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We have found 775 datasets for the keyword " science polaire". You can continue exploring the search results in the list below.
Datasets: 106,578
Contributors: 42
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775 Datasets, Page 1 of 78
Year-round utilization of sea ice-associated carbon in Arctic ecosystems
This record contains a comprehensive synthesis of previously published highly branched isoprenoid (HBI) results, providing a quantitative spatial and temporal assessment of carbon partitioning within the Arctic marine ecosystem and validating estimates of sea-ice particulate organic carbon (iPOC) values as quantitative predictors of ice algal carbon in Arctic food webs.This publication was a collaborative effort with the following contributors: David Yurkowski (Fisheries and Oceans Canada), Lisa Loseto (Fisheries and Oceans Canada), Steve Ferguson (Fisheries and Oceans Canada), Bruno Rosenberg (Fisheries and Oceans Canada), C.W. Koch (Natural History Museum, London, UK; University of Maryland Center for Environmental Science, Maryland, US); T.A. Brown (Scottish Association for Marine Science, Oban, Scotland); R. Amiraux (Centre for Earth Observation Science, University of Manitoba, Canada); C. Ruiz-Gonzalez (Scottish Association for Marine Science, Oban, Scotland); M. Maccorquodale (Scottish Association for Marine Science, Oban, Scotland); G. Yunda-Guarin (Québec-Océan and Takuvik, Biology Department, Laval University, Canada); D. Kohlbach (Norwegian Polar Institute, Fram Centre, Tromsø, Norway); N.E. Hussey (Integrative Biology, University of Windsor, Ontario, Canada).
Projects and Transformative Strategies Referred to the Major Projects Office
In August 2025 the Major Projects Office was launched, with the mandate to advance major projects in Canada and streamline federal regulatory project approval.This dataset was created to provide open access to key information about the projects and transformative strategies that have been referred to the Major Projects Office. This dataset can be layered with other data available on the Open Science and Data Platform. By accessing this data, users can conduct more comprehensive analyses to support evidence-based decision-making and inform regulatory processes including future impact assessments.Please visit the Major Projects Office for more information.
Geological map of the Arctic, 1:5 000 000
As part of the International Polar Year (IPY) 2007'08 and 2008'09 activities, and related objectives of the Commission for the Geological Map of the World (CGMW), nations of the circumpolar Arctic have co-operated to produce a new bedrock geology map and related digital map database at a scale of 1:5 000 000. The map, released in north polar stereographic projection using the World Geodetic System (WGS) 84 datum, includes complete geological and physiographic coverage of all onshore and offshore bedrock areas north of latitude 60° north.
Fieldnotes 2025-2026: Pacific Science Field Operations
The Fieldnotes dataset represents anticipated locations of science field research and monitoring to be conducted throughout the year by Fisheries and Oceans Canadas' Pacific Science team and collaborators in the Northeast Pacific and Arctic oceans, and in the coastal and interior waters of British Columbia and Yukon.
Fieldnotes 2024-2025: Pacific Science Field Operations
The Fieldnotes dataset represents anticipated locations of science field research and monitoring to be conducted throughout the year by Fisheries and Oceans Canadas' Pacific Science team and collaborators in the Northeast Pacific and Arctic oceans, and in the coastal and interior waters of British Columbia and Yukon.
Tree Species (2019)
High-resolution map of leading tree species distribution for Canada’s forested ecosystems (2019). Leading tree species map produced from a 2019 Landsat image composite, geographic and climate data, elevation derivatives, and remote sensing derived phenology following the framework described in Hermosilla et al. (2022). Regional classification models were generated based on Canada’s National Forest Inventory using a 150x150 km tiling system. The leading tree species are defined by representing the most voted tree species from the Random Forests classification models (i.e. the class with the highest class membership probability).The data represents leading tree species of Canada's forested ecosystems in 2019. An image compositing window of August 1 ± 30 days was used to generate the best-available-pixel (BAP) image composites utilized as source data for the classification.The science and methods developed to generate the information outcomes shown here, that track and characterize the history of Canada’s forests, were led by Canadian Forest Service of Natural Resources Canada, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS), partnered with the University of British Columbia, augmented by processing capacity from Digital Research Alliance of Canada.For an overview on the data, image processing, and methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2022) https://doi.org/10.1016/j.rse.2022.113276When using this data, please cite as: Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A., 2022. Mapping the presence and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of Environment 282, 113276.
