The lobster recruitment project is run by the Fishermen and Scientist Research Society (FSRS) through DFO funding. Fishermen participating in the lobster recruitment project collect information about lobster in their fishing area by fishing 2-5 scientific project traps (SPTs) (fished in fixed locations) within the regular commercial season. The SPTs used in all fishing areas are smaller than commercial traps and designed to primarily catch juvenile lobsters below the legal-size limit.These traps are additional to the vessel's legal number of commercial traps. The lobster recruitment project has more than 120 fishers participating from all LFAs along the Atlantic coast of Nova Scotia from LFA 27 in Cape Breton to LFA 35 in the Bay of Fundy (excluding LFA 28, who have not participated to-date).The number of fishermen per LFA and number of SPTs per fisherman are decided on by the LFA Advisory Committees. This decision considers how much additional effort they were comfortable having in the LFA (i.e. number of SPTs) and from how many traps each fisher could be reasonably expected to collect data. It is also important to have fishers dispersed enough to maximize study footprint. DFO Science consults on project design. SAMPLING METHODS: The fishers record the number, sex and length of lobsters captured in each SPT, as well as presence of eggs, tags or v-notch. Bottom temperatures are monitored by placing a temperature recorder in one of their SPTs for the entire lobster season.Cite this data as: Tibbets-Scott, S., Zisserson, B. Data of: Fishermen and Scientist Research Society (FSRS) Lobster Recruitment Trap Project. Published: November 2020. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/a88f9b4d-b59a-44f6-ae7e-d36550266940

This table contains information about 11 animal types associated with assigned cases in the Manitoba Animal Welfare Program.This table contains information about animal types, grouped into 11 categories, associated with assigned cases in the Manitoba Animal Welfare Program for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program. It is displayed in the Manitoba Animal Welfare Program – Animal Types chart. The table is updated on a quarterly basis. Fields included [Alias (Field Name): Field description] SpeciesStatsGrouping (SpeciesStatsGrouping): Includes one of the possible 11 animal type groups associated with each assigned case (e.g., Avian, Bison, Bovine) Year (Year): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months in a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

All stops in the public transport network managed by the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act from 2016 to present.This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act for each year, starting in 2016, to the most recent quarter. These data are populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and are displayed in the Manitoba Animal Welfare Program – Trends chart. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] Category (Category): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) # of cases reported (F__of_cases_reported): Includes the total number of cases reported for each year # of inspections conducted (F__of_inspections_conducted): Includes the total number of inspections conducted for each year # of non-compliances found* (F__of _non_compliances_found_): Includes the total number of non-compliances found following an inspection for each year * The number of non-compliances found as a result of an inspection by an Animal Protection Officer (APO) include animals deemed abandoned, issued notice of seizure, custody and distress, Director’s Order issued, surrendered ownership and recommendations for improvements.

This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used. This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. #### Methodology: • Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes • Calculate normalized burn severity ratio (NBR) for pre- and post-fire images • Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR • Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5) • Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity) • Mask out water bodies using a satellite-derived water layer • Apply region-based filters to reduce noise • Confirm burn severity analysis results through visual quality control • Produce a vector dataset and apply Euclidian distance smoothing

Main road structures such as bridges and interchangers.attributes:ID - Unique identifierSubtype - Item subtypeName - Name of the road structure**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Priority for snow removal on the road network according to three service levels (1, 2 and 3) or under provincial jurisdiction (MTQ) .attributs:ID - Unique IdentifierPriority - Service Level or Provincial Jurisdiction (MTQ)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

RAILLINE_OFFICIAL is one of the important layers for Saskatchewan Upgraded Road Network (SURN) and National Road Network (NRN). The RAILLINE_OFFICIAL provides the information of Railine to clients that require accurate, relatively up-to-date and detailed description of Saskatchewan Railline Network.RAILLINE_OFFICIAL data layer was developed by the Saskatchewan Ministry of Highways & infrastructure and contains the OFFICIAL version of the rail lines network in the province. RAILLINE_OFFICIAL layer has the linear geomtry of the CN, CP and provincial/shortline rail line in Saskatchewan. This version of the network is the one used for mapping, querying and plotting.

This service shows the percentage of population, excluding institutional residents, with knowledge of English and French for Canada by 2016 census subdivision. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Knowledge of official languages refers to whether the person can conduct a conversation in English only, French only, in both languages or in neither language. For a child who has not yet learned to speak, this includes languages that the child is learning to speak at home. For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.

