Scoter Experimental Surveys, NT, MB, QC, 2017-2019
Populations of North American breeding scoters appear to be declining, however a large degree of uncertainty remains around population size estimates and trends due to challenges related to surveying this group of sea ducks. From 2017-2019, The Canadian Wildlife Service conducted helicopter surveys for breeding scoters in six study areas across Northern Canada: Lynx Lake, NWT (2017-2019), Little Duck Lake, Manitoba (2017), Ramparts River Wetland, NWT (2017), Yellowknife, NWT (2018), North Lynx Lake, NWT (2019), and the George River, QC (2019). Within each study area, we surveyed 20-26 5x5 km plots, selected using a random stratified sampling design. The surveys were conducted in June each year (range: June 8-22) to coincide with scoter nest initiation and early incubation period. We used a double dependent observer approach (see supplemental information) and we identified all observations of primary species (scoters, scaup, mergansers, Long-tailed ducks) to species and sex when possible. We identified and recorded observations of non-focal species including all other waterfowl, all conspicuous waterbirds and shorebirds, and any observable mammalian species.
Complete metadata is available in downloadable files.
CWS-North DatasetID 085_0
Datasets available for download
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View ECCC Data Mart (English)HTML
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scoter_experimental_surveys_2017-2019_DataDicti...CSV
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scoter_experimental_surveys_2017-2019_Data_DonneesCSV
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scoter_experimental_surveys_2017_2019.gdb.zipFGDB/GDB
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scoter_experimental_surveys_2017_2019.kmzKMZ
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scoter-experimental-surveys-2017-2019-Metadata-...TXT
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scoter_experimental_surveys_2017-2019_OtherCode...CSV
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scoter_experimental_surveys_2017-2019_SpeciesCo...CSV
Additional Info
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| Last Updated | October 20, 2025, 02:38 (UTC) |
| Created | October 20, 2025, 02:38 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Scoter Experimental Surveys, NT, MB, QC, 2017-2019 |
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Description
A description of the dataset.
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Populations of North American breeding scoters appear to be declining, however a large degree of uncertainty remains around population size estimates and trends due to challenges related to surveying this group of sea ducks. From 2017-2019, The Canadian Wildlife Service conducted helicopter surveys for breeding scoters in six study areas across Northern Canada: Lynx Lake, NWT (2017-2019), Little Duck Lake, Manitoba (2017), Ramparts River Wetland, NWT (2017), Yellowknife, NWT (2018), North Lynx Lake, NWT (2019), and the George River, QC (2019). Within each study area, we surveyed 20-26 5x5 km plots, selected using a random stratified sampling design. The surveys were conducted in June each year (range: June 8-22) to coincide with scoter nest initiation and early incubation period. We used a double dependent observer approach (see supplemental information) and we identified all observations of primary species (scoters, scaup, mergansers, Long-tailed ducks) to species and sex when possible. We identified and recorded observations of non-focal species including all other waterfowl, all conspicuous waterbirds and shorebirds, and any observable mammalian species. Complete metadata is available in downloadable files. CWS-North DatasetID 085_0 |
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Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
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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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2025-01-15 |
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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
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/9cddead7-1dc8-4379-afc5-0275b7449bd5 |
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Data Service
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Owner
Owner of the dataset.
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Environment and Climate Change Canada | Environnement et Changement climatique Canada |
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Contact Point
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Contact Point Email
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Publisher
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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
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Link to dataset description
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Persistent Identifier
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Globally Unique Identifier
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Contains 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
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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
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Number of data columns
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Number of data cells
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Number of data relations
If RDF dataset, total number of triples.
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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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