Arctic SDI catalogue
Arctic SDI catalogue (Arctic SDI)
Continents, countries, sea regions of the world.
Great Bear Lake (Sahtú) Surface water temperature monitoring: 2021 to 2024
PURPOSE: This study is part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. DESCRIPTION: Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. From 2021 to 2024, surface water temperature data was collected at depths of 0.1 to 1.0 meters using an RBR Maestro3 through partnered community-led and community/Fisheries and Oceans Canada/university partner collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is an extension of baseline data sets on water quality on the lake. These data will contribute to a better understanding cumulative impacts of climate change on the functioning of large northern lake ecosystems and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou. We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)). Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, Sahtú Renewable Resource Board, and University of Manitoba. Community of Délı̨nę partners and field workers that participated in data collection include Chris Yukon, Archie Vital, Ted Mackienzo, Daniel Baton, Lloyd Baton, Simon Neyelle, and Stanley Ferdanan. Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Sahtú Renewable Resource Board, the Polar Continental Shelf Program and Fisheries and Oceans Canada.
Land cover information is essential for a wide range of environmental applications, including climate impact assessment and adaptation, emergency response, and wildlife habitat monitoring. In Canada, a 2008 user survey identified that the most practical format for land cover data is a nationwide map with a 30 m spatial resolution, updated every five years. To meet this need, the Canada Centre for Remote Sensing (CCRS) has been producing 30 m resolution land cover maps since 2010, with updates released in 2015 and 2020. These datasets also serve as Canada’s contribution to the 30 m Land Cover Map of North America, developed collaboratively by government agencies in Mexico, the United States, and Canada through the North American Land Change Monitoring System (NALCMS). The classification system used in these maps is designed for consistency across North America. It follows a two-level hierarchy based on the Food and Agriculture Organization (FAO) Land Cover Classification System (LCCS), consisting of 12 classes at Level I and 19 classes at Level II. Of the 19 Level II classes, 15 are applicable to Canada and are included in the national land cover dataset. Tropical vegetation classes (specifically classes 3, 4, 7, and 9) are either absent or occur only minimally in Canada and are therefore excluded from the national dataset. Canada’s land cover maps are generated using observations from the Operational Land Imager (OLI) Landsat sensor. An accuracy assessment based on 832 randomly distributed samples indicates that the latest dataset achieves 86.9% overall accuracy, with no marked spatial inconsistencies. - [Land Cover of Canada - Cartographic Product Collection](https://open.canada.ca/data/en/dataset/11990a35-912e-4002-b197-d57dd88836d7) - [NALCMS — The North American Land Change Monitoring System](https://www.cec.org/publications/nalcms/)
START - Figure 3.33 - Rates of change among different terrestrial parameters
Rates of change among different terrestrial parameters, using average annual standardised data for the pan-Arctic. *identifies parameters with statistically significant trends. STATE OF THE ARCTIC TERRESTRIAL BIODIVERSITY REPORT - Chapter 3 - Page 95 - Figure 3.33
Digital Elevation Model of Canada - Canada3D, 2001
This is a legacy product that is no longer supported. It may not meet current government standards. Canada3D is a digital elevation model (DEM) produced by the Canadian Forestry Service, Ontario region. The DEM consists of an ordered array of ground elevations providing coverage of the Canadian landmass. It has been derived from the cells of the Canadian Digital Elevation Data (CDED) at the 1:250 000 scale. Canada3D is available in two levels of detail: grids regularly spaced at 30 or 300 arc seconds. Canada3D 30 and 300 are recorded separately in ASCII format. The elevation values are expressed in metres with respect to mean sea level (MSL), in accordance with the North American Datum of 1983 (NAD83).
Bedrock Geological Units, Groundwater Geoscience Program
The bedrock geologic units designate units of the same types of rock which composed the solid rock exposed at ground surface (as outcrop) or which underlies unconsolidated surficial sediments. This dataset represents a general description of the stratigraphy and geology, including geologic unit thickness, morphology, age and rank. It features a list of the geologic unit names and types of rock (lithology) in the hydrogeological unit, from a controlled vocabulary. While the preferred format to deliver this data is by using a shapefile and its linked attributes, this dataset can be delivered also by providing link to external data which should have at least the same properties or also by joining a georeferenced image of the map.
