Likelihood of Presence of Grey Seal in the Bay of Fundy and Port Hawkesbury Area Response Plan. The Coastal Oceanography and Ecosystem Research section (DFO Science) reviewed reported opportunistic sightings and local knowledge sources to estimate areas where Grey Seals are present and delineated these areas. A version of this dataset was created for the National Environmental Emergency Center (NEEC) following their data model and is available for download in the Resources section. Cite this data as: Lazin, G., Hamer, A.,Corrigan, S., Bower, B., and Harvey, C. Data of: Likelihood of presence of Grey Seal in Area Response Planning pilot areas. Published: June 2018. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/e73c90ff-0ab6-4257-8d6d-3dfc46fc0dc5

This dataset is comprised of the spatial boundaries for the Port Hawkesbury and Saint John pilot areas within the Oceans Protection Plan - Area Response Plan (ARP) project.

Canada’s NFI survey was designed to provide an unbiased probability sample of Canada’s forests for long-term strategic monitoring purposes. The target population is Canada’s entire non-Arctic land area. A National Terrestrial Monitoring Framework (NTMF) was created by establishing a systematic 4 km by 4 km sampling grid over all of Canada from a random offshore point. Prior to T0, NFI partners determined that the NFI program would be able to affordably achieve its mission by establishing a 2 km by 2 km (400 ha) “photo plot” at every fifth sampling point on the NTMF (i.e. every 20 km), thereby providing a one percent sample of the target population. This sampling intensity was considered sufficient for national reporting and possible to sustain over the long term with anticipated funding. Photo plots were established across Canada during 2000-2006 (T0). There are 26,139 photo plot survey locations on the 20 km by 20 km grid, of which 18,570 lie inside the target population area. For each photo plot, information is collected on land cover, land use, ownership and protection status. NFI photo plot survey data are stratified by “NFI Unit” for standard estimation and reporting purposes. NFI Units were created by the geographic intersection of Canada’s 10 provinces, 3 territories and 12 non-Arctic terrestrial ecozones. Estimates produced for NFI Units are rolled up to produce standard reports for ecozones, jurisdictions (provinces and territories) and Canada. Some NFI Units are too small to produce robust estimates for with the current sampling intensity, so NFI Unit estimates are not publicly reported. Prince Edward Island (PEI) Atlantic Maritime, for example, is PEI’s only NFI Unit and it is small (1% sampling intensity achieved with only 19 photo plots), so the NFI avoids publishing provincial reports. Information consumers are encouraged to use official statistics produced by provincial and territorial governments for the forests in their jurisdictions. Most provinces are large, however, and the current NFI sampling intensity is sufficient for producing robust NFI reports for those jurisdictions. Special estimation reports can be produced using different ecological or administrative strata, such as the Boreal Zone, or the Managed Forest. NFI photo plots are surveyed on a ten-year cycle. During first re-measurement (T1; 2008-2017), survey intensity was reduced to one photo plot every 40 km across northern Canada (Figure 3) because of budget limitations. The T2 survey (2018-2027) is currently underway.

This dataset provides projected 30-year, 50-year, and 100-year return levels for harbours in British Columbia by 2050 and 2100 under an intermediate emission scenario SSP245, relative to the mean sea level over 1993-2020. The return levels are a combination of estimated present extreme sea levels and projected mean sea level rise. The present extreme sea levels are derived from hourly coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM). The projected mean sea level rise is derived from the regional mean sea level rise data of the IPCC 6th Assessment Report under SSP245, adjusted for the local vertical land motion.

Examples include: * shoreline access * enhanced shoreline access (with a dock or pier) * boat launches This data was created to be used as part of the Fish ON-Line mapping application.

Bicycle network of the revised urban and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Assessment Watersheds are mesoscale aquatic units designed to replace the 3rd order 1:50K watersheds. Assessment Watersheds are based on groupings of fundamental watersheds using FWA watershed code and local code, with a target size of between 2,000ha and 10,000ha.

Tourism use points of accomodations, satellite camps, attractions, and features

The Soils Parent Materials raster prediction surface was crated using a Random Forest classifier trained with single component polygons from soils, terrain and ecosystem mapping projects, and 18 topographic predictor layers derived from the provincial 25m DEM. It is a prediction of mode of deposition of the soils parent material. The model was run by Ecoprovince and also enforced topographic constraints on some materials. The results of the Ecoprovince models were compiled into a provincial raster layer. The methodology and results are described in the research paper, Improved Soil Mapping in British Columbia, Canada with Legacy Soil Data and Random Forest Digital Soil Mapping Across Paradigms, Scales and Boundaries, 2016, ISBN : 978-981-10-0414-8 C. Bulmer, M. G. Schmidt, B. Heung, C. Scarpone, J. Zhang, D. Filatow, M. Finvers, S. Berch, S. Smith, DOI 10.1007/978-981-10-0415-5_24. This layer is used in the [Soils Information Finder Tool](https://catalogue.data.gov.bc.ca/dataset/af8c3ff1-c64c-4ee5-9412-f02a85bbbfec).

Cultural heritage of the revised land use and development plan of the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**