This dataset is part of Environment and Climate Change Canada’s Shoreline Classification and Pre-Spill database. Shoreline classification data has been developed for use by the Environmental Emergencies Program of Environment and Climate Change Canada for environmental protection purposes. Marine and freshwater shorelines are classified according to the character (substrate and form) of the upper intertidal (foreshore) or upper swash zone (Sergy, 2008). This is the area where oil from a spill usually becomes stranded and where treatment or cleanup activities take place. The basic parameter that defines the shoreline type is the material that is present in the intertidal zone. The presence or absence of sediments is a key factor in determining whether oil is stranded on the surface of a substrate or can penetrate and/or be buried. This dataset contains thousands of linear shoreline segments ranging in length from 200 m and 2 km long. The entities represent the location of the segments and their geomorphological description. There exist further fields in the attribute table for this dataset. We are currently working on standardizing our shoreline segmentation datasets and the updated data will soon be uploaded to the catalog. Sergy, G. (2008). The Shoreline Classification Scheme for SCAT and Oil Spill Response in Canada. Proceedings of the 31stArctic and Marine Oil Spill Program Technical Seminar.Environment Canada, Ottawa, ON, Pp. 811-819.

Harvest marine mammal Focal Ecosystem Component stocks in Arctic Marine Areas. Harvested without quotas, with quotas or not harvested. STATE OF THE ARCTIC MARINE BIODIVERSITY REPORT - <a href="https://arcticbiodiversity.is/findings/marine-mammals" target="_blank">Chapter 3</a> - Page 158 - Figure 3.6.4

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

The Eastern Shore Islands was announced as an "Area of Interest" (AOI) in 2018 by the DFO Maritimes region to potentially be considered for a Marine Protected Area under the federal Oceans Act. As part of its mandate for monitoring established and potential conservation areas, DFO Science regularly deploys instruments including conductivity/temperature/depth (CTD) loggers, and other instruments for measuring dissolved oxygen, nutrients, and other chemical ocean properties. This data collection includes temperature and other oceanographic records for the ESI AOI from June 2024 onward. The data are derived from temperature loggers (Hobo Tidbit loggers or similar) and Sea-Bird MicroCATs, but may in future years include current profiles or additional oceanographic data. These data will be used to monitor temperatures in this coastal region to detect any biological shifts associated with temperature and climate fluctuations, and be used to groundtruth oceanographic models. Cite this data as: Jeffery, N., Stanley, R., Pettitt- Wade, H. (2025): Data of: Baseline oceanographic records for the Eastern Shore Islands Area of Interest. Published: September 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/f0020cec-5671-4908-8fdd-11fc097de99d

In 2012 and 2013, Fisheries and Oceans Canada surveyed the benthos in two areas closed to bottom contact fishing, the Narwhal Overwintering and Coldwater Coral Zone (now the Disko Fan Conservation Area, DFCA), and the Hatton Basin Voluntary Coral Protection Zone (now the Hatton Basin Conservation Area, HBCA). Samples were collected following protocols recommended by the Arctic Council’s Circumpolar Biodiversity Monitoring Plan for the purposes of providing baseline data for future monitoring of benthic invertebrates in this sensitive region, and for facilitating pan-Arctic comparisons of benthic communities. Five biodiversity monitoring stations were established, four in the DFCA and one in the HBCA, each of which was fully sampled according to those protocols with Van Veen grabs or box corers, drop cameras and temperature recorders attached to the gear. This report summarises the grab/core-sampled benthic fauna collected during the 2012 survey of the Conservation Areas and complements another report documenting the epibenthos from the camera transects in the DFCA. Here we report on macrofauna in the 1-cm size fraction, and on foraminiferan meiofauna. The data provided is presented in the following report (see related link) : Jacobs, K., Bouchard Marmen, M., Rincón, B., MacDonald, B., Lirette, C., Gibb, O., Treble, M., and Kenchington, E. 2022. Biodiversity Monitoring Stations for Benthic Macrofauna and Meiofauna in the Disko Fan and Hatton Basin Conservation Areas. Can. Tech. Rep. Fish. Aquat. Sci. 3487: vi + 86 p. Cite this data as: Bouchard Marmen, Marieve; Rincon, Beatriz ; MacDonald, Barry; Lirette, Camille; Gibb, Olivia; Treble, Margaret ; Jacobs, Kevin; Kenchington, Ellen (2022). Biodiversity Monitoring Stations for Benthic Macrofauna and Meiofauna in the Disko Fan and Hatton Basin Conservation Areas. Published January 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7bcff18-698b-4d40-a7bd-13d39925cbeb