Short Rotation Woody Crop Site Suitability: Willow
This data depicts site suitability for the establishment of area-based Short Rotation Woody Crops (SRWC) of willow on lands eligible (i.e. non-forested) for afforestation across Canada. Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere and/or produce bioproducts and bioenergy. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, a fuzzy-logic modeling approach to assess site suitability for afforestation of hybrid poplar (Populus spp.) and willow (Salix spp.) in Canada was developed. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of site suitability were generated and spatially presented. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, the Canada Land Inventory capability for agriculture and elevation. Site suitability is generally defined as the fitness of a given type of land for a particular use. For this assessment, site suitability was defined as the fitness of edaphic, climatic and topographic conditions to establish and grow SRWC species at rates 8 times those of native species. Suitability index values range from 1-100, with higher values corresponding to higher suitability. Approximately 246,000 km2, or 38% of the eligible land base within Canada was found to be suitable for afforestation using Short Rotation Woody Crops (SRWC) of hybrid poplar and/or willow.
Stocking Dashboard - Manitoba Lake Information for Anglers
The stocking dashboard provides interactive access to Manitoba waterbody information. Filters can be combined to narrow down the waterbodies by: fishing division, waterbody name, fish species, and year stocked. The stocking dashboard is an interface that allows for interactively accessing fish stocking information. It allows filtering and searching for information about stocked lakes. Filters are based on the year of stocking, the fish species stocked, and the fishing division in which the stocking took place. All of these filtering abilities can be compounded to allow users to more effectively find and display information that they are interested in. The dashboard uses the stocking map as its primary tool for users which provides a visual of the filtering options applied. Widgets allow for resetting data to home state view, legend for onscreen features, layers to toggle on and off and ability to change base map options. Additionally there are statistics displayed for total fish stocked, fish stocked in past five years, and fish stocked in the years selected. The latter two statistics are dynamic and update depending on the filters used. This dashboard, along with related information, can be found in the Manitoba Lake Information for Anglers application, an interactive tool for anglers to access waterbody information. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries.
European Ground Motion Service: GNSS model 2015-2020 (vector), Europe, 2-yearly, Jul. 2022
The European Ground Motion Service (EGMS) is a component of the Copernicus Land Monitoring Service. EGMS provides consistent, regular, standardised, harmonised and reliable information regarding natural and anthropogenic ground motion phenomena over the Copernicus Participating States and across national borders, with millimetre accuracy. This layer is produced based on GNSS data from various sources, with the EUREF Densification network as the main entry point. After filtering and quality control, a total of 3770 stations are used to generate the GNSS model which contains average velocities in east, north and up directions displayed on a 50-km grid. The grid dimension is determined by the average distance between well-maintained GNSS stations over continental Europe. The GNSS model is distributed to users in a single comma-separated values file. Each cell of the model is associated to a value of vertical and horizontal velocity. The product covers the Copernicus Participating States (except for DROMs) and United Kingdom.
The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission. The Copernicus land monitoring products and services are made available on a principle of full, open and free access, as established by the Commission Delegated Regulation (EU) No 1159/2013 of 12 July 2013. Free, full and open access to the products and services of the Copernicus Land Monitoring Service is made on the conditions that: 1. When distributing or communicating Copernicus Land Monitoring Service products and services (data, software scripts, web services, user and methodological documentation and similar) to the public, users shall inform the public of the source of these products and services. 2. Where the Copernicus Land Monitoring Service products and services have been adapted or modified by the user, the user shall clearly state this. 3. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the European Union.
The GNSS model is obtained from the analysis of 3770 GNSS stations mainly part of the EUREF Densification network. The stations were selected based on the following criteria: i) minimum length of time series >3 years, ii) stations should not record time series with artificial artifacts and iii) stations should not record strong non-linear motion except for seasonality. The GNSS model is then derived following the least-squares collocation concept. The principle behind this approach is to use the correlations of GNSS station velocities to predict new values at any new point within the covered area, together with associated uncertainties.
Local Health Area (LHA) boundaries; 2022 boundary configuration. The LHAs are a mutually exclusive and exhaustive classification of the land area in BC. LHAs are contiguous (land area is geographically adjacent) and fit within an existing geographical hierarchy structure, e.g., cannot violate higher-level geography boundaries such as the Health Service Delivery Areas (HSDA) and Health Authorities (HA).