An accurate depiction of road structure construction history of the Highway Network in Manitoba.Manitoba Infrastructure --> Highway Engineering--> Highway Planning and Design (HPD) manages the Highway Inventory System (HIS). This system tracks road structure and construction history of Manitoba's Road Network. Published annually, this layer aids provincial engineers in planning and managing construction projects, both present and future. The department’s linear referencing system (LRS) uses control sections as a linear referencing method (LRM). These control section are further divided into subsections. It is on these subsections that road structure and construction history are tracked in the highway inventory system database. This is the first year that HPD is making its annual HIS export available to the public. Please note that this feature layer primarily contains only the roads Manitoba Infrastructure is responsible for, i.e. Provincial Trunk Highways, Provincial Roads and Access Roads. It does not include municipal mile or grid roads. However, you may also see Earth Roads (under construction) or Other roads (such as those passing through national parks and are federal responsibility). A newer version of this data is available: Manitoba Highway Inventory 2018. Field List - FIELD NAME (Field Alias (i.e. display name)) in parenthesis) OBJECTID (OBJECTID) - Sequential, unique whole numbers are automatically generated. SHAPE (SHAPE) - A field to hold geometry information. ID (ID) - Oracle's unique identifier CS_ID (Control Section ID) - Non unique identifier linking segment to its respective control section. For example, a control section may have numerous geometry segments and each will have the same CS_ID. CS_KEY (Control Section Key) - An information rich key containing Region (two digits), Road Number (three digits), Section number (three digits), the Road Type (one character), and direction of travel (one character). SS_ID (Subsection ID) - Control Sections are further divided into Subsections. This is the subsection ID field. REGION_NO (MI Region) - The Manitoba Infrastructure region the segment is in Regions 1-5. ROAD_NO (Road Number) - The road number. Note co-routes will have the lesser highway number. SECTION_NO (Section Number) - The section number from the CS_KEY. ROAD_TYPE (Road Type) - H = Highway, E = Earth Road, and O= 'Other" road (such as through a national park because the road is not a responsibility of MI.) ROAD_DIRECTION (Road Direction) - A = ahead direction on a divided highway (i.e. following the digitizing direction), B = Back direction on a divided highway (i.e. against the digitizing direction, and U= an undivided highway. START_KM (Start Kilometre (KM)) - Start KM, is the start of the sub section within a control Section. This is part of the linear referencing method used for dynamic segmentation. END_KM (End Kilometre (KM)) - End KM is the end of the sub section within a Control Section. This is part of the linear referencing method used for dynamic segmentation. LENGTH_KM (Length (KM)) - End Kilometre minus the Start Kilometre. SECTION_DESC (Subsection Description) - A text description of where the subsection starts and ends. ROAD_TYPE_DESC (Road Type Description) - An unabbreviated version of Road Type above. ROAD_DIRECTION_DESC (Road Direction Description) - An unabbreviated version of Road Direction above. FUNCTIONAL_CLASS (Functional Class) - Functional Class: Expressway, Primary Arterial, Secondary Arterial and Collector DIVIDED_STATUS (Divided Status) - Highway is divided or undivided. LANES (Number of Lanes) - The number of lanes the road has. MEDIAN_TYPE (Median Type) - Type of median: Raised Median, Depressed Median, Flush Median, Barrier and No Median. MEDIAN_WIDTH (Median Width (m)) - The width of the median, in metres. ROW_WIDTH (Row Width (m)) - The total width of the right-of-way in metres. SUBGRADE_WIDTH (Subgrade Width (m)) - The width of the earth embankment in metres. REGRADE_YEAR (Re-grade Year) - The