The names of these rivers in the Bay of Fundy and Port Hawkesbury Area Response Plan (ARP) regions were obtained from Recovery Potential Assessments (see references), and cross referenced with the Atlas of Canada hosted online by Natural Resources Canada. These rivers were then identified and marked in ArcGIS using the Nova Scotia and New Brunswick Hydrographic Networks. Point features were used to represent the river mouths. For rivers large enough to be represented by polygon features, the point was placed where the polygon closed the inlet. For smaller rivers represented by a polyline, the point was placed where the line intersected the coastline. When multiple tributaries of a river were identified as salmon rivers, only the most seaward was marked. Cite this data as: Corrigan, S. Data of: Salmon Rivers Presence, Maritimes Region. Published: June 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/ded53eaa-bb98-4476-beea-3138372c740b

The data layer identifies areas of disturbance to vegetation including burns, commercial forestry harvesting (cuts), weather events, infrastructure and pest/disease. Instructions for downloading this dataset: This product requires the use of GIS software. *[GIS]: geographic information system

The land cover classes consist of vegetation types (such as forest, wetlands and agricultural crops or pasture) and categories of non-vegetated surface (such as water bodies, bedrock outcrops or settlements). These classes reflect the nature of the land surface rather than actual or potential land use. The 2000 Edition of the Ontario Land Cover Data Base is the Second Edition of this provincial land cover classification. The coverage is derived wholly from Landsat-7 Thematic Mapper (TM) satellite data frames recorded between 1999 and 2002, most from 2000 onward. The Provincial Land Cover (2000) Data Base is divided into 4 individual Universal Transverse Mercator (UTM) grid zone tiles (15, 16, 17, and 18) and is distributed in TIFF format. Documentation is provided with this database in the form of a user's guide and general use caveats. *[TIFF]: Tagged Image File Format *[TM]: Thematic Mapper *[UTM]: Universal Transverse Mercator

“Forillon National Park - Total Ecosystem Forest Carbon Density” is the annual carbon density (tonnes carbon per hectare) within Forillon’s forested ecosystems over a 31-year period from 1990 to 2020. Total Ecosystem Forest Carbon Density includes aboveground and belowground biomass, soil carbon, and dead organic matter. Total Ecosystem Forest Carbon Density was estimated for 31 national parks using the Generic Carbon Budget Model (GCBM), a spatially explicit carbon budget model developed by Canadian Forest Service which uses forest inventory, disturbance, and mean annual temperature data along with yield data to estimate growth and merchantable volume for dominant tree species. Species- and Ecozone-specific equations are then used to convert merchantable volume to aboveground and belowground biomass carbon. Ecozones were classified according to Canada Ecological Land Classification Level 1. The GCBM simulates carbon dynamics to produce spatially explicit estimations of carbon stocks and fluxes. The model simulates and tracks carbon stocks, transfers between Intergovernmental Panel on Climate Change-defined pools, and other metrics including net ecosystem production, net biome production, and emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in annual time steps. The stocks and fluxes are also tracked by disturbance event (e.g., forest fires, insect outbreaks). Total Ecosystem Forest Carbon Density accounts for the effects of natural and anthropogenic disturbances, including wildfires, prescribed burns, and insect outbreaks. These products have a spatial resolution of 30m. This information is part of the Parks Canada Carbon Atlas Series. To obtain a copy of this report, please contact changementclimatique-climatechange@pc.gc.ca. When using this data, please cite as follows: Sharma, T., Kurz, W.A., Fellows, M., MacDonald, A.L., Richards, J., Chisholm, C., Seutin, G., Richardson, K., Keenleyside, K. (2023). Parks Canada Carbon Atlas Series: Carbon Dynamics in the Forests of Canada’s National Parks. Scientific Report. Parks Canada Agency, Gatineau, QC, Canada, 104 p.

Specific planning areas of the revised layout and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset contains line features which define trails that are used for: * hiking * backpacking * biking * horseback riding * cross-country skiing * snowmobiling * access to campgrounds

Data from the analysis of sea surface temperature, sea surface salinity, bottom temperature, and bottom salinity, over the Gulf of Maine and Scotian Shelf, for 23 CMIP6 models. The analysis includes an evaluation of CMIP6 model performance for the CMIP6 historical (1950-2014) experiment. Future projections are summarized for CMIP6 scenarios SSP245 and SSP370 with the calculation of relative annual and seasonal changes between the historical period (1950-2014) and three future periods (2030-2039, 2040-2049, 2030-2049). Wang, Z., DeTracey, B., Maniar, A., Greenan, B., Gilbert, D. and Brickman, D., Future hydrographic state of the Scotian Shelf and Gulf of Maine from 23 CMIP6 models. Can. Tech. Rep. Hydrogr. Ocean. Sci. XXX: vii + XXXp. Cite this data as: Wang, Z., DeTracey, B., Maniar, A., Greenan, B., Gilbert, D. and Brickman, D. Future hydrographic state of the Scotian Shelf and Gulf of Maine from 23 CMIP6 Models. Published July 2022. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/6247bb5a-14b3-461d-9ed3-b42553107bbc

This data series was compiled by AAFC and Statistics Canada using a combination of agroclimate data and satellite-derived Normalized Difference Vegetation Index (NDVI) data for the current growing season. The forecast is made based on a statistical model using historical yield, climate and NDVI data.

Location of places of interest in the city of Repentigny in terms of culture and history.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**