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2018
This survey is an provincial opinion poll with general political questions as well as focus questions. Collection includes polls for New Brunswick (2018).
Search Results
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2021-03-31
The data here is the data necessary to reproduce the results shown in Audette et al 2021, "Opposite responses of the dry and moist eddy heat transport into the Arctic in the PAMIP experiments".
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2012-10-04
Scale of raw images: 53.392 pixel/cm
Relative humidity: 88 %
Fan flux: 1.05 m^3/min per fan
Rotating support
Support rotation rate: 4.06 min/rot
Wall temperature: -13.15 C
Air temperature: -10.27 C
Water flow rate: 1.6463 g/min
Water type: Canadian Springs (TM) distilled water
Salt concentration: 3.20e-02 wt %
Surfactant concentration: no added surfactant
Input nozzle temperature: 2.31 C
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2012-03-26
The Canadian Association of Geographers (CAG) is the national organization representing practising geographers from public and private sectors and from universities.
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2009-06-25
<p>Characteristics include: well-being, health conditions, health behaviours, health system, accessibility, environmental factors, deaths by cause, life expectancy, personal resources, living and working conditions, community characteristics. Includes counts and rates, high and low 95% confidence intervals, coefficient of variation, significance vis-a-vis Canada, province, peer group rate, and previous reference period.</p>
<p><strong>Confidence intervals. </strong><span style=""line-height: 1.6;"">Confidence intervals (CI) and coefficient of variation (CV) indicate the reliability of the estimates in the context of survey data, generally coming from a sample. In the context of administrative sources, their formulations reflect the year-to-year variability. In both cases, these data quality measures give an indication of the precision of a given estimate. When comparing estimates, it is important to use confidence intervals to determine if differences between values are statistically significant. </span><span style=""line-height: 1.6;"">Data with a coefficient of variation from 16.6% to 33.3% are to be used with caution and are identified as follows: (E). Data with a coefficient of variation greater than 33.3% are not published because they are too unreliable due to extreme sampling variability. They are identified as follows: (F). </span><span style=""line-height: 1.6;"">Where applicable, CIs and CVs are provided along with data viewed on screen when you download. These attributes are also included when data are exported from the comprehensive download interface. Statistical significance flags (comparing regions to province/territory, Canada, and previous cycles) are also provided in the comprehensive download data base, currently calculated for data from the Canadian Community Health Survey (CCHS) only.</span></p>
<p><strong>Different period estimates available</strong><br />
<em><span style=""line-height: 1.6;"">Canadian Community Health Survey data. </span></em><span style=""line-height: 1.6;"">Most of the data from the Canadian Community Health Survey (CCHS) shown in the Health Profile are based on the 2008 cycle of CCHS core content (CANSIM table 105-0501), representing one year of collection, and a representative sample of approximately 65,000 Canadians. These estimates present the most up-to-date population health characteristics and will be produced yearly. In cases where high variability is noted especially for health regions with relatively small populations, CANSIM table 105-0502 includes estimates from 2007/2008 combined, 2005 and 2003. The two-year combined data are less current than annual estimates, but have higher precision (less variability), with a representative sample of approximately 130,000 Canadians.</span></p>
<p><em>Vital Statistics and Cancer Registry data. </em>Health region level data based on births and deaths and cancer reflect three years combined. These sub-provincial estimates are produced occasionally and therefore do not reflect the latest available statistics from these sources and boundaries in some cases. More current annual data, at the Canada and province/territory level, are routinely disseminated and available in the following Statistics Canada publications: Births (84f0210xwe), Deaths (84f0211x), Causes of Death (84-208-x), Leading Causes of Deaths (84-215-x), Mortality Summary List of Causes (84f0209x), Life Tables, Canada, Provinces and Territories (84-537-x) and Cancer Incidence in Canada (82-231-x). The health regions level data based on births and deaths (life expectancy, mortality, and low birth weight) reflect boundaries in effect as of 2003 and therefore where significant changes have occurred, such as in Prince Edward Island and Ontario, no health region level data are shown.</p>
<p><strong>Geographic coverage of the Canadian Community Health Survey (CCHS)</strong></p>
<p><em>Prince Edward Island. </em>In November 2005 Prince Edward Island officially disbanded the four health regions. The three existing counties (census divisions) provide an alternative set of boundaries to retain relevant subprovincial CCHS data.</p>
