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Armed Conflict Location and Event Data Project

ACLED (Armed Conflict Location and Event Data Project) is designed for disaggregated conflict analysis and crisis mapping. This dataset codes the dates and locations of all reported political violence events in over 60 developing countries in Africa and Asia. Political violence includes events that occur within civil wars and periods of instability, public protest and regime breakdown. The project covers all African countries from 1997 to the present, and South and South-East Asia in real-time. ACLED is directed by Prof. Clionadh Raleigh (University of Sussex). It is operated by senior research manager Caitriona Dowd (University of Sussex) for Africa and Sarah Kaiser-Cross for South and South-East Asia. The data collection involves several research analysts, including Hilary Tanoff, Charles Vannice, James Moody, Daniel Wigmore-Shepherd, Andrea Carboni, Matt Baden-Carew, Roudabeh Kishi, Fatima Zeb and others. These data contain information on: Dates and locations of conflict events; Specific types of events including battles, civilian killings, riots, protests and recruitment activities; Events by a range of actors, including rebels, governments, militias, armed groups, protesters and civilians; Changes in territorial control; and Reported fatalities.

Все наборы данных:  A B C E G
  • A
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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      The ACLED dataset codes exact locations, dates, and additional characteristics of individual battle events in states affected with civil war. There is a specific focus on tracking rebel activity and distinguishing between territorial transfers of military control from governments to rebel groups and vice versa, and the location of rebel group bases, headquarters, strongholds and presence. The dataset also records one-sided violence on civilians by both government or rebel actors and conflicts between rebel groups. The conflicts coded for in the dataset are in general compatible with the Uppsala/PRIO armed conflicts.
    • Сентябрь 2017
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 05 сентября, 2017
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      Definition for Codes : GWNO - A numeric code for each individual country EVENT_ID_CNTY - An individual identifier by number and country acronym YEAR - The year in which an event took place TIME_PRECISION - A numeric code indicating the level of certainty of the date coded for the event EVENT_TYPE - The type of conflict event ACTOR1 - The named actor involved in the event ALLY_ACTOR_1 - The named actor allied with or identifying ACTOR1 INTER1 - A numeric code indicating the type of ACTOR1 ACTOR2 - The named actor involved in the event ALLY_ACTOR_2 - The named actor allied with or identifying ACTOR2 INTER2 - A numeric code indicating the type of ACTOR2 INTERACTION - A numeric code indicating the interaction between types of ACTOR1 and ACTOR2 COUNTRY - The country in which the event took place ADM_LEVEL_1 - The largest sub-national administrative region in which the event took place ADM_LEVEL_3 - The third largest sub-national administrative region in which the event took place LATITUDE - The latitude of the location LONGITUDE - The longitude of the location GEO_PRECISION - A numeric code indicating the level of certainty of the location coded for the event SOURCE - The source of the event report NOTES - A short description of the event FATALITIES - The number of reported fatalities which occurred during the event
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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      The causes of armed conflict is most common focus among conflict researchers, and the Armed Conflict Dataset has repeatedly been used to analyze this problem. Previous versions have not contained an authoritative definition of what an onset is, and this has caused unnecessary confusion. With this release, we also provide users with a clear and user-friendly operational definition of conflict onset. The data are available in two versions, country-year and calendar-time The country-year file is based on the Gleditsch/Ward definition of the international system, and will inform the user whether the year observed an onset or not. All users of the Uppsala/PRIO data will know that a key question in this respect is how many years on inactivity we must observe within one dyad before we code a new onset between previously active parties. The country-year file comes with three pre-defined cutoff points of two, five and eight years, which allows for limited robustness checks.
    • Сентябрь 2017
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 13 сентября, 2017
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      Armed Conflict Location and Event Dataset (ACLED) All Africa Realtime Data, As of 9Sep2017
    • Сентябрь 2017
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 07 сентября, 2017
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      ACLED (Armed Conflict Location and Event Data Project) is designed for disaggregated conflict analysis and crisis mapping. This dataset codes the dates and locations of all reported political violence and protest events in over 60 developing countries. Political violence includes events that occur within civil wars and periods of instability. ACLED collects real-time data on political violence and protest in both African and Asian states. Definitions:Event Date - The day, month and year on which an event took placeYear - The year in which an event took placeEvent Type - The type of conflict eventActor - The named actor involved in the eventAlly of Actor 1 - The named actor allied with or identifying ACTOR1Interaction - A numeric code indicating the interaction between types of Actor 1 and Actor 2Country - The country in which the event took placeLocation - The location in which the event took placeFatalities - The number of reported fatalities which occurred during the eventGWNO - A numeric code for each individual countryEVENT_ID_CNTY - An individual identifier by number and country acronymEVENT_ID_NO_CNTY - An individual numeric identifierTIME_PRECISION - A numeric code indicating the level of certainty of the date coded for the eventAdministrative Region 1 - The largest sub-national administrative region in which the event took placeAdministrative Region 2 - The second largest sub-national administrative region in which the event took placeAdministrative Region 3 - The third largest sub-national administrative region in which the event took placeGEO_PRECIS - A numeric code indicating the level of certainty of the location coded for the eventSOURCE - The source of the event reportNOTES - A short description of the event
  • B
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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      This dataset includes statistics for battle deaths (soldiers and civilians killed in combat) in state-based armed conflicts. The PRIO Battle Deaths Dataset dataset defines battle deaths as deaths resulting directly from violence inflicted through the use of armed force by a party to an armed conflict during contested combat. Contested combat is use of armed force by a party to an armed conflict against any person or target during which the perpetrator faces the immediate threat of lethal force being used by another party to the conflict against him/her and/or allied fighters. Contested combat excludes the sustained destruction of soldiers or civilians outside of the context of any reciprocal threat of lethal force (e.g. execution of prisoners of war).
  • C
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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      The causes of armed conflict is most common focus among conflict researchers, and the Armed Conflict Dataset has repeatedly been used to analyze this problem. Previous versions have not contained an authoritative definition of what an onset is, and this has caused unnecessary confusion. With this release, we also provide users with a clear and user-friendly operational definition of conflict onset. The calendar-time data structure, in comparison, allows for much more thorough robustness checks. This structure, originally presented by Raknerud & Hegre (1997), is based on observations of all independent countries on the day where one of them experienced an onset. Since the relevant control group is closely linked to the observation on an onset, several types of filters can be applied within the same dataset, in order to check for robustness along various dimensions.
  • E
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
      Выбрать
      The causes of armed conflict is most common focus among conflict researchers, and the Armed Conflict Dataset has repeatedly been used to analyze this problem. Previous versions have not contained an authoritative definition of what an onset is, and this has caused unnecessary confusion. With this release, we also provide users with a clear and user-friendly operational definition of conflict onset.This Dataset contains dates of all relevant events, and the Annual Onset and Calender Time Onset are built on the information provided here.
  • G
    • Июнь 2015
      Источник: Armed Conflict Location and Event Data Project
      Загружен: Knoema
      Дата обращения к источнику: 24 июня, 2015
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      The Conflict Site Dataset is an extention to the UCDP/PRIO Armed Conflicts Dataset that provides coordinates for the conflict zones and lists of countries in which the conflicts were located. Following the procedure of earlier versions of the UCDP/PRIO data (up until v. 3-2005), the conflict zones are coded with center-point coordinates plus a radius variable to denote spatial extent.