La carte des zones de rusticité des plantes montre les zones du Canada qui sont les plus propices à la survie de différents types d'arbres, d'arbustes et de fleurs, d'après les conditions climatiques moyennes de chaque région. La toute première carte des zones de rusticité de l'Amérique du Nord, publiée par le Département de l'agriculture des États-Unis en 1960, ne tenait compte que des températures hivernales minimales. En 1967, des scientifiques d'Agriculture Canada ont créé une carte des zones de rusticité du Canada d'après des données sur la survie de différentes espèces végétales. Ils ont aussi pris en compte une vaste gamme de facteurs climatiques, dont les températures hivernales minimales, la durée de la période sans gel, les précipitations estivales, les températures maximales, l'enneigement, les pluies de janvier et les vitesses maximales des vents. Des scientifiques du Service canadien des forêts de Ressources naturelles Canada ont maintenant réévalué ces zones de rusticité en utilisant les mêmes facteurs, mais en intégrant des données climatiques plus récentes (1961-1990). Ils ont employé des techniques modernes de cartographie climatologique et tenu compte des effets de l'altitude. La nouvelle carte montre que les zones de rusticité ont subi des changements qui confirment en général ce que nous savons du changement climatique. C'est dans l'Ouest canadien que les changements climatiques sont les plus prononcés. La nouvelle carte représente neuf grandes zones de rusticité, qui vont de 0 (la plus rigoureuse) à 8 (la moins rigoureuse). La légende indique aussi des divisions à l'intérieur de chaque zone (p. ex. 4a ou 4b, 5a ou 5b). Ces divisions sont bien connues des jardiniers canadiens. Certains facteurs locaux importants, comme les microreliefs, le nombre d'abris offerts et les légères variations de l'enneigement, sont trop localisés pour être représentés sur la carte. Par ailleurs, les variations climatiques observées d'une année à l'autre et les techniques de jardinage employées peuvent également avoir une grande incidence sur la survie des plantes en un lieu donné. Pour plus d'information, consulter : http://ouvert.canada.ca/data/fr/dataset/50f9f293-f288-4de6-98ad-f69cf85d21ea
Great Bear Lake (Sahtú) Surface water temperature monitoring Datastream
Great Bear Lake Sahtu Surface Water Temp Monitoring 2021-2024
2020 Land Cover of Canada / Couverture terrestre du Canada
NALCMS — The North American Land Change Monitoring System
Bedrock Geological Units, Groundwater Geoscience Program - English
Bedrock Geological Units, Groundwater Geoscience Program - French
Data Product Specifications, Bedrock Geological Units, Groundwater Geoscience Program - English
Data Product Specifications, Bedrock Geological Units, Groundwater Geoscience Program - French
original metadata (https://geoportal.gov.mb.ca)
Product Information & Technical Documentation
Original metadata (https://catalogue.data.gov.bc.ca)
Government of Canada; Fisheries and Oceans Canada
Government of Canada; Library and Archives Canada
Government of Canada; Natural Resources Canada; Canada Centre for Remote Sensing
Conservation of Arctic Flora and Fauna (CAFF)
Government of Canada; Natural Resources Canada;Strategic Policy and Innovation Sector
Government of Canada; Natural Resources Canada; Geological Survey of Canada - GSC Quebec
Government of Canada; Natural Resources Canada; Geological Survey of Canada
Government of Canada; Natural Resources Canada; Canadian Forest Service; Canadian Wood Fibre Centre
Government of Manitoba; Government of Manitoba; Manitoba Maps
Copernicus Land Monitoring Service helpdesk
Government of British Columbia; Government of British Columbia; MoH Analytics
Agriculture et Agroalimentaire Canada, gouvernement du Canada
AARD Data Request DRAA Demande de donnés (DFO/MPO)
Polygons representing areas vulnerable to heavy rains, heat waves, destructive storms, droughts, and floods. Vulnerability corresponds to the propensity or predisposition of a system (community, infrastructure and natural environment) to suffer damage caused by the manifestation of a climatic hazard. It varies according to the nature, extent and pace of the evolution of the event as well as the variation in the climate to which the system is exposed, the sensitivity of this system and its capacity to adapt. The [Climate Plan 2020-2030] (https://portail-m4s.s3.montreal.ca/pdf/Plan_climat%2020-16-16-VF4_VDM.pdf) aims, among other things, to improve urban planning and regulatory tools. Montréal has thus committed to updating the climate change vulnerability analysis, including the heat island map, produced as part of the 2015-2020 Agglomération de Montréal Climate Change Adaptation Plan and to integrating it into the next urban and mobility plan. In addition, in order to take stock of the evolution of the Climate Plan, the City of Montreal annually publishes an [accountability report] (https://montreal.ca/articles/plan-climat-montreal-objectif-carboneutralite-dici-2050-7613) of its 46 actions as well as its eight indicators, including the state of the various climate hazards illustrated by vulnerability maps. The data can also be consulted on the [interactive map of vulnerabilities to climate hazards in the Montreal agglomeration] (https://experience.arcgis.com/experience/944e0b7104bd491591ccca829da24670/page/Page/).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Anomalies de l'IDVN maximal hebdomadaire meilleure qualité
