The dataset contains data for placer watersheds locations. The dataset covers 18 watersheds within the Yukon Territory. The following watersheds form the principle boundaries of the dataset: Big Creek, Big Salmon River, Forty Mile River Indian River, Klondike River, Mayo River McQuesten River, Nisutlin River, Nordenskiold River Pelly River, Sixty Mile River, Southern Lakes (Yukon) Stewart River, White River\*, Yukon River North Yukon River South, Alsek River, Liard River \*Note - A small portion of the headwaters of the Tanana River (Yukon) watershed is associated within the boundaries of the White River watershed .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)

The Registered Fur Management Area dataset is comprised of all the polygons that represent the Registered Fur Management Areas in Alberta. A Registered Fur Management Area (RFMA) is a parcel of public land, the boundary of which is described on the Registered Fur Management Licence. If a Registered Fur Management Area is described by reference to a line, that area includes all land within 0.5 mile on each side of that line. A Registered Fur Management Licence permits the licence holder to hunt and trap fur-bearing animals on the lands described on the licence.

Feature layer depicting the centre of quarter sections, parish lots and others in Manitoba. The purpose of this layer is to provide search criteria for Manitoba legal descriptions.This feature layer is comprised of point locations that represent the centre of the bounds of the corresponding legal parcel. The types of legal descriptions include quarter sections (D.L.S.), river lots, parish lots, wood lots, outer two mile lots, and settlement lots. The point may not fall exactly on the centre of the legal parcel of land. This feature layer is meant as a search tool to locate the general location of the given legal description and it may not be exact. The points were initially derived from a variety of sources. Most of the points came from the Southern and Northern Grid of DLS section boundaries created by Sustainable Development. Fields included (Alias (Field Name): Field Description) OBJECTID (OBJECTID_1): Sequential unique whole numbers that area automatically generated Informal Legal Description (LEGAL_DESC): The informal legal description (No leading zeros on numbers). Formal Legal Description (LEGAL_DESC0): The formal legal description (Leading zeros on numbers). Type (TYPE): The type of legal division ('Quarter' = Quarter section, 'RL' = River lot, 'Lot' = Township lot, 'OT' = Outer two mile lot, 'PL' = Parish lot, 'SL' = Settlement lot, 'WL' = Wood lot). Quarter (QUARTER): Which DLS quarter section the point is referencing (NE, NW, SE or SW meaning respectfully North-east, North-west, South-east or South-west) Section (SECTION): The DLS section the point is referencing (1-36). Township (TOWNSHIP): The DLS township the point is referencing. Range (RANGE): The DLS range the point is referencing. Lot No. (LOT_NO): The lot number of the corresponding river, settlement, township, outer two mile or parish lot. Meridian (MERIDIAN): The meridian of the section (East 1, East 2 or West 1). Parish Name (PARISH_NAME): The name of the parish that the lot belongs to. Range Addition (RANGEADD): The added text for specific range values (if applicable).

Commercial and exploratory fisheries for Arctic Char, Salvelinus alpinus, provide significant economic opportunities for Nunavummiut in several Nunavut communities. Having an accurate understanding of the weight of the Arctic Char that are harvested is important for tracking harvest and for understanding how biological parameters may be changing over time as a result of exploitation and/or climactic and environmental changes. Unfortunately, most fish enter the processing plants as dressed (gills and viscera removed) and therefore conversion factors have to be applied to reconcile whole (round) weight from dressed weight. Here, we provide an updated conversion factor based on linear regression for Arctic Char from the Halokvik River (locally known as 30 Mile) near the community of Cambridge Bay. This conversion factor can be used moving forward as the Halokvik River continues to be commercially harvested.

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.

Fisheries and Oceans Canada has conducted a cumulative human impact mapping analysis for Pacific Canada to support ongoing Marine Spatial Planning. Cumulative impact mapping (CIM) combines spatial information on human activities, habitats, and a matrix of vulnerability weights into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts, a recently developed ecosystem vulnerability assessment for Pacific Canadian waters (Murray et al. 2022) was combined with spatial information on thirty-eight (38) different habitat types and forty-five (45) human activities following the methodology from Halpern et al.(2008) and Murray et al. (2015). The cumulative impact map is provided in a 1x1 km grid used for oceans management by Fisheries and Oceans Canada. For further information, please contact the data provider.

This theme, which lists more than 1,400 fishing sites in Quebec and nearly forty fish species, provides information on the consumption of sport fishing fish according to species and their size. The number of meals is determined on a monthly basis by calculating that one meal is equivalent to a portion of 230 grams before cooking (8 ounces) of freshwater fish caught in Quebec.The main factors in determining the degree of contamination of the flesh of fish caught in a given location are the species and the size: small, medium and large. The recommendations in the data layer take into account both of these factors.The rules presented in it are intended to warn against the risks associated with the consumption of fish in the long term. They are particularly relevant for people who are in the habit of consuming fish frequently. They are valid at all times, unless otherwise advised by public health officials in your area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This dataset contains miscellaneous point features including: * mine head frames * cadastral iron bar (a type of survey monument) * historical monuments * horizontal control monuments * mile posts * smoke stacks We are no longer updating this data. It is best suited for historical research and analysis.

Uniquely identifies a 75 metre wide road tenure. This layer uses the centre line from the application and is buffered 37.5 metres either side. This layer does not represent the actual road on the ground. It represents where the application area is

100 year peak flow isolines in cubic metres per second (m3/s) for 100 square kilometre watersheds and 100 year return period