The Natural Resources Conservation Board Service Area dataset is comprised of all the polygons that represent Natural Resources Conservation Board Service Areas in Alberta. The dataset is the administrative boundary for the 4 regional offices of Natural Resources Conservation Board.

Timing windows are the period(s) during the year when work may be carried out in and about water bodies with the lowest risk to fish and wildlife species and habitat. Timing windows and terms and conditions vary based on regional differences in fish and wildlife species and habitat, and geography. The timing window of least risk to fish and fish habitat must be applied to all activities in water bodies, as well as tributaries that have a risk of depositing sediment into water bodies. Windows of least risk are designed to protect all fish species known to occur in a water body.

The wind power density layer shows the modeled wind power density [W/m2] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 W/m2 each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.

Yukon Bedrock Geology MapThis update of the Yukon bedrock geology map builds upon the previous compilation by Gordey and Makepeace (1999, 2001). It includes new, detailed bedrock geology maps and regional compilations that have been published by the Yukon Geological Survey and the Geological Survey of Canada between 1999 and 2015, as well as some recent thesis works. A few of these maps were partially integrated into the digital dataset by Gordey and Makepeace (2003), but only as overlay to the 1999 compilation. A number of errors and omissions from the 1999 compilation of Gordey and Makepeace were also noted and corrected during compilation of this version of the map.The Yukon bedrock geology GIS dataset is regularly updated and can be downloaded from the Yukon Geological Survey ' s website: [https://yukon.ca/en/science-and-natural-resources/geology](https://yukon.ca/en/science-and-natural-resources/geology) . Users are advised to consult the website regularly to ensure they are working with the latest version of the geodatabase or shape files. This update of the GIS dataset includes an expanded attribute structure (compared to the 1999 dataset) that facilitates searching of the geodatabase.This dataset requires the gscGeology font in order to properly label the bedrock polygons. This font file is packaged with the dataset when downloaded from [https://yukon.ca/maps](https://yukon.ca/maps) or [https://yukon.ca/en/science-and-natural-resources/geology](https://yukon.ca/en/science-and-natural-resources/geology) .The Yukon Geological Survey aims to provide users with the best available geoscience data for Yukon. Any revisions or additional geological information known to the user would be welcomed by the Yukon Geological Survey.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Productive forest land base is defined as the total Crown forest area, determined by subtracting the following from the total area of the Cariboo Natural Resource Region: * All non-Crown land * All Crown land committed to non-timber use through a Land Act designation * All non-forest Crown Land, and * All forest area classified as brush or non-commercial cover in the Forest Inventory. See the CCLUP Land Use Order Implementation Direction for more information: https://www2.gov.bc.ca/assets/gov/farming-natural-resources-and-industry/natural-resource-use/land-water-use/crown-land/land-use-plans-and-objectives/cariboo-region/cariboochilcotin-rlup/cclup_land_use_order_implementation_direction_companion.pdf

This dataset contains the data reported in Wesley R Ogloff, Randi A Anderson, David J Yurkowski, Cassandra D Debets, W Gary Anderson, Steven H Ferguson, Spatiotemporal variation of ringed seal blubber cortisol levels in the Canadian Arctic, Journal of Mammalogy, 2022;, gyac047, https://doi.org/10.1093/jmammal/gyac047Cite this data as:Wesley R Ogloff, Randi A Anderson, David J Yurkowski, Cassandra D Debets, W Gary Anderson, Steven H Ferguson. 2022 Spatiotemporal variation of ringed seal blubber cortisol levels in the Canadian Arctic. Arctic and Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB. https://open.canada.ca/data/en/dataset/e1c6b350-0159-11ed-8212-1860247f53e3