Dans la série de jeux de données « Anomalies de l'IVDN maximal hebdomadaire meilleure qualité », chaque valeur de pixel correspond à la différence (anomalie) entre l'IVDN maximal moyen « meilleure qualité » pour n-années d'une semaine donnée (par ex., semaine 18, 2000-2014) et l'IVDN maximal « meilleure qualité » de la même semaine dans une année précise (par ex., semaine 18, 2014). Les anomalies de l'IVDN maximal 0 indiquent un IVDN maximal hebdomadaire supérieur à la normale. Les anomalies proches de 0 indiquent que l'IVDN maximal hebdomadaire est similaire à la normale. Pour plus d'information, consulter : http://ouvert.canada.ca/data/fr/dataset/ea6b4be2-9826-47f3-a387-33ddf02592f4
The Oil and Gas Rights dataset contains the digital boundaries for existing exploration licences, significant discovery licences, production licences, former permits, former leases and the Norman Wells Proven Area. These boundaries are available for download on the Northern petroleum pesources Website at https://www.rcaanc-cirnac.gc.ca/eng/1100100036087/1538585604719. The Oil and Gas Rights dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) primary source for northern petroleum titles geographic location on maps.
The First Nations geographic location dataset contains the geographic location of First Nations (groups and subgroups) in Canada as points as well as basic attributes data. The location identifies where the First Nations live. Each First Nation point represents its administrative office address as it is registered in Indigenous Services Canada (ISC) Band Governance Management System (BGMS). When the First Nation administrative office is located outside its associated most populated reserve boundary, adjustments are made to relocate the point within its boundaries, otherwise within the boundaries of another associated reserve or the city where the administrative office is located. When the administrative office or the First Nation is impossible to locate, the location is based on the best available information on the First Nation (e.g. official First Nation Web site). A connection with the BGMS is in place to ensure that any update to the system is reflected in the attributes data associated with the location of each First Nation. This dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) official source for First Nation geographic location on maps.
Crown-Indigenous Relations and Northern Affairs Canada
Vulnerabilities to climate change 2022 (25 m by 25 m mesh)
Vulnerabilities to climate change 2015 (25 m by 25 m mesh)
Vulnerability to floods 2022 (simplified polygons)
Vulnerability to floods 2015 (simplified polygons)
Vulnerability to heatwaves 2022 (simplified polygons)
Vulnerability to heatwaves 2015 (simplified polygons)
Vulnerability to heavy rains 2022 (simplified polygons)
Vulnerability to heavy rains 2015 (simplified polygons)
Vulnerability to droughts 2022 (simplified polygons)
Vulnerability to droughts 2015 (simplified polygons)
Vulnerability to destructive storms 2022 (simplified polygons)
Vulnerability to destructive storms 2015 (simplified polygons)
Original metadata (https://www.donneesquebec.ca)
Vulnerabilities to climate change 2022 (25 m x 25 m mesh)
Vulnerabilities to climate change 2015 (25 m x 25 m mesh)
Data Dictionary - Web Services (in French)
Data Dictionary - Web Services (in English)
Association file between First Nations and Indian Reserves or Indian Land
Association file between First Nations and Tribal Councils
Data Dictionary - Association file between First Nations and Indian Reserves or Indian Land (in French)
Data Dictionary - Association file between First Nations and Indian Reserves or Indian Land (in English)
Data Dictionary - Association file between First Nations and Tribal Councils (in French)
Data Dictionary - Association file between First Nations and Tribal Councils (in English)
Government and Municipalities of Québec; Government and Municipalities of Québec; Ville de Montréal
Government of Canada;Indigenous Services Canada;Information Management Branch, Geomatics Services
Government of Canada;Crown-Indigenous Relations and Northern Affairs Canada;Northern Affairs, Natural Resources and Environment, Petroleum and Mineral Resources Management Directorate
Service de l'environnement et de la transition écologique