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We have found 199 datasets for the keyword " civil security events". You can continue exploring the search results in the list below.
Datasets: 106,578
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Civil security events
The purpose of this dataset is to make it possible to locate civil security events recorded by the Operations Directorate of the Ministry of Homeland Security. It brings together in a structured way operational information related to impending claims or that have had an impact on citizens, goods or services to the population since June 2020.It contains information concerning the date of reporting, the hazard, the municipality and the severity of the event.Attention:The wording of the hazards was changed in 2026 (see list in the additional information).The severity level changed in meaning in January 2026:* __Overview__ (formerly Unknown):Negligible or Surveillance, no disturbances. The minimum severity “On surveillance” isolates events under surveillance or in forecasting (as opposed to events with real impacts, i.e. where interventions and consequences materialize).These events are separated into a layer called __Potential civil security events__. The __Civil Security Events__ layer, on the other hand, excludes “On Watch” severity events. * __Minor__: Normal functioning of the community despite some minor disturbances, not requiring or requiring limited mobilization of local resources, localized impacts, rapid recovery.* __Moderate__: Disruptions in community functioning requiring significant mobilization of local resources or existing agreements. Degradation or partial interruption of certain services and sectors of activity, specific media issue, several sectors affected.* __Significant__: Significant and long-lasting disruption to community functioning. Mobilization of external resources required for certain issues. Interruption or significant deterioration of the majority of services.* __Extreme__: Situation in which the community cannot function without significant external resource support, massive evacuation, considerable losses.For points BEFORE 2026: the severity used is defined according to the Canadian Common Alert Protocol Profile (PC-PAC). It is used to characterize the severity level of an event based on the harm to the lives of people or damage to property. For more information on the PC-PAC, consult the Public Safety Canada website.* Extreme: extraordinary threat to life or property; * Important: significant threat to life or property; * Moderate: possible threat to life or property; * Minor: low or non-existent threat to life or property; * On monitoring/Unknown: severity unknown.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Emergency Management historical events
Most of these events involved community evacuations, significant structural loss and/or involvement of a Ministry of Natural Resources (MNR) Emergency Response Officer. Events include those assigned to MNR by an Order-In-Council under the Emergency Management and Civil Protection Act as well as events where MNR provided requested emergency response assistance. These events fall into one of ten type categories: * dam failure * drought /low water * erosion * flood * forest fire * soil and bedrock instability * Petroleum Resource Center event * EMO requested assistance * continuity of operations event * other requested assistance This product requires the use of geographic information system (GIS) software.
History of civil security events - Archives
>Warning: as of June 2020, this dataset is no longer updated and has been replaced. Please see 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 claims that have been systematically grouped and centralized by the Ministry of Public Security (MSP). The consequences and evolution of the events are documented and they have been categorized according to their level of impact on the safety of citizens, goods and services to the population based on criteria defined in the Canadian profile of the Common Alert Protocol. It is updated continuously by the MSP Operations Department (DO). This database will allow analyses to be carried out at regional and local levels and can be used by municipalities in the implementation of their emergency measures plans.The event history archives come from event reports and status reports that were produced by the Government Operations Center (COG) and by the regional directorates of the MSP. Among other things, we find: 1- Observations entered directly into the Geoportal by the civil security advisers of the regional directorates; 2- A compilation of information recorded in COG event reports and DO status reports distributed to MSP partners since 1996; 3- A compilation of the information contained in the files of the regional directorates. This can be information on paper, event reports or field visits, paper or digital maps, etc. The information in this database is consistent with the Canadian Common Alert Protocol Profile (PC-PAC). The PC-PAC 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. The severity level is an attribute defined in the PC-PAC. It is used to characterize the severity level of the event based on the harm to the lives of people or damage to property. This severity level is defined by the following characteristics: Extreme: an extraordinary threat to life or property; Significant: significant threat to life or property; Moderate: possible threat to life or property; Minor: a low or non-existent threat to life or property; Unknown: unknown severity, used for example during tests and exercises. The emergency level 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: reactive action must be taken immediately;Expected: reactive action should be taken soon (within the next hour);Future: reactive action should be taken in the near future;Past: a reactive measure is no longer necessary;Unknown: Unknown emergency, to be used during tests and exercises.The state relates to the context of the event, real or simulated. It is defined by the following characteristics:Current: information on a real event or situation;Exercise: fictional or real information produced as part of a civil security exercise;Test: technical tests only; to be ignored by all. Confidence is defined by the following characteristics:Observed: would have happened or is currently taking place;Probable: probability of the event happening > 50%;Possible: probability of the event happening < 50%;Unlikely: probability of the event happening around 0%;Unknown: certainty unknown.When an event date was not known, the year 1900-01-01 was recorded.DESCRIPTION OF ATTRIBUTES:Observation date: date of the event or observation; Type: name of the hazard;Name: name of the municipality;Municipality code: municipal code;State and certainty: as these are real events, the state is generally “current” and the certainty is generally “observed”;Urgency: the term “past” has generally been used for events that occurred before compilation work was carried out;Imprecision: imprecision in 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).**
