precise flood risk assessments, reservoir inflow estimates, and water resource planning across the region of interest.

The Grazing Rental Zones is comprised of two polygons which determine which zone a grazing disposition (GRL, FGL, GRP) is in. These zones are used to apply the rental rate that grazing leases (GRL), grazing licenses (FGL) and grazing permits (GRP) pay to the government of Alberta for use of public lands. The Public Lands Modernization (Grazing Lease and Obsolete Provisions) Amendment Act came into force January 1, 2020. Under the new rental rate framework (Ministerial Order 01/2020), there are now two grazing rental rate zones based on the transition of the boreal region of the province. The North Saskatchewan River is the dividing line between the south (Zone 1) and north (Zone 2).

This project was completed by the Shellfish Section in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO), in collaboration with industry partners. The Coastal Environmental Baseline program supported the Placentia Bay portion of project work for an ongoing industry-DFO collaborative post-season trap survey for Snow Crab that was initiated in 2003 and has occurred each year. This survey is conducted by Snow Crab harvesters accompanied by at-sea observers and takes place in NAFO Divisions 2J3KLNOP4R. Historically the survey focused on commercial fishing grounds but began transitioning to a partly random stratified design in 2017. Since 2018, approximately 50% of survey stations are randomly allocated while 50% remain fixed. At each station, six (for inshore stations) or ten (for offshore stations) commercial traps are set in a fleet. To gather data on non-commercial sized Snow Crab, including females, many fleets also include one small-mesh trap. The coverage of small-mesh traps has been expanding in recent years with the aim of one small-mesh trap for every station in the coming years. Biological sampling is undertaken on at least one commercial trap and the small-mesh trap at each station. The data from this survey is incorporated into the annual stock assessment for Snow Crab in the Newfoundland and Labrador region. This record contains trap locations for Placentia Bay, and information on the types of data collected. More detailed information can be found in Pantin et al. (2022).https://publications.gc.ca/collections/collection_2023/mpo-dfo/fs70-5/Fs70-5-2022-076-eng.pdf

The data in this layer represents habitat suitability of soft-shelled clams (Mya arenaria) in the DFO Maritimes region, and was developed using an interdepartmental approach. Substrate classification data as well as bathymetric data for the Region were used to identify potential habitat for soft-shelled clams. Substrates identified as suitable included: sand, mud, sand and mud (Greenlaw, 2022). Contours (0m and 70m) from GEBCO bathymetric data were used to isolate depths between which soft-shelled clams are present. At this stage, a polygon reflecting soft substrates from 0-70m was created as "Suitable". A "Not Suitable" layer was similarly created using the substrates: boulders, continuous bedrock, discontinuous bedrock, gravel, mixed sediment, sand and gravel.To digitally validate the model, the Regional shoreline was divided into subsectors (developed by Environment and Climate Change Canada for the Canadian Shellfish Sanitation Program). Data from DFO (clam harvesting intensity) as well as Conservation and Protection (clam harvesting infraction locations) were used to established species presence within each sub-sector. If there had been any harvesting activity, legal or illegal, in an individual subsector, it was considered "Suitable and Validated". Merged into one final product, the model includes areas that are "Not Suitable", "Suitable", as well as "Suitable and Validated" for soft-shelled clam habitat.Cite this data as: Harvey, C., Vincent, M., Greyson, P., Hamer, A. (2024) Data of: A Soft-Shelled Clam (Mya arenaria) Habitat Suitability Model For The DFO Maritimes Region.Published: January 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/c76f7813-d802-4b31-8ebe-476f8a7cacf2