<p><em>Nova Scotia. </em>In Nova Scotia, data are only available for the six zones, which are aggregations of nine district health authorities (DHA). Zones 1, 3 and 4 are each comprised of two DHAs. The remaining three zones change in name only with the following small exception. Mount Uniacke area, previously part of Zone 3 is cut-off by new DHA 4 boundary. Statistics for this area (population 1,114) will be included with DHA 9 (Halifax area). As a result, there is high comparability between Zone 6 and DHA 9 and between Zone 3 and DHA 4/5.<br />
Zone 1 = 1211 District Health Authority (DHA) 1, 1212 District Health Authority (DHA) 2<br />
Zone 2 = 1213 District Health Authority (DHA) 3<br />
Zone 3 = 1214 District Health Authority (DHA) 4, 1215 District Health Authority (DHA) 5<br />
Zone 4 = 1216 District Health Authority (DHA) 6, 1217 District Health Authority (DHA) 7<br />
Zone 5 = 1218 District Health Authority (DHA) 8<br />
Zone 6 = 1219 District Health Authority (DHA) 9.</p>
<p><em>Quebec. </em>No data available for ""Region du Nunavik"" and ""Region des Terres-Cries-de-la-Baie-James"".</p>
<p><em>Ontario.</em> In Ontario, Public Health Units (PHU) administer health promotion and disease prevention programs. Local Health Integration Networks (LHIN) are responsible for planning, funding and administering health care programs and services across the province. Data are provided for both PHUs and LHINs. However, since the weights for the Canadian Community Health Survey sample are primarily based on PHUs, only estimates for rates (percentages) are available by LHIN in the profile. Special LHIN weights are available upon request. These weights will allow for more precise estimation at the LHIN level including the estimation of totals.</p>
<p><em>Manitoba. </em>To avoid data suppression, northern regions in Manitoba have been grouped with neighbouring regions, as follows: Churchill Regional Health Authority (4690) is combined with Burntwood Regional Health Authority (4680) and referred to as Burntwood/Churchill (4685).</p>
<p><em>Saskatchewan.</em> To avoid data suppression, northern regions in Saskatchewan have been grouped with neighbouring regions, as follows: Athabasca Health Authority (4713) is combined with Mamawetan Churchill River Regional Health Authority (4711) and Keewatin Yatthe Regional Health Authority (4712) and referred to as Mamawetan/Keewatin/Athabasca (4714).</p>
<p><em>Nunavut. </em>The Canadian Community Health Survey is administered in Nunavut, using an alternative methodology that accommodates some of the operational difficulties inherent to remote locales. The 10 largest communities are Iqaluit, Cambridge Bay, Baker Lake, Arviat, Rankin Inlet, Kugluktuk, Pond Inlet, Cape Dorset, Pangnirtung, Igloolik.</p>
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2022-01-28
These are the synchronized and calibrated data from the University of Toronto LGR multigas analyser and Airmar weather station while transported in a bike cargo trailer. These measurements were taken throughout the GTA during summer 2021.
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2022-02-11
Data for examining children's friendship preferences for hypothetical gender-(non)conforming peers, and the associations of these preferences with children's and mothers' gender-related characteristics.
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2017-10-16
Ipsos Global @dvisor wave 21 was conducted on May 9 and May 20, 2011. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Reuters Battery, BE: Threat Index, CM: Global Attitudes Toward Opinion Polling, CP: Osama bin Laden.
This dataset was donated to the University of Toronto Munk School of Global Affairs and the University of Toronto Libraries in 2016.
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2016-04-14
The Canadian Centre for Justice Statistics (CCJS), in co-operation with the policing community, collects police-reported crime statistics through the Uniform Crime Reporting Survey (UCR). The UCR Survey was designed to measure the incidence of crime in Canadian society and its characteristics. Responding to this survey is mandatory.
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2012-05-31
The National Bureau of Economic Research is a private, nonprofit, nonpartisan research organization dedicated to promoting a greater understanding of how the economy works. The NBER is committed to undertaking and disseminating unbiased economic research among public policymakers, business professionals, and the academic community. Over the years the NBER's research agenda has encompassed a wide variety of issues that confront our society. Early research focused on the aggregate economy, examining in detail the business cycle and long-term economic growth. Simon Kuznets' pioneering work on national income accounting, Wesley Mitchell's influential study of the business cycle, and Milton Friedman's research on the demand for money and the determinants of consumer spending were among the early studies done at the NBER. The NBER is the nation's leading nonprofit economic research organization. Twenty Nobel Prize winners in Economics and thirteen past chairs of the President's Council of Economic Advisers have been researchers at the NBER. The more than 1,100 professors of economics and business now teaching at colleges and universities in North America who are NBER researchers are the leading scholars in their fields. These Bureau associates concentrate on four types of empirical research: developing new statistical measurements, estimating quantitative models of economic behavior, assessing the economic effects of public policies, and projecting the effects of alternative policy proposals.