Regional Civil and Fire Safety Offices
Location of the regional civil and fire safety offices of the Ministry of Public Security (MSP).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Spring 2026 flood mapping
The purpose of this dataset is to locate the events related to the spring 2026 floods recorded by the Deputy Directorate General of Operations of the Ministry of Public Safety. All data can be viewed on an interactive map and available as WMS and WFS web services.To monitor the status of watercourses live, please refer to the Vigilance - Flood Monitoring application# List of available data:* Open water body polygons by date and 2026 flood zone (merged polygons): open water extent limits derived from radar satellite images, operational data, not validated.* Location of flood events since April 10, 2026: points approximately locating the flood-related events recorded by the Operations Directorate of the Ministry of Public Security as of April 10, 2026 (derived from the Civil Security Events dataset).* Municipalities and agglomerations affected by civil security events relating to floods since April 10, 2026: cartographic representation of municipalities affected (or under surveillance) by flood events since April 10, 2026.* Sentinel-2 or Landsat 8 satellite images: satellite images covering flooded areas and presented in the form of a colored compound using infrared, red and blue wavelengths (the water appears turquoise to black)Note:Satellite acquisitions for the RADARSAT Constellation Mission (RCM) are planned in collaboration with the Government of Canada Operations Centre, the Canadian Space Agency and Natural Resources Canada. The images obtained are processed by the emergency geomatics services of Natural Resources Canada as soon as possible and then the open water polygons are distributed as open data on Data Canada and on Data Quebec. Other optical or radar acquisitions may have been obtained by the Ministry of Public Security (MSP) from private suppliers. The Sentinel-1 and Sentinel-2 acquisitions released in open data by the European Space Agency (ESA) were processed by the firm Arctus.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Spring 2023 flood mapping
The purpose of this dataset is to locate the events related to the spring 2023 floods recorded by the Deputy Directorate General of Operations of the Ministry of Public Security. All data can be viewed on an interactive map and available as WMS and WFS web services.> To monitor the status of watercourses live, please refer to the [Vigilance - Flood Monitoring] application (https://vigilance.geo.msp.gouv.qc.ca/)### List of available data:* **Open water extent polygons derived from satellite data**: extent limits of open waters derived from radar satellite images.* **Location of flood events since April 14, 2023**: points approximately locating the flood events recorded by the Operations Directorate of the Ministry of Public Security as of April 14, 2023 (derived from the [Civil Security Events] dataset (https://www.donneesquebec.ca/recherche/dataset/evenements-de-securite-civile)).* **Municipalities affected by flood events since April 14, 2023**: cartographic representation of municipalities affected by flood events since April 14, 2023.* **Sentinel-2 satellite image**: satellite image covering flooded areas and presented as a colored compound using short band infrared, near infrared, and red wavelengths.## #Note:Satellite acquisitions for the RADARSAT Constellation Mission (RCM) are planned in collaboration with Natural Resources Canada. The images obtained are processed by the emergency geomatics services of Natural Resources Canada as soon as possible and then the open water polygons are distributed as open data on Data Canada and on Data Quebec. Other optical or radar acquisitions may have been obtained by the Ministry of Public Security (MSP) from private suppliers. The Sentinel-1 and Sentinel-2 acquisitions released in open data by the European Space Agency (ESA) were processed by the Dromedaire Géo-Innovations firm. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Forest Abiotic Damage Event
An abiotic damage event is a non-biological event -- such as wind or an ice storm -- that has damaged areas of forested land. Abiotic damage event information is mainly used to: * generate summary maps for these events at a general or provincial scale * monitor the extent of damage for forest fire prevention purposes * calculate gross timber volume loss estimates caused by these events This product requires the use of geographic information system (GIS) software.
Public safety incidents
Public safety incidents that occurred on the territory of the City of Sherbrooke over the past three years. The location of incidents other than road accidents is reported to the intersection of the road network closest to the scene of the incident.attributs:IncidentType - Incident Type (coded value) DESCRIPTION - Description of the type of incidentDateIncident - Incident Date - Incident Date - Incident Date - Incident Date - Incident Date - Incident Date Text - Incident Date in text format (YYYY-MM-DD))**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Forest Miscellaneous Damage Event
Miscellaneous events are often the result of the cumulative impact of a combination of abiotic, insect and disease agents or events. For example, Aspen decline where repeated infestations of Forest Tent Caterpillar, are combined with several seasons of prolonged drought. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.
Blue Whale - High density feeding areas
11 tagged Blue whales (Balaenoptera musculus) were tracked during the daytime movements as well as the feeding behaviour in the St. Lawrence River estuary. Kernel density was applied to derminate the high density feeding areas of all individuals combined (30, 40, 50, 60, 75, 95 %).Doniol-Valcroze T, Lesage V, Giard J, Michaud R, 2012. Challenges in marine mammal habitat modelling: evidence of multiple foraging habitats from the identification of feeding events in blue whales. Endang Species Res, Vol. 17 : 255–268, doi : 10.3354/esr00427(English version only)
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