A research survey on the common whelk (Buccinum undatum) has been conducted biennially in three sectors of the St. Lawrence Estuary since 2005 to assess the abundance of whelk and benthic species associated with whelk habitat. Only data for benthic species associated with whelk habitat are presented in this dataset. The survey was initiated in 2005 following the intensive fishery of the early 2000s in the Upper North Shore region. The three sectors covered by the survey were based on the distribution of commercial fishing effort from 2001 to 2004.Surveys were conducted between mid-July and early August from 2005 to 2019 on the North Shore of the St. Lawrence Estuary between Portneuf-sur-Mer and Baie-Comeau according to a fixed station sampling design. Three sectors were surveyed at each survey: Forestville (69°03'11"W-48°39'24"N and 68°56'02"W-48°46'16"N), Pointe-aux-Outardes (68°35'53"W-48°59'32"N and 68°25'30"W-49°01'06"N) and Baie-Comeau (68°06'04"W-49°08'40"N and 68°05'10"W-49°12'26"N). Since 2007, the sampling plan consists of 55 stations in Forestville, 26 stations in Pointe-aux-Outardes and 11 stations in Baie-Comeau. The targeted depth interval at the three sectors was approximately 5 to 40 m. Specimens were collected using a Digby-type scallop dredge with a total width of 3.04 m consisting of four 19 mm mesh Vexar™ lined baskets to harvest small individuals. Start and end positions were recorded to calculate the distance traveled at each tow using the geosphere library in R. Since 2011, the average tow distance was approximately 300 m. The area covered at each tow was the product of the dredge width and distance.The three files provided (DarwinCore format) are complementary and are linked by the "eventID" key. The "event_information" file includes generic event information, including date and location. The "additional_information_event_and_occurrence" file includes sample size, sampling protocol and sampling effort, among others. The "taxon_occurrence" file includes the taxonomy of the species observed, identified to the species or lowest possible taxonomic level. For abundance and biomass estimates, contact Virginie Roy (virginie.roy@dfo-mpo.gc.ca).For quality controls, all taxonomic names were checked against the World Register of Marine Species (WoRMS) to match recognized standards. The WoRMS match was placed in the "scientificNameID" field of the occurrence file. Special cases were noted in "identificationRemarks" and selected specimens were confirmed using field photos. Data quality checks were performed using the R obistools and worrms libraries. All sampling locations were spatially validated.

In celebration of the tremendous diversity of tree species that tell the story of our culture and history, the NCC released in September 2020 a compilation of close to 170 remarkable trees across Canada’s Capital region entitled A Living Legacy: Remarkable Trees of Canada’s Capital. An interactive map and downloadable book are available for free on the NCC’s website and will allow the public to discover distinctive features of these trees, revealing a story of the beauty of our natural heritage through the rich diversity of species thriving within Canada’s Capital. This compilation features trees according to their commonalities, which can include their physical relationship with the land, the fact that they were a source of food for Indigenous peoples, or for their contribution to the forest industry.https://ncc-ccn.gc.ca/remarkable-treeshttps://ncc-ccn.maps.arcgis.com/apps/MapJournal/index.html?appid=a9ba98fb7e8b4c2ba9be337235b95291

Natural environments**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This study aimed to identify chemical components that could distinguish chemical mixtures in oil sands process-affected water (OSPW) from natural groundwater sources. Oil sands process-affected samples were collected from two different oil sands development tailing ponds, and natural groundwater samples were collected from both far-field (greater than one kilometer (>1km) down- or upstream from an oil sands development site), and near-field (less than 200 meters (<200m) from an oil sands development site) locations.Water samples were assessed by geochemistry, total naphthenic acid analysis, and synchronous fluorescence spectroscopy (SFS) identifying those samples with acid-extractable organics (AEO). Using electrospray ionization high resolution mass spectrometry as well as multidimensional gas chromatography time-of-flight mass spectrometry profiling allowed for differentiation of natural from OSPW sources through the measurement of O2 : O4 ion class ratios. AEO profiles from OSPW and groundwater samples adjacent to tailings ponds were similar, suggesting a common source.All data are a part subject of a publication containing method details, full QA/QC, interpretation, and conclusions: Frank, R. A., Roy, J. W., Bickerton, G., Rowland, S. J., Headley, J. V., Scarlett, A. G., West, C. E., Peru, K. M., Parrott, J. L., Conly, F. M., & Hewitt, L. M. (2014). Profiling oil sands mixtures from industrial developments and natural groundwaters for source identification. Environmental science & technology, 48(5), 2660–2670. doi.org/10.1021/es500131kResponse to comment: Frank, R. A., Roy, J. W., Bickerton, G., Rowland, S. J., Headley, J. V., Scarlett, A. G., West, C. E., Peru, K. M., Parrott, J. L., Conly, F. M., & Hewitt, L. M. (2014). Response to Comment on "Profiling oil sands mixtures from industrial developments and natural groundwaters for source identification". Environmental science & technology, 48(18), 11015–11016. doi.org/10.1021/es504008z