Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Canadian Disaster Database is a publicly accessible web-based repository of historical information about natural and man-made disasters that have taken place since 1900 in Canada or abroad that have directly affected Canadians. The database contains information on over 1000 events and can be used to support research, academic activities and decision-making across a breadth of fields including earth sciences, agriculture, climate change, biology and epidemiology, land use planning, insurance, investment, and the anthropological and sociological aspects of community resilience, among many others. Canada endeavours to provide the best information possible; however, the information contained in the Canadian Disaster Database (CDD) is based on information that is sourced from outside parties and may not be accurate. Canada makes no representations, warranties, or guarantees, express or implied, that the data contained in the CDD may be relied upon for any use whatsoever. Canada accepts no responsibility or liability for inaccuracies, errors or omissions in the data and any loss, damage or costs incurred as a result of using or relying on the data in any way. The CDD may contain material that is subject to licensing requirements or copyright restrictions and may not be reproduced, published, distributed or transferred in whole or in part without the consent of the author. The CDD shares information on events that have fully concluded to ensure that the data reflects the event appropriately (i.e., insurance and disaster recovery payment information is available). For this reason, events for which the costs and/or other impacts have not fully recorded contributes to a delay in making them available through the CDD. If you have technical questions about accessing or using the data in the CDD, please write to us at ps.cdd-bdc.sp@ps-sp.gc.ca.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Canadian Importers Database (CID) provides summary reports and lists of companies importing goods into Canada. Users importing data in Excel using the default settings need to be aware that the HS6 and HS10 codes will, by default, be interpreted as a number and will lose the leading zero were applicable.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The "Canadian Database of Geochemical Surveys" has two long-term goals. Firstly, it aims to catalogue all of the regional geochemical surveys that have been carried out across Canada, beginning in the 1950s. Secondly, it aims to make the raw data from those surveys available in a standardised format. Over 1,500 surveys have been catalogued. Of these, the raw data for over 300 have been converted to a standardised format. The catalogue can be searched at https:\geochem.nrcan.gc.ca
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Canadian International Merchandise Trade (CIMT) Web Application offers the most detailed commodity trade data using the Harmonized System (HS) classification of goods (the 8-digit commodity level for exports and the 10-digit for imports). The CIMT Web Application also offers data at the international 6-digit commodity level. With the CIMT Web Application the user can visualize the latest information on customs based monthly trade through tables and charts as well as a time series report. For a selected period of time, one can also customize its selection and visualize trade, export or import, data for a specific trading partner, a specific province and a specific variable such as value, volume and a percentage change on a monthly or annual basis. The application has also the ability to retrieve the top 25 commodities traded between a selected by the user geography, Canada or a province, and trading partner, the World or a specific country, for the month of interest. When desired, the user can copy the data seen on the screen into their preferred data manipulation software. In general, merchandise trade data are revised on an ongoing basis for each month of the current year. The previous year's customs data are revised with the release of the January and February reference months as well as on a quarterly basis. The previous two years of customs based data are revised annually and are released in February with the December reference month.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset combines hail reports in Canada between 2005 and 2022 from two internal sources in Environment and Climate Change Canada. Time is in UTC. See Provinces and territories of Canada - Wikipedia for province codes. Common reference objects are used to compare with the diameter of the largest hail stone in vicinity.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Canadian data processing and hosting services are in a phase of rapid transformation driven by increasing reliance on cloud computing, accelerated digital demand, combined with a pressing need for robust cybersecurity measures. Datacenter owners have benefited from substantial public sector support, particularly tax breaks and subsidies, aligning the sector's growth trajectory with national economic priorities. These support mechanisms have allowed datacenter companies to build large data complexes, critical for sustaining the new digital economy's infrastructure, and helping the industry to grow at a dramatic CAGR of 8.8% to $16.1 billion in 2024, when revenue will expand 1.4% and profit will center at 7.6%. The rise in cloud computing has been a watershed moment, redefining how businesses manage and access their data. Data processors benefit as companies continue to outsource IT needs to streamline operations and cut costs. The market's crowded nature and high barriers to entry, such as legal compliance and startup costs, make differentiation necessary. Leading companies are navigating these challenges by pivoting to niche markets like healthcare and defense that require specialized compliance and security features. Competition dynamics also hinge on the power balance between buyers and suppliers. High buyer power is evident, particularly from sectors like IT consulting and software publishing, driving data providers to secure long-term contracts and customizable solutions to reduce churn. Meanwhile, hardware suppliers exert significant influence, particularly in segments requiring advanced technologies like AI. Some industry leaders are advancing toward vertical integration by developing proprietary hardware to mitigate this. The Canadian data processing landscape anticipates moderate but steady growth at a CAGR of 1.5% and will attempt to reach $17.4 billion. Embracing emerging technologies such as AI and machine learning will be crucial for success. Moreover, focusing on sustainability through renewable energy sources can help manage operational costs while enhancing corporate reputation. Providing scalable, secure, and innovative data solutions will empower operators to meet domestic and international client demands, ensuring competitiveness and resilience in an increasingly digital world.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This preliminary landslide database lists 3000 features with assigned landslide and material type (surficial vs. rock). Where known, the date of occurrence, trigger, and reference are provided. The landslides have mostly been identified using Google Earth and based on publicly available lidar. Previously published landslide database have also been incorporated and referenced. Landslide type attribution should be considered preliminary.
