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We have found 922 datasets for the keyword " canadien pacifique". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
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922 Datasets, Page 1 of 93
Pacific Marine Habitat Classes
This data set is a generalized characterization of the offshore and inshore environments of Canada’s Pacific Ocean. Compiled from various sources to depict the biogenic habitats, pelagic habitats, and general bottom types such as offshore and inshore by depth strata.
Northeast Pacific Monthly Mean Ocean Current Climatology (October - March)
This dataset provides 1/36-degree monthly mean ocean current climatology (October - March) in the Northeast Pacific. The climatological fields are derived from hourly ocean currents for the perid from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).
Deep substrate model (100m) of the Pacific Canadian shelf
This deep water substrate bottom type model was created to aid in habitat modeling, and to complement the nearshore bottom patches. It was created from a combination of bathymetrically-derived layers in addition to bottom type observations. Using random forest classification, the relationship between observed substrates and bathymetric derivatives was estimated across the entire area of interest. The raster is categorized into: 1) Rock, 2) Mixed, 3) Sand, 4) Mud
Northeast Pacific Monthly-Mean Ocean Current Climatology (April - September)
This dataset provides 1/36-degree monthly-mean ocean current climatology (April - September) in the Northeast Pacific. The climatological fields are derived from hourly ocean currents for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).
Institute of Ocean Sciences Moored Instrument Data (Pacific and Arctic), 1965-present
Moored instrument time series data include current velocity, temperature, salinity, oxygen, fluorescence, transmissivity, turbidity, and particle capture of carbon, nitrogen, and silicon as well as sediment trap, ice drift and ice draft data.These data were collected by researchers from the Institute of Ocean Sciences, Sidney, BC, from locations ranging from the North Pacific, the Beaufort Sea, and across the Canadian Arctic Archipelago to Baffin Bay.
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.
Time zones in Canada
There are six official time zones in Canada: Pacific, Mountain, Central, Eastern, Newfoundland, and Atlantic. All time zone boundaries in Canada are regulated by the provinces and territories. This record contains maps and data for both legislated Standard Time and Daylight Saving Time boundaries. Daylight Saving Time occurs every year; it starts on the second Sunday in March and ends on the first Sunday in November. However, the Yukon, Saskatchewan and parts of British Columbia, Quebec and Nunavut do not observe Daylight Saving Time.The changes to Pacific time announced on March 2, 2026, by the Government of British Columbia are not reflected in this dataset. Please consult the [Government of British Columbia's announcement](https://news.gov.bc.ca/releases/2026AG0013-000209#:~:text=B.C.%27s%20new%20time%20zone,%20Pacific%20time,%20will,and%20other%20regions%20observing%20mountain%20standard%20time) for more information.The maps and data were produced by the Canada Centre for Mapping and Earth Observation (CCMEO) at Natural Resources Canada. The time zone boundary lines were created from information provided by the National Research Council who are responsible for official time in Canada.
Fieldnotes 2026-2027: Science Field Operations
The Fieldnotes dataset provides information about science field work to be conducted each year by Fisheries and Oceans Canada (DFO) and collaborators. Field work takes place in the Pacific, Arctic and Atlantic Oceans, as well as the freshwater bodies of participating DFO Regions: Pacific, Arctic, Ontario and Prairie, Maritimes, and Gulf.
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.
Seasonal Temperature Climatology of the British Columbia Exclusive Economic Zone (2001-2020)
Description:Seasonal climatologies for temperature of the Northeast Pacific Ocean were computed to cover the period 2001 to 2020. Historical observations included all available conductivity-temperature-depth (CTD), bottle and profiling floats in the NODC World Ocean Database, Marine Environmental Data Services (MEDS), Institute of Ocean Sciences Water Properties website and the Canadian Integrated Ocean Observing System (CIOOS Pacific).Methods:Interpolation was carried out in up to fifty-two vertical levels from surface to 5000m. Data-Interpolating Variational Analysis (DIVA) was used for spatial interpolation for all years within each season and estimates projected onto a consistent grid. The average of the grid nodes was calculated to obtain the seasonal climatology. DIVA was used again on the final climatology followed by a median filter and a 5-point smoother. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal temperature climatologies for the Canadian Pacific Exclusive Economic Zone (EEZ), a subset of seasonal climatologies of the Northeast Pacific Ocean, in high spatial resolution of 1/300 degree.Data Sources:NODC, MEDS, IOS and CIOOS Pacific Data.Uncertainties:Uncertainties are introduced when quality controlled observational data are spatially interpolated to varying distances from the observation point. Climatological averages are calculated from these interpolated values.
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