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The last update of this file will occur on Thursday December 1, 2022. For more information about COVID-19 cases and deaths by public health unit, please consult the Public Health Ontario COVID-19 data tool This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. ## Data includes: * reporting date * reporting Public Health Unit (PHU) * case outcomes (active, resolutions and deaths) The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID.

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.

The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

Stream benthic invertebrates are important indicators of aquatic health and have been monitored in PEI National Park to assess community diversity as well as abundance of pollution tolerant and intolerant taxa in streams. Benthic invertebrates are collected on an annual basis using the sampling methods developed by Environment Canada for the "CABIN" stream monitoring network. Samples are sorted and invertebrates are classified to the lowest possible taxomonic classification to determine abundance and biodiversity in these aquatic ecosystems. Community biodiversity is assessed using the Simpson’s reciprocal index (D).

An archive of 2D regional seismic and long period magnetotelluric data collected during 20 years of work under the LITHOPROBE project. Data are primarily onshore and cover widespread regions of Canada. Available data types include raw digital data, processed sections, and images of final sections, as well as auxiliary information required for analysis of the data.

Average percentage of workforce anticipated to work on-site or telework over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2021.

The operating expenses by North American Industry Classification System (NAICS) which include all members under industry expenditures, for spectator sports, event promoters, artists and related industries (NAICS 7112, 7113, 7114 & 7115), annual (percent), for five years of data.

Accident severity assessment indicators provided by the number of fatalities, injured persons and severity levels reported during the transportation and handling of dangerous goods by Road, Rail, Marine and Air transportation modes and at Facilities. Annual data is available from 1987.

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

Binder used by the Minister of National Defence to support her appearance on the Situation in Afghanistan in front of the House Special Committee on Afghanistan.

>Warning: Since June 2020, this dataset is no longer updated and has been replaced. Please visit https://www.donneesquebec.ca/recherche/fr/dataset/evenements-de-securite-civile for data on civil security events since June 2020. This database brings together in a structured way information related to past disasters that has been systematically consolidated and centralized by the Department of Public Security (MSP). The consequences and evolution of events are documented and they have been categorized according to their level of impact on the safety of citizens, goods and services to the public based on criteria defined in the Canadian profile of the Common Alerting Protocol. It is continuously updated by the MSP Operations Directorate (DO). This database will make it possible to carry out analyses at regional and local scales and can be used by municipalities in the realization of their emergency measures plan. The archive of event histories comes from event reports and situation reports that have been produced by the Government Operations Centre (GOC) and by the MSP regional directorates. It includes: 1- Observations entered directly into the Geoportal by the civil security advisers of the regional directorates; 2- A compilation of information recorded in the COG event reports and OD situation reports disseminated to MSP partners since 1996; 3- A compilation of information contained in the files of the regional directorates. This may include paper information, event or field visit reports, paper or digital maps, etc. The information recorded in this database is consistent with the Canadian Profile of the Common Alerting Protocol (CAP-CP). The CAP-CP is a set of rules and controlled values that support the translation and composition of a message to make it possible to send it by different means and from different sources. Severity is an attribute defined in the CAP-CP. It is used to characterize the severity level of the event based on the damage to the lives of people or damage to property. This level of severity is defined by the following characteristics: Extreme: extraordinary threat to life or property; Significant: significant threat to life or property; Moderate: possible threat to life or property; Minor: low or no threat to life or property; Unknown: unknown severity, used among others when of tests and exercises. The level of urgency is determined based on the reactive measures that need to be taken in response to the current situation. It is defined by the following characteristics: Immediate: a reactive action must be taken immediately; Planned: a reactive action must be taken soon (within the next hour); Future: a reactive action must be taken in the near future; Past: a reactive measure is no longer necessary; Unknown: Unknown urgency, to be used during essays and exercises. The status relates to the context of the event, real or simulated. It is defined by the following characteristics: Current: information about a real event or situation; Exercise: fictitious or real information carried out as part of a civil security exercise; Essay: technical tests only; to be ignored by all. Certainty is defined by the following characteristics: Observed: would have occurred or is currently taking place; Likely: probability that the event will occur > 50%; Possible: probability that the event will occur < 50%; Unlikely: probability that the event will occur around 0%; Unknown: unknown certainty. When an event date was not known, the year 1900-01-01 was recorded. DESCRIPTION OF ATTRIBUTES: Date of observation: date of the event or observation; Type: name of the hazard; Name: name of the municipality; Municipality code: municipal code; State and certainty: since these are actual events, the status is generally “current” and certainty is generally “observed”; Urgency: the term “past” has generally been used for events that occurred before the compilation work was carried out; Inaccuracy: inaccuracy in a data (the date of the event, its location, the source of the data or no inaccuracy noted).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**