Version 2.0 represents contributions from two co-authors and the addition of approximately 600 landslide features over version 1.0. This version also makes use of active layer detachment and retrogressive thaw slump as permafrost landslide types.
Data is provided as .csv file which can be imported in GIS software and as .kmz file for visualization in Goggle Earth.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The National Pollutant Release Inventory (NPRI) is Canada's public inventory of pollutant releases (to air, water and land), disposals and transfers for recycling. This database contains the full NPRI dataset from 1993 to the current reporting year. To help you navigate, a Microsoft Word file provides information on the database’s structure and schema. The database is available in Microsoft Access format (accdb). The data are in normalized or “list” format and are optimized for pivot table analyses. The data are also available in a CSV format : https://open.canada.ca/data/en/dataset/40e01423-7728-429c-ac9d-2954385ccdfb. Please consult the following resources to enhance your analysis: Guide on using and Interpreting NPRI Data: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html Access additional data from the NPRI, including datasets and mapping products: https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/tools-resources-data/exploredata.html Supplemental Information This data is also available in non-proprietary CSV format on the Bulk Data page. http://open.canada.ca/data/en/dataset/40e01423-7728-429c-ac9d-2954385ccdfb These files contain data from 1993 to the latest reporting year available. These datasets are in normalized or ‘list’ format and are optimized for pivot table analyses. Supporting Projects: National Pollutant Release Inventory (NPRI)
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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A database of verified tornado occurrences across Canada has been created covering the 30-year period from 1980 to 2009. The tornado data have undergone a number of quality control checks and represent the most current knowledge of past tornado events over the period. However, updates may be made to the database as new or more accurate information becomes available. The data have been converted to a geo-referenced mapping file that can be viewed and manipulated using GIS software.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Canadian Wildlife Service maintains a waterbird colony database which holds colony census information such as counts of birds, nests, burrows, and holes observed at individual seabird colonies located in the Atlantic region of Canada. The methods used to conduct censuses are varied as it is not possible to regularly visit every colony. Each record in the colonies database census table references the census method.
Version 1 of this resource contains presence information of adult birds only. Future versions may contain more information. In the meantime please contact CWS directly should you require more information.
The Canadian Longitudinal Tract Database enables the spatial apportionment of Canadian census tract-level data from different census years to common geographic boundaries. This dataset contains the apportionment tables and associated documentation.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Canadian Importers Database (CID) provides summary reports and lists of companies importing goods into Canada. Users importing data in Excel using the default settings need to be aware that the HS6 and HS10 codes will, by default, be interpreted as a number and will lose the leading zero were applicable.
This table contains 664 series, with data for years 2009 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Canada; Atlantic provinces; Quebec; Ontario; ...) Statistical variables (2 items: Total, all farms; Average per farm) Agriculture balance sheets, revenue and expenses (42 items: Number of farms; Total assets; Current assets; Cash and short term investments, current assets; ...).
