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We have found 15 datasets for the keyword " glaciolacustrine". You can continue exploring the search results in the list below.
Datasets: 106,156
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15 Datasets, Page 1 of 2
MetNotes
MetNotes are a geo- and time-referenced, free form polygon product issued by MSC that complement today's location-based dissemination systems. The concise text of a MetNote (similar to a Tweet) is consistent with communication today where people are seeking information at a glance. Meteorologists will issue a MetNote to add contextual and/or impact information to complement the public forecast that is valid over a specific area, for a specific time range.
Registered Flu and COVID Providers 1
Registered vaccine distribution locations for the Flu and COVID-19 season that will appear on the Vaccine Provider App.
Street snow removal priorities
Priority for snow removal on the road network according to three service levels (1, 2 and 3) or under provincial jurisdiction (MTQ) .attributs:ID - Unique IdentifierPriority - Service Level or Provincial Jurisdiction (MTQ)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Ungulate Winter Range - Approved
The dataset contains approved legal boundaries for ungulate winter range and specified areas for ungulate species.
The prevalence of underlying health conditions that increase the risk of severe health outcomes related to COVID-19
As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus.To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.
Manitoba COVID-19 Rapid Antigen Test Kit Distributors
Feature point layer showing COVID-19 rapid antigen test kit distribution sites in Manitoba.Feature point layer showing locations of distribution sites that currently have COVID-19 rapid antigen test kits available in Manitoba. The main purpose of this data is to provide the public with the hours of operation for these sites. Distributors include pharmacies, retail stores, and community libraries. This data is populated by Manitoba Shared Health and is updated as needed. This feature layer is used in the Manitoba COVID-19 Rapid Antigen Test Kit Availability Map and Manitoba COVID-19 Rapid Antigen Test Kit Availability application. For more information on Manitoba’s response to COVID-19, please visit the following site: https://www.gov.mb.ca/covid19/index.html Fields included [Alias (Field Name): Field description] Site Category (Site_Category): Indicates whether the site is a retail business, pharmacy, or community library Site Name (Site_Name): Official business name of the site Address (Address): Street address of the site City or Town (City_or_Town): City or town in which the site is located Postal Code (Postal_Code): Postal code that corresponds with the street address of the site Phone (Phone): Telephone number for the site French Service (French_Service): Indicates whether a site self-identified as having services available in French; if unknown, value is null Health Authority (Health_Authority): Name of the regional health authority where the site is located Hours of Operation (Hours_of_Operation): Listing of days and times that the site is open to the public Alt Hours Start (Alt_Hours_Start): Start date of when alternate hours are in effect Alt Hours End (Alt_Hours_End): End date of when alternate hours are in effect Alternate Hours of Operation (Alternate_Hours_of_Operation): Listing of alternate days and times that the site is open to the public Latitude (Latitude): Latitudinal coordinate of the site Longitude (Longitude): Longitudinal coordinate of the site
Atlas of Canada National Scale Data – Annual Minimum Snow and Ice (MSI) Extent Time Series
The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present. The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year. The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application.VECTOR DATASETThe vector dataset has been generalized to display at the scale of 1:1,000,000.TIME-SERIES ANIMATION APPLICATIONThe time-series animation application has not been generalized from its original scale (250 m pixels).The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS).CREDITSource data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf
Southern Ontario Surficial 3D Model
To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.
Surficial Geology of Granite Creek (part of NTS 105M/14 and 105M/15)
The Granite Creek map area includes the southwestern section of the Gustavus Range. This area hosts summits approximately 2000 m in elevation. Granite and Albert creeks drain into Roop Lakes, through the wide, u-shaped lower Granite Creek valley. Keystone Creek flows in a narrow, bedrock-controlled valley. Lower Granite creek flows through the middle of the valley, depositing modern fluvial gravel and a blanket of organic material on the floodplain. Till from four alpine sources, as well as from the Cordilleran Ice Sheet (CIS), blanket the lower valley and intermix with glaciolacustrine sand and silt. Glaciolacustrine sediment can also be found capping moraines, and on valley walls above lateral moraines deposited when the CIS advanced up lower Granite Creek valley. Glaciofluvial gravel forms a proglacial fan where the former Granite Creek alpine glacier terminated and meltwater channels mark most former ice margins of the CIS. Till from the most recent glaciation is found in alpine glacier and Cordilleran Ice Sheet moraines, as well as in cirque valleys as blankets and veneers where preserved. Loess forms blankets on most gentle slopes, which allows for its preservation. Colluvium veneers, blankets, and fans form below steep slopes with active rockfall. Bedrock outcrops along steep cirque headwalls and in cirque valleys, as well as in Keystone Creek where fluvial downcutting processes are active. Stone stripes formed by frost heaving are found on gentle slopes. Flat upland surfaces host weathered bedrock and mud boils.
Paleowind directions in northern North America from stabilized sand dunes
Past wind directions are mapped from stabilized sand dunes in Canada and the northern United States. The map shows the near-surface wind directions responsible for transporting sand when the dunes were active. The directions were mapped by interpreting the orientation of parabolic dunes from open-sourced Lidar (light detection and ranging) derived digital terrain models. The map also shows new dune areas that add to the existing knowledge of dune fields in North America. The interpreted wind directions provide insight into the past atmospheric circulation patterns that occurred during the deglaciation of North America and the transition to modern circulation patterns that occur today.
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