Canadian Beaufort Sea - Marine Ecosystem Assessment (CBS-MEA) Stations 2017-2024
PURPOSE:
The Department of Fisheries and Oceans (DFO) conducted a baseline survey of biological communities and habitat parameters in the offshore Canadian Beaufort Sea between 2012 and 2014, as part of the federally administered Beaufort Regional Environmental Assessment. The BREA-Marine Fishes Project (BREA-MFP) was the first comprehensive baseline study of offshore marine fish diversity and associated habitats in the Canadian Beaufort Sea. Knowledge gained during the BREA-MFP supports regulatory processes pertaining to offshore development and Oceans Management in the Inuvialuit Settlement Region, and provides baseline context for studies of the effects of climate change and variability. The Canadian Beaufort Sea – Marine Ecosystem Assessment (CBS-MEA, 2017-2019 and 2021-2024) is building on system baselines and ecological knowledge derived from the BREA-MFP to develop a comprehensive research and monitoring approach for the offshore Canadian Beaufort Sea. This approach will enable us to better understand the relationship between oceanographic drivers and ecosystem responses. The CBS-MEA focuses on integrating oceanography, food web linkages, physical-biological couplings and spatial and inter-annual variabilities, while also expanding baseline coverage of species diversity, abundances, and habitat associations to areas of the Beaufort Sea and Canadian Archipelago that are previously unstudied in this context.
DESCRIPTION:
Between 2017 and 2019, and between 2021 and 2024, Fisheries and Oceans Canada conducted a baseline survey of marine fishes and their habitats on the Canadian Beaufort Shelf and slope in August and early September each year. Sampling was conducted from the F/V Frosti at over 150 stations along ten multi-year transects, and over 50 non-transect stations. Standardized sampling was conducted at pre-determined depth stations (20-40, 75, 200, 350, 500, 750, and 1000 m) using a variety of sampling equipment including benthic fishing trawls, plankton nets, sediment cores, and CTD and water sample profiles. Presented here is the information on the sampling locations, and the sampling gear deployed at each station.
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 02:40 (UTC) |
| Created | October 20, 2025, 02:40 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Biota, Oceans |
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Title
Title for the Dataset.
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Canadian Beaufort Sea - Marine Ecosystem Assessment (CBS-MEA) Stations 2017-2024 |
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Description
A description of the dataset.
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PURPOSE: The Department of Fisheries and Oceans (DFO) conducted a baseline survey of biological communities and habitat parameters in the offshore Canadian Beaufort Sea between 2012 and 2014, as part of the federally administered Beaufort Regional Environmental Assessment. The BREA-Marine Fishes Project (BREA-MFP) was the first comprehensive baseline study of offshore marine fish diversity and associated habitats in the Canadian Beaufort Sea. Knowledge gained during the BREA-MFP supports regulatory processes pertaining to offshore development and Oceans Management in the Inuvialuit Settlement Region, and provides baseline context for studies of the effects of climate change and variability. The Canadian Beaufort Sea – Marine Ecosystem Assessment (CBS-MEA, 2017-2019 and 2021-2024) is building on system baselines and ecological knowledge derived from the BREA-MFP to develop a comprehensive research and monitoring approach for the offshore Canadian Beaufort Sea. This approach will enable us to better understand the relationship between oceanographic drivers and ecosystem responses. The CBS-MEA focuses on integrating oceanography, food web linkages, physical-biological couplings and spatial and inter-annual variabilities, while also expanding baseline coverage of species diversity, abundances, and habitat associations to areas of the Beaufort Sea and Canadian Archipelago that are previously unstudied in this context. DESCRIPTION: Between 2017 and 2019, and between 2021 and 2024, Fisheries and Oceans Canada conducted a baseline survey of marine fishes and their habitats on the Canadian Beaufort Shelf and slope in August and early September each year. Sampling was conducted from the F/V Frosti at over 150 stations along ten multi-year transects, and over 50 non-transect stations. Standardized sampling was conducted at pre-determined depth stations (20-40, 75, 200, 350, 500, 750, and 1000 m) using a variety of sampling equipment including benthic fishing trawls, plankton nets, sediment cores, and CTD and water sample profiles. Presented here is the information on the sampling locations, and the sampling gear deployed at each station. |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2020-05-27 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Canada |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/ef88b9c6-88ba-11ea-ba6e-1860247f53e3 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Fisheries and Oceans Canada | Pêches et Océans Canada |
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Contact Point
Who to contact regarding access?
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Government of Canada; Fisheries and Oceans Canada, 204-983-5199, [email protected] |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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