Multi-Agency Ground Plot (MAGPlot) database is a Canadian forest ground-plot data repository. Different agencies, including National Forest Inventory (NFI) and 12 Canadian jurisdictions (AB, BC, MB, NB, NL, NS, NT, ON, PE, QC, SK, and YT), contributed forest ground plot datasets in their original format into MAGPlot. The datasets delivered to us were quality controlled, standardized, and harmonized, and integrated into a single, centralized, and analysis-ready format database. The current version (MAGPlot_v1) uses the historical and most up-to-date measurements provided by the collaborators. Several datasets are excluded from this release due to pending agreements and ongoing processing, these include Manitoba, Newfoundland, Saskatchewan and Nova Scotia. The standardized and harmonized dataset were presented in eight different data tables (four sites and four trees’ measurements tables) in a relational database schema. Sites’ related tables include information pertaining to sites’ geographical locations, treatments, and disturbances while trees’ information contain information related to measured tree attributes, including trees’ biophysical parameters, tree growth, species, status, and health conditions. While all contributors provided large and small tree plot measurements, only NFI, AB, MB and SK provided regeneration plot measurements. MAGPlot’s main objective is to present the data in a findable, accessible, interoperable, and reusable format for a pan-Canadian forest research. The future versions are expected to include more tables, new attributes, updated and/or new measurements. MAGPlot_v1 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org). Ground plot sites requiring a signed data use agreement with the contributing jurisdiction have been excluded from this service, contact nfisupport@nfis.org for to arrange access to those sites. Jurisdictions/Groups excluded from this service: Alberta, Manitoba, National Forest Inventory, Nova Scotia, Northwest Territories.

WFS tjänsten för Stationsregistret. Stationsregistret är ett samlat nationellt register över anläggningar (stationer, provplatser) där man bedriver miljöövervakning.

Sea Ice Frequency charts display the percentage of days with more than 15 % ice coverage for each month over a 30 years periode.

Forests cover large areas of Canada but only some of these forests are actively managed. The Map of Forest Management in Canada provides a generalized classification of forest management in Canada, including: protected areas, Treaty/Settlement Lands (including Treaty Lands identified in Final Agreements, Land Claim Agreements and Settlements), Indian Reserves, other federal reserves (including military training areas), provincial and territorial reserves and restricted use areas, private lands, short- and long-term Crown forest tenure areas and areas with no current Crown timber dispositions. The Managed Forest Map of Canada dataset provides a wall-to-wall classification of lands in Canada. It does not differentiate areas of forest from non-forest. The Managed Forest Map of Canada differs from maps defining the area designated as “managed forest” for greenhouse gas inventory reporting purposes and does not replace those maps. Instead, the Managed Forest Map of Canada shows areas that are currently managed, as of June 2017, and provides generalized management type classification for those areas. Collaborating agencies plan to update the dataset periodically as needed, and remain open to receiving advice from experts concerning refinement priorities for future versions.