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2011-07-27
Input nozzle temperature: 2.99 C
Fan flux: not measured
Rotating support
Wall temperature: -11.84 C
Air temperature: -9.33 C
Water flow rate: 2.049 g/min
Water type: Canadian Springs (TM) distilled water
Salt concentration: no added salt
Surfactant concentration: no added surfactant
Scale of raw images: 53.984 pixel/cm
Relative humidity: 88.219 %
Support rotation rate: 4.05 min/rot
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2017-12-13
This dataset was donated to the University of Toronto Munk School of Global Affairs and the University of Toronto Libraries in 2016.
Ipsos Global @dvisor wave 37 was conducted on September 4 and September 18, 2012. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, R: Small Business/Executive Decision Makers Demo, E: Risk for Industrial Sectors, DH: World Affairs, BE: Threat Index, FQ: Social Media, CK: Nuclear.
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2018-12-06
This dataset was donated to the University of Toronto Munk School of Global Affairs and the University of Toronto Libraries in 2016.
Ipsos Global @dvisor wave 8 was conducted on April 6 and April 20, 2010. It included the following question sections: A: Demographic Profile, B: Consumer Confidence, X: Corporate/Business Risks, C: Corporate Social Responsibility, E: Risk for Industrial Sectors, R: Reuters Battery, T: FIFA World Cup, U: Football/Soccer, V: Country Flags Representativeness
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2010-03-31
Wall temperature: -10.42 C
Salt concentration: no added salt
Water type: Distilled water (Chemistry department)
Water flow rate: 3.9438 g/min
Air temperature: see timeseries
Surfactant concentration: no added surfactant
Support rotation rate: ~4 min/rot
Fan flux: not measured
Input nozzle temperature: 2.88 C
Rotating support
Scale of raw images: 53.992 pixel/cm
Relative humidity: 83.6657 %
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2017-08-31
These are preliminary, uncalibrated, synchronized data from the University of Toronto LGR multigas analyser and Airmar weather station while transported in a bike cargo trailer. These measurements were taken throughout the GTA on 3 surveys: August 10, 15, and 18, 2017.
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2020-10-14
Historical Canadian railway lines, places, and transactions in GIS formats.
HR_rails_NEW contains historical railway lines with dates of activity.
Modified from a proprietary dataset produced by ESRI Canada.
hr_places_all was also created from an ESRI base layer. Points were repositioned using
the ESRI base as reference, and new points were also added from the railway
atlas.This set of place names was used as an intermediary layer when making the
final dataset of railway lines. The places named are points where railway
construction dates change.
The GEORIA mandate is to develop georeferenced databases of environmental, social and health-related data in Canada, over time, to enable researchers to explore these problems in an historical context. The project was designed to build on pre-existing databases created by the two partners involved: Laboratoire de géographie historique/CIEQ de l'Université Laval, and the Department of Geography at the University of Toronto.
The starting point for the project were the databases developed for mapping purposes by the Historical Atlas of Canada project, and by the Atlas Historique du Quebec. Other research-related data sources available through the partners were added to the data sets. In addition, new data sets were developed by acquiring data from external sources and integrating, combining, or coding them to enhance their use. The long-term goal of the project is to coordinate this data into on-line geographical information systems (GIS) that can be used by researchers and educators alike.
The web sites for each of the partners linked above are designed to show a few examples of the types of data bases created by the project. They also provide an idea of the utility of GIS tools for exploring these kinds of data sets. For further information about the complete data sets developed for the project, and conditions of access, please contact:
georia@geog.utoronto.ca OR georia@cieq.ulaval.ca.
The term Georia was constucted from the greek word " Gê " and the latin " Historia " which together signify Earth and History. Creation of the infrastructure was funded by a grant from the Canadian Foundation for Innovation (CFI) for the project Georeferenced Databases for Assessing the Historical Conditions of Health and the Environment, as well as both university partners.
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2022-01-28
These are the synchronized and calibrated data from the University of Toronto LGR multigas analyser and Airmar weather station while transported in a bike cargo trailer. These measurements were taken throughout the GTA during summer 2020.
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2022-03-15
Replication data for "Inter-network brain functional connectivity in adolescents assigned female at birth who experience gender dysphoria"
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2022-03-07
Matlab code used for analyses for Sheese et al., "Assessment of the quality of ACE-FTS stratospheric ozone data".
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2022-03-10
<p>Topical Coverage: Political party leanings(4); eating out(23); national economic situation(3); citizens' rights(10); video cassette recorders(3); open university(3); laxative products(6)
(GBSSLT1982-CQ801A)
Map search instructions
1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.