The land division system used for describing the extent of oil and gas interests located in the Northwest Territories, Nunavut or in Canada's offshore area is defined in the Canada Oil and Gas Land Regulations. This land division system consists of a grid system divided into Grid Areas, Sections, and Units – all referenced to the North American Datum of 1927 (NAD27). This data provides the geo-spatial representation of the NAD27 Oil and Gas Grid Areas referenced to NAD83 Datum. The creation of the Oil and Gas Grid Areas geo-spatial file covers areas that are situated in the Northwest Territories, Nunavut or Sable Island as well as submarine areas, not within a province, in the internal waters of Canada, the territorial sea of Canada or the continental shelf of Canada beyond 200 nm zone. The NAD83 grid area boundaries are defined by geodesics joining the four grid area corners. For sections and units, the eastern and western grid area geodesic boundaries are partitioned into 40 equal segments. The northern and southern grid area geodesic boundaries are partitioned into 40, 32 or 24 equal segments, depending on latitude. All internal corners at the section and unit level are defined by the intersections of north-south and east-west geodesics joining corresponding partition points along the northern and southern, and eastern and western, grid area geodesic boundaries.

Kelp features were taken from digitized survey source fieldsheets produced by the Canadian Hydrographic Service (CHS). The area covered by this dataset encompasses various surveyed areas along the western coast of North America in British Columbia coastal waters. CHS has an extensive collection of hydrographic survey data in the form of field sheets based on over 100 years of surveying in Canada. Data has been collected using a wide range of methods and systems, from lead-line to modern day multi-transducer and multibeam systems. Positions have been established using the different types of terrestrial systems and methods available over many years - up to the latest advanced satellite positioning systems. Fieldsheets that had not been previously digitizted were imported into ESRI ArcMap and georeferenced directly to WGS84 using CHS georeferencing standards and principles (charts.gc.ca). In order to minimize error, a hierarchy of control points was used, ranging from high survey order control points to comparing conspicuous stable rock features apparent in satellite imagery. The georeferencing result was further validated against satellite imagery, CHS charts and fieldsheets, the CHS-Pacific High Water Line (charts.gc.ca), and adjacent and overlapping Fieldsheets. Finally, the kelp features were digitized, and corresponding chart information (category of kelp, scale, source, title, year, and comments) was added as attributes to each feature. When digitizing kelp features the points were located at the optical center of the feature being digitized. This dataset includes a point and a polygon layer. Kelp that is located on land is historically valid. Symbolized kelp is not always an exact location but indicates that kelp is present in the area. The symbol is a proxy. The kelp attribute field does not distinguish between different types of kelp. The field has three variables that are kelp, seaweed and Aquatic Plants. Seaweed is the general name for marine plants of the Algae class which grow in long narrow ribbons. (International Maritime Dictionary, 2nd Ed.) Kelp is one of an order (laminariales) of usually large, blade-shaped or vine-like brown algae. (IHO Dictionary, S-32, 5th Edition, 2611) Aquatic Plants – Aquatic plants are used as to represent vegetation in fresh water rivers and lakes. Geographically encompasses the kelp in the Western Coastal waters of North America (mainly Canada) and Temporally overlaps/continues from data extracted from the British Admiralties.

Quebec's tourist routes and circuits each represent a path to follow along a picturesque path, focused on a distinctive theme and which connects a number of evocative tourist sites open to visitors. They are clearly marked with blue signs.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This collection is a legacy product that is no longer supported. It may not meet current Government standards. The National Topographic Data Base (NTDB) comprises digital vector data sets that cover the entire Canadian landmass. The NTDB includes features such as watercourses, urban areas, railways, roads, vegetation, and relief. The organizational unit for the NTDB is the National Topographic System (NTS), based on the North American Datum of 1983 (NAD83). Each file (data set) consists of one NTS unit at either the 1:50,000 or 1:250,000 scale. Related Products: [NTDB Correction Matrices, 2003-2009](https://ouvert.canada.ca/data/en/dataset/b6d0c19c-27e3-4392-b21f-49b1eec95653)