On July 6, a train of 72 cars, carrying 100 tons of crude oil each, exploded in Lac-Mégantic. The fire is now out. Several buildings in the city center were destroyed. Some forty buildings would be affected, including residences and businesses. The yellow perimeter (still active) corresponds to the controlled access zone. The red perimeter (inactive) corresponded to the area restricted to emergency responders. The green perimeter (inactive) was the reintegration zone. Purpose: To identify in the field the various perimeters related to ongoing operations.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Multi-Risk Vigilance Card is a product developed by the Ministry of Public Security (MSP) that brings together warnings and reports on phenomena of natural origin that may have consequences on the safety of citizens, goods and services to the population. It is updated continuously automatically. It allows for continuous monitoring of the province's territory in relation to dangerous natural phenomena. Environment and Climate Change Canada weather warnings for blizzard, fog, freezing rain, rain, fog, freezing rain, rain, snow, hail, hurricanes, tropical storms, winter storms, severe storms, tornadoes, tornadoes, storm winds, storm winds, strong winds, strong winds, strong winds, hurricane force winds, high winds, hurricane-force winds, heat waves, and all weather events whose severity* is greater than or equal to moderate; This data comes from the company's National Alert Aggregation and Dissemination System (ADNA) Pelmorex private. The information conveyed in the alerts complies with the standards of the Common Alert Protocol (PAC).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Species Distribution Models (SDM) were used to predict and identify priority areas for enhanced monitoring of cetaceans in eastern Canadian waters off Nova Scotia, Newfoundland and Labrador. This data set represents information presented in Gomez et al. (2020) and includes sighting records and SDM outputs for ten cetacean species with sufficient records (n > 450) and sightings only for an additional six species. For more information about sighting records including which were included in each SDM, please see Gomez et al. 2020. This study used a compilation of aerial- and vessel-based cetacean sightings data from 1975-2015 assembled in Gomez et al. (2017) from variety of sources. Note that sightings data from many of these sources are not effort-corrected and apparent distribution patterns based on these opportunistic sightings data are biased by when and where survey activities were conducted. Unfavorable weather and reduced visual effort in winter, spring, and autumn likely account for the fewer sighting records in these seasons compared to summer. The dataset does not include dead animal, stranding, entanglement or entrapment data. While some of the databases include records obtained during the whaling period (catches or sightings recorded prior to 1975), for all analyses/modelling conducted in this study, only sightings of free-swimming whales obtained during the post-whaling period (1975-2015) were used. Quality control checks included discarding all records outside of our study area and removing redundant records (identical species, day, month, latitude and longitude).The data used do not reflect any updates or corrections to the databases that have occurred since the data were compiled in 2016. Sightings are not available for download here, please contact the original data sources listed below to obtain raw sightings data. This study represents an important initiative in eastern Canada to highlight key areas for cetacean monitoring in waters off Nova Scotia, Newfoundland and Labrador. Habitats with high suitability are interpreted as areas where cetacean monitoring efforts may be prioritized, and results can help direct future survey efforts. These model outputs used cetacean sightings from several decades and dynamic environmental predictors that used seasonal averages across multiple years. As proxies for prey availability, five predictor environmental variables were selected for the SDM: ocean depth, compound topographic index, sea surface temperature, areas of persistently high chlorophyll-a concentration, and regional chlorophyll-a magnitude. See Gomez et al. (2020) for further details on modelling methods. Persistent patterns over time (between 1975-2015) are the main patterns expected to be captured by these models. Further, SDM results presented here are not the same as species density maps; rather, they portray predicted suitable habitat based on environmental characteristics and sightings data that were not always derived from effort-based surveys. Consequently, the use of these models in marine spatial planning processes should be accompanied by complimentary approaches such as acoustic and visual validation of the SDM results as well as additional monitoring and modeling efforts. Please refer to Gomez et al. (2020) for examples on how to best use these data outputs. Future efforts will focus on using more recent data and improving these models to facilitate the inclusion of cetaceans in marine spatial planning processes that are currently underway. Data sources: Fisheries and Oceans Canada Maritimes region and Newfoundland and Labrador region (Whale Sightings Database, Ocean and Ecosystem Sciences Division, Dartmouth, NS; http://www.inter.dfo-mpo.gc.ca/Maritimes/SABS/popec/sara/Database, MacDonald et. al. 2017) Ocean Biogeographic Information System (OBIS; http://www.iobis.org/), North Atlantic Right Whale Consortium (NARWC; http://www.narwc.org/) Whitehead Lab at Dalhousie University (http://whitelab.biology.dal.ca/) Environment and Climate Change Canada’s (Canadian Wildlife Service) Eastern Canada Seabirds at Sea (ECSAS) program (Gjerdrum et al. 2012). References: Gomez, C., Konrad, C.M., Vanderlaan, A., Moors-Murphy, H.B., Marotte, E., Lawson, J., Kouwenberg, A-L., Fuentes-Yaco, C., Buren, A. 2020. Identifying priority areas to enhance monitoring of cetaceans in the Northwest Atlantic Ocean. Can. Tech. Rep. Fish. Aquat. Sci. 3370: vi + 103 p. http://waves-vagues.dfo-mpo.gc.ca/Library/40869155.pdf Gomez C, Lawson J, Kouwenberg A, Moors-Murphy H, Buren A, Fuentes-Yaco C, Marotte E, Wiersma YF, Wimmer T. 2017. Predicted distribution of whales at risk: identifying priority areas to enhance cetacean monitoring in the Northwest Atlantic Ocean. Endangered Species Research 32:437-458 https://www.int-res.com/abstracts/esr/v32/p437-458/ Gjerdrum, C., D.A. Fifield, and S.I. Wilhelm. 2012. Eastern Canada Seabirds at Sea (ECSAS) standardized protocol for pelagic seabird surveys from moving and stationary platforms. 31 Canadian Wildlife Service Technical Report Series No. 515. Atlantic Region. vi + 37 p. MacDonald, D., Emery, P., Themelis, D., Smedbol, R.K., Harris, L.E., and McCurdy, Q. 2017. Marine mammal and pelagic animal sightings (Whalesightings) database: a user’s guide. Can. Tech. Rep. Fish. Aquat. Sci. 3244: v + 44 p.

This map locates the parts of the territory where the standards relating to coastal erosion, prescribed by the Government of Quebec, must apply. Coastal erosion constraint areas include protective strips where various interventions must be regulated. These areas are intended to be integrated into the MRC land use and development plan for land use planning and land use control, in accordance with the requirements of the Land Use Planning Act (A-19.1, art.5).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Fisheries and Oceans Canada ecosystem surveys are conducted annually and are a source of integrated ecosystem monitoring data. These survey data are the primary data source for monitoring trends in species distribution, abundance, and biological condition within the region, and also provide data to the Atlantic Zonal Monitoring Program (AZMP) for monitoring hydrographic conditions, along with zooplankton and phytoplankton. The surveys follow a stratified random sampling design, and include sampling using a bottom otter trawl, CTD rosette and vertical plankton tows. Data from the bottom trawl catch are used to monitor the distribution and abundance of fish and invertebrates throughout the Scotian Shelf, Bay of Fundy and Georges Bank. Cite this data as: Clark, D., Emberley, J. Data of MARITIMES RESEARCH VESSEL SURVEYS. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/8ddcaeea-b806-4958-a79f-ba9ab645f53b

“4VSW” missions focus on the eastern half of the Scotian Shelf, and occur primarily in March, but sets in both February, and April are also present in the data. These missions use a unique stratification scheme intended to optimize the abundance estimates of cod. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. Cite this data as: Clark, D., Emberley, J. Data of Maritimes 4VSW Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/a851ce30-e216-4d7d-a29c-05631eef140e