MBON Pole to Pole: Sandy beach biodiversity of southwest New Brunswick, Canada
The Marine Biodiversity Observation Network Pole to Pole (MBON P2P) effort seeks to develop a framework for the collection, use and sharing of marine biodiversity data in a coordinated, standardized manner leveraging on existing infrastructure managed by the Global Ocean Observing System (GOOS; IOC-UNESCO), the GEO Biodiversity Observation Network (GEO BON), and the Ocean Biogeographic Information System (OBIS). The MBON Pole to Pole aims to become a key resource for decision-making and management of living resource across countries in the Americas for reporting requirements under the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDGs).This collection corresponds to the species registered on sandy beaches of the Musquash Harbour, Mispec Bay, and New River Beach, New Brunswick, Canada, using the MBON P2P sampling protocol for sandy beaches, with funding from the Government of Canada's Coastal Environmental Baseline Program.Citation: Reinhart B, Jonah L (2025). MBON POLE TO POLE: SANDY BEACH BIODIVERSITY OF SOUTHWEST NEW BRUNSWICK, CANADA. Version 1.7. Caribbean OBIS Node. Samplingevent dataset. https://ipt.iobis.org/mbon/resource?r=sandybeachesbayoffundynb&v=1.7
Geographic Graticules
Cartographic representation of the Geographic Latitude / Longitude graticule at 1 degree intervals, including the Arctic Circle. This dataset was imported from the National Atlas of Canada from Natural Resources Canada at 1:2,000,000.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Striped Bass Spawner Abundance Estimates in the Northwest Miramichi Estuary
PURPOSE:These data have been updated following a Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process. Associated publications are available in the citation section below or will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available.Estimate the abundance of Striped bass spawners in the Northwest Miramichi estuary.DESCRIPTION:Spawner abundance estimates of Striped Bass in the Northwest Miramichi estuary based on Catch per unit effort (CPUE) analysis in the commercial gaspereau fishery.USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.
Bedrock geology
Yukon Bedrock Geology MapThis update of the Yukon bedrock geology map builds upon the previous compilation by Gordey and Makepeace (1999, 2001). It includes new, detailed bedrock geology maps and regional compilations that have been published by the Yukon Geological Survey and the Geological Survey of Canada between 1999 and 2015, as well as some recent thesis works. A few of these maps were partially integrated into the digital dataset by Gordey and Makepeace (2003), but only as overlay to the 1999 compilation. A number of errors and omissions from the 1999 compilation of Gordey and Makepeace were also noted and corrected during compilation of this version of the map.The Yukon bedrock geology GIS dataset is regularly updated and can be downloaded from the Yukon Geological Survey ' s website: [https://yukon.ca/en/science-and-natural-resources/geology](https://yukon.ca/en/science-and-natural-resources/geology) . Users are advised to consult the website regularly to ensure they are working with the latest version of the geodatabase or shape files. This update of the GIS dataset includes an expanded attribute structure (compared to the 1999 dataset) that facilitates searching of the geodatabase.This dataset requires the gscGeology font in order to properly label the bedrock polygons. This font file is packaged with the dataset when downloaded from [https://yukon.ca/maps](https://yukon.ca/maps) or [https://yukon.ca/en/science-and-natural-resources/geology](https://yukon.ca/en/science-and-natural-resources/geology) .The Yukon Geological Survey aims to provide users with the best available geoscience data for Yukon. Any revisions or additional geological information known to the user would be welcomed by the Yukon Geological Survey.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
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