This table presents a series of indicators relating to the COVID-19 pandemic, including relating to perceptions of Canadians' mental health, precautions they've taken, and willingness to receive vaccine. Estimates are based on preliminary monthly data from the Canadian Community Health Survey, and are provided for the Canadian population aged 12 and older excluding the territories, by gender, age and region of residence.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset contains functional traits of 102 crustacean zooplankton taxa. The taxa included here covers the species sampled in 624 Canadian lakes as part of the LakePulse Network. The trait database was assembled and refined based primarily on two published freshwater compilations by the authors (Barnett et al. 2007, Hébert et al. 2016), as well as the body sizes (lengths in mm) measured in the LakePulse pan-Canadian dataset. The traits used are: feeding type (B(Bosmina)-filtration, C(Chydorus)-filtration, D(Daphia)-filtration, S(Sidae)-filtration, stationary suspension or raptorial), habitat (littoral, pelagic or intermediate) and trophic group (carnivore, herbivore, omnivore, or a combination of these). Species body lengths were based on the measurement of up to 10 individuals per taxon per lake by BSA Environmental Services (Ohio, U.S.A.), and averaged by taxon. Feeding type, habitat and trophic group functional traits were obtained from literature (Barnett et al., 2007; Demott & Kerfoot, 1982; Griffiths et al., 2019; Hébert et al., 2016).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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AbstractOceanic ecosystem services support a range of human benefits, and Canada has extensive research networks producing growing data sets. We present a first effort to compile, link, and harmonize available information to provide new perspectives on the status of Canadian ocean ecosystems and corresponding research. The metadata database currently includes 1094 individual assessments and data sets from government (n = 716), nongovernment (n = 320), and academic sources (n = 58), comprising research on marine species, natural drivers and resources, human activities, ecosystem services, and governance, with data sets spanning 1979–2012 on average. Overall, research shows a strong prevalence towards single-species fishery studies, with an underrepresentation of economic and social aspects, and of the Arctic region in general. Nevertheless, the number of studies that are multispecies or ecosystem-based have increased since the 1960s. We present and discuss two illustrative case studies — marine protected area establishment in Canada and herring resource use by the Heiltsuk First Nation — highlighting the potential use of multidisciplinary data sets drawn from metadata records. Identifying knowledge gaps is key to achieving the comprehensive, accessible and interdisciplinary data sets and subsequent analyses necessary for new sustainability policies that meet both ecological and socioeconomic needs. Usage notesOceanCanada Marine Research MetadataThis dataset is an integrated list of marine-related assessments and reports produced for the Canadian Arctic, Atlantic, and Pacific Oceans. These include stock assessments, fisheries statistics, spatial use data, research frameworks, and ecosystem evaluations and projections, compiled from Canadian government, intergovernmental, non-government, and academic sources. Subjects covered include marine species and ecosystem service production, value, and status, and data contained in each assessment may be available for use as indicated.Meta Dryad.xlsx
The aim of this database is to record past military operations that the Canadian Forces have participated in around the world since 1945. Over 400 international operations have been identified so far, but the historical research required for each has not yet been completed. Substantive entries have been prepared for on-going operations; new operations will be added to the list as required.
An aquatic invader is a non-native species, whose introduction will likely cause (or has already caused) damage to the host ecosystem, existing species therein, the economy or human well-being. Invasive species thrive in the absence of their native predators and have the potential to drastically alter habitat, rendering it inhospitable for native species. Aquatic invasive species (AIS) have been entering Canadian waters for centuries but never as rapidly as today. Fisheries and Oceans Canada maintains a national AIS database containing field and experimental datasets submitted by researchers across the country. The OBIS view of this collection contains information related to the geographic distribution of selected AIS species from the field datasets. Date, abundance and biomass information is currently not included in this version of the OBIS view of the dataset.
A comprehensive database dedicated solely to Canadian cheeses made from cow, goat, sheep, or buffalo milk.
Canada produces more than 1450 cheeses that are listed in the Canadian Cheese Directory. The several varieties of cheese have been established according to guidelines including the type of milk, the cheese category, the milk treatment, the fat content, the ripening period and the production method.
The Canadian Cheese Directory is compiled and updated by the Canadian Dairy Information Centre (CDIC) in collaboration with the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec (MAPAQ).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Canadian Disaster Database is a publicly accessible web-based repository of historical information about natural and man-made disasters that have taken place since 1900 in Canada or abroad that have directly affected Canadians. The database contains information on over 1000 events and can be used to support research, academic activities and decision-making across a breadth of fields including earth sciences, agriculture, climate change, biology and epidemiology, land use planning, insurance, investment, and the anthropological and sociological aspects of community resilience, among many others. Canada endeavours to provide the best information possible; however, the information contained in the Canadian Disaster Database (CDD) is based on information that is sourced from outside parties and may not be accurate. Canada makes no representations, warranties, or guarantees, express or implied, that the data contained in the CDD may be relied upon for any use whatsoever. Canada accepts no responsibility or liability for inaccuracies, errors or omissions in the data and any loss, damage or costs incurred as a result of using or relying on the data in any way. The CDD may contain material that is subject to licensing requirements or copyright restrictions and may not be reproduced, published, distributed or transferred in whole or in part without the consent of the author. The CDD shares information on events that have fully concluded to ensure that the data reflects the event appropriately (i.e., insurance and disaster recovery payment information is available). For this reason, events for which the costs and/or other impacts have not fully recorded contributes to a delay in making them available through the CDD. If you have technical questions about accessing or using the data in the CDD, please write to us at ps.cdd-bdc.sp@ps-sp.gc.ca.