This dataset is a contribution to the development of a kelp distribution vector dataset. Bull kelp (Nereocystis leutkeana) and giant kelp (Macrocystis pyrifera) are important canopy-forming kelp species found in marine nearshore habitats on the West coast of Canada. Often referred to as a foundation species, beds of kelp form structural underwater forests that offer habitat for fishes and invertebrates. Despite its far-ranging importance, kelp has experienced a decline in the west coast of North America. The losses have been in response to direct harvest, increase in herbivores through the removal of predators by fisheries or diseases, increase in water turbidity from shoreline development as well as sea temperature change, ocean acidification, and increased storm activates. Understanding these impacts and the level of resilience of different kelp populations requires spatiotemporal baselines of kelp distribution. The area covered by this dataset includes the BC coast and extends to portions of the Washington and Alaska coasts. This dataset was created using 137 British Admiralty (BA) charts, including insets, with scales ranging from 1:6,080 to 1:500,000, created between 1858 and 1956. All surveys were based on triangulation, in which a sextant or theodolite was used to determine latitude and angles, while a chronometer was used to help determine longitude. First, each BA chart was scanned by the Canadian Hydrographic Service (CHS) using the CHS Colortrac large format scanner, and saved as a Tagged Image Format at 200 DPI, which was deemed sufficient resolution to properly visualize all the features of interest. Subsequently, the scanned charts were imported into ESRI ArcMap and georeferenced directly to WGS84 using CHS georeferencing standards and principles (charts.gc.ca). In order to minimize error, a hierarchy of control points was used, ranging from high survey order control points to comparing conspicuous stable rock features apparent in satellite imagery. The georeferencing result was further validated against satellite imagery, CHS charts and fieldsheets, the CHS-Pacific High Water Line (charts.gc.ca), and adjacent and overlapping BA charts. Finally, the kelp features were digitized, and corresponding chart information (scale, chart number, title, survey start year, survey end year, and comments) was added as attributes to each feature. Given the observed differences in kelp feature representation at different scales, when digitizing kelp features, polygons were used to represent the discrete observations, and as such, they represent presence of kelp and not kelp area. Polygons were created by tracing around the kelp feature, aiming to keep the outline close to the stipe and blades. The accuracy of the location of the digitized kelp features was defined using a reliability criterion, which considers the location of the digitized kelp feature (polygon) in relation to the local depth in which the feature occurs. For this, we defined a depth threshold of 40 m to represent a low likelihood of kelp habitat in areas deeper than the threshold. An accuracy assessment of the digitized kelp features concluded that 99% of the kelp features occurred in expected areas within a depth of less than 40 m, and only about 1% of the features occurred completely outside of this depth.

AIS NL Biofouling Species Fisheries and Oceans Canada's (DFO) National Marine Biofouling Monitoring Program conducts annual field surveys to monitor the introduction, establishment, spread, species richness, and relative abundance of native and some non-native species in Newfoundland and Labrador (NL) Region since 2006. Standardized monitoring protocols employed by DFO's NL, Maritimes, Gulf, and Quebec regions include biofouling collector plates deployed from May to October at georeferenced intertidal and shallow subtidal sites, including public docks, and public and private marinas and nautical clubs. Initially, (2006-2017), the collectors consisted of three 10 cm by 10 cm PVC plates deployed in a vertical array and spaced approximately 40 cm apart, with the shallowest plate suspended at least 1 m below the surface to sample subtidal and shallow intertidal species (McKenzie et al 2016a). Three replicate arrays were deployed at least 5 m apart per site. Since 2018, collector networks have been modified to improve statistical replication, including up to 10 individual collectors deployed per site at 1 m depth and at least 5 m apart (as above) from May to October. Since 2006, seven invasive biofouling organisms have been detected in Newfoundland and Labrador harbours, marinas and coastal areas. Should be cited as follows: DFO Newfoundland and Labrador Region Aquatic Invasive Species Marine Biofouling Monitoring Program. Published March 2024. Coastal and Freshwater Ecology, Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John’s, Newfoundland and Labrador. Reference: Tunicates Golden star tunicate (Botryllus schlosseri) 2006 The Golden star tunicate was the first invasive tunicate detected in NL waters. It was reported in Argentia by the US Navy around 1945. It was found in 2006 on wharf structures in Argentia, Placentia Bay during the first AIS survey (Callahan et al 2010). This colonial tunicate is recognized by it star shaped grouping of individuals within the colony. It is currently found in Placentia Bay, Fortune Bay, St. Mary’s Bay, Conception Bay and the west coast of NL. The data provided here indicates the detections of this AIS in coastal NL. From 2018-2022, the Coastal Environmental Baseline Program provided additional support to enhance sampling efforts in Placentia Bay.

La Financière Agricole's collective crop insurance for cereals and fodder maize covers the loss of quantity and quality. The assessment of losses is carried out collectively for all agricultural businesses in the same geographical area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Database of Declared Agricultural Parcels and Productions (BDPPAD) consists of polygons in vector format representing the outline of agricultural plots that have been associated with the files of clients of La Financière Agricole du Québec (FADQ) since 2003. The plots are kept from year to year to constitute a bank of plots covering as much territory as possible, whether the associated customer is active or not. For each insurance year, agricultural production is associated with the plots that active customers declare to cultivate.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Upplýsingar um eldissvæði í sjókvíaeldi sem eru í umsóknarferli hjá Matvælastofnun.