year the road was last regraded. REGRADE_DESCRIPTION (Re-grade Description) - Description of what re-grading was done. OUTSIDE_SHLDR_TYPE (Outside Shoulder Type) - Type of outside shoulder: AST, Curbed, Fully Paved, Gravel, No Shoulders and N/A. OUTSIDE_SHLDR_WIDTH (Outside Shoulder Width (m)) - The width of the outside shoulder in metres. OUTSIDE_PAVED_WIDTH (Outside Paved Width (m)) - The width of the paved surface of the outside shoulder in metres. INSIDE_SHLDR_TYPE (Inside Shoulder Type) - Type of inside shoulder: Curbed, Fully Paved, Gravel, No Shoulders and N/A. INSIDE_SHLDR_WIDTH (Inside Shoulder Width (m)) - The width of the inside shoulder in metres. INSIDE_PAVED_WIDTH (Inside Paved Width (m)) - The width of the paved surface of the inside shoulder in metres. SURFACE_TYPE (Surface Type) - The type of surfacing on the road: A Base, AST, Bituminous (Bpm), Bituminous B, Bituminous C, C Base, Concrete, Granular, Reclaimed Asphalt Pavement and Road Mix SURFACE_WIDTH (Surface Width (m)) - The surface width is the width of the driving lanes. SURFACE_DEPTH (Surface Depth (mm)) - Thickness of the surface layer (mm). SURFACE_YEAR (Surface Year) - The year the surface was constructed. BASE_1 (Base Layer 1) - 1st subsurface layer. 1 = present, 0 = not present BASE_1_TYPE (Base Layer 1 Type) - Material type of 1st subsurface layer of the road structure. BASE_1_DEPTH (Base Layer 1 Depth (mm)) - Thickness of 1st subsurface layer of road structure in mm. BASE_1_YEAR (Base Layer 1 Year) - Year materials placed or modified for 1st subsurface layer. BASE_2 (Base Layer 2) - 2nd subsurface layer. 2 = present, 0 = not present BASE_2_TYPE (Base Layer 2 Type) - Material type of 2nd subsurface layer of road structure. BASE_2_DEPTH (Base Layer 2 Depth (mm)) - Thickness of 2nd subsurface layer of road structure in mm. BASE_2_YEAR (Base Layer 2 Year) - Year materials placed or modified for 2nd subsurface layer. BASE_3 (Base Layer 3) - 3rd subsurface layer. 3 = present, 0 = not present BASE_3_TYPE (Base Layer 3 Type) - Material type of 3rd subsurface layer of road structure. BASE_3_DEPTH (Base Layer 3 Depth (mm)) - Thickness of 3rd subsurface layer of road structure in mm. BASE_3_YEAR (Base Layer 3 Year) - Year materials placed or modified for 3rd subsurface layer. BASE_4 (Base Layer 4) - 4th subsurface layer. 4 = present, 0 = not present BASE_4_TYPE (Base Layer 4 Type) - Material type of 4th subsurface layer of road structure. BASE_4_DEPTH (Base Layer 4 Depth (mm)) - Thickness of 4th subsurface layer of road structure in mm. BASE_4_YEAR (Base Layer 4 Year) - Year materials placed or modified for 4th subsurface layer. BASE_5 (Base Layer 5) - 5th subsurface layer. 5 = present, 0 = not present BASE_5_TYPE (Base Layer 5 Type) - Material type of 5th subsurface layer of road structure. BASE_5_DEPTH (Base Layer 5 Depth (mm)) - Thickness of 5th subsurface layer of road structure in mm. BASE_5_YEAR (Base Layer 5 Year) - Year materials placed or modified for 5th subsurface layer. BASE_6 (Base Layer 6) - 6th subsurface layer. 6 = present, 0 = not present BASE_6_TYPE (Base Layer 6 Type) - Material type of 6th subsurface layer of road structure. BASE_6_DEPTH (Base Layer 6 Depth (mm)) - Thickness of 6th subsurface layer of road structure in mm. BASE_6_YEAR (Base Layer 6 Year) - Year materials placed or modified for 6th subsurface layer. BASE_7 (Base Layer 7) - 7th subsurface layer. 7 = present, 0 = not present BASE_7_TYPE (Base Layer 7 Type) - Material type of 7th subsurface layer of road structure. BASE_7_DEPTH (Base Layer 7 Depth (mm)) - Thickness of 7th subsurface layer of road structure in mm. BASE_7_YEAR (Base Layer 7 Year) - Year materials placed or modified for 7th subsurface layer.TERRAIN_TYPE (Terrain Type) - General terrain conditions: Flat, Rolling and Rugged. CONSTRUCTION_STATUS (Construction Status) - Construction completed or carried over. UPDATED_YYYYMMDD (Updated Date) - Date the record was updated. SHAPE_Length (Length) - Segment length, automatically generated by ArcGIS.