This layer details Important Areas (IAs) relevant to important geographic features in the Strait of Georgia (SOG) ecoregion. This data was mapped to inform the selection of marine Ecologically and Biologically Significant Areas (EBSA). Experts have indicated that these areas are relevant based upon their high ranking in one or more of three criteria (Uniqueness, Aggregation, and Fitness Consequences). The distribution of IAs within ecoregions is used in the designation of EBSAs. Canada’s Oceans Act provides the legislative framework for an integrated ecosystem approach to management in Canadian oceans, particularly in areas considered ecologically or biologically significant. DFO has developed general guidance for the identification of ecologically or biologically significant areas. The criteria for defining such areas include uniqueness, aggregation, fitness consequences, resilience, and naturalness. This science advisory process identifies proposed EBSAs in Canadian Pacific marine waters, specifically in the Strait of Georgia (SOG), along the west coast of Vancouver Island (WCVI, southern shelf ecoregion), and in the Pacific North Coast Integrated Management Area (PNCIMA, northern shelf ecoregion). Initial assessment of IAs in PNCIMA was carried out in September 2004 to March 2005 with spatial data collection coordinated by Cathryn Clarke. Subsequent efforts in WCVI and SOG were conducted in 2009, and may have used different scientific advisors, temporal extents, data, and assessment methods. WCVI and SOG IA assessment in some cases revisits data collected for PNCIMA, but should be treated as a separate effort. Other datasets in this series detail IAs for birds, cetaceans, coral and sponges, fish, invertebrates, and other vertebrates. Though data collection is considered complete, the emergence of significant new data may merit revisiting of IAs on a case by case basis.

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.

Description: The Regional Freshwater Index Layers dataset is composed of five single-band raster layers in GeoTIFF format. Each layer corresponds to a marine region, which generally coincide with the following layers from the Species Distribution Modelling Boundaries dataset: Nearshore_HG, Nearshore_NCC, Nearshore_QCS, Nearshore_WCVI, and Shelf_SalishSea. The main purpose of the dataset is to supplement existing layers that are used for species distribution modelling in the Pacific nearshore marine environment. Each regional freshwater index layer has the same spatial resolution and extent as other predictor layers for the corresponding region. While salinity layers exist from oceanographic models, they may not capture local difference from smaller scale rivers and streams entering the marine environment. Therefore, these layers are meant to complement salinity layers and are not suitable as a replacement for salinity data in species modelling. Methods: The cell values represent an estimate of freshwater influence on a 0-1 scale, where a higher value represents a greater level of freshwater influence. Details on how these values are determined is described in the supplemental information section of the metadata. The main data source for these derived products is the B.C. Freshwater Atlas, including the stream network and river polygons layers. Uncertainties: The values in the rasters are not a measure of salinity. The units are an index representing the level of freshwater influence weighted by the stream order and rescaled across regions on a 0-1 scale where only the region with the greatest value has a range of values 0-1 and the other regions are scaled relatively. This is done to ensure that values in one region can be compared to values in another region. As a result, some regions have very small values because the Salish Sea with the Fraser River is dominant, even after applying a rescale factor to the data.

This product displays for Benzo(a)pyrene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for all available years.

This product displays for Nickel, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.