A global, georeferenced event dataset, based on UCDP data, identifying electoral violence with lethal outcomes from 1989 to 2017.

Available as:

 

Please cite:

• Fjelde, Hanne and Kristine Höglund (2021) “Introducing the Deadly Electoral Conflict Dataset (DECO)” Journal of Conflict Resolution, https://doi.org/10.1177/00220027211021620

 

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An actor-year dataset with information on the ethnic identity of civilian victims of direct and deliberate killings by state and non-state actors from 1989 to 2013. The dataset is based on the UCDP One-Sided Violence Dataset version 1.4-2014. Target groups are denoted with EPR IDs.

Available as:

 

Please cite:

• Fjelde, Hanne, Lisa Hultman, Livia Schubiger, Lars-Erik Cederman, Simon Hug, and Margareta Sollenberg (2019) Introducing the Ethnic One-Sided Violence dataset. Conflict Management and Peace Science: https://doi.org/10.1177/0738894219863256

 

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In version 17.1 of all UCDP datasets, the ID system for conflicts, actors and dyads was changed in order to make them unique across all UCDP core datasets and all UCDP types of violence. This allows easier aggregation and disaggregation of data as well as simplify data management for users, especially when combining multiple UCDP products together.

This means all IDs used in the dataset from version 17.1 and onwards are no longer compatible with those in older versions of UCDP products. Further, this means that external products relying on UCDP IDs for data management tasks will have to be adapted to work with the new ID systems.

A conversion table between the new and old ID systems is available below, if you want to use the current datasets with the old ones.

For State-based (UCDP/PRIO) conflict IDs:

 

For State-based, Non-State and One-Sided Dyad IDs:

 

For Actor IDs:

 

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This dataset provides information on specific start- and end- dates for conflict activity and means of termination for each conflict episode. The data is available as a conflict-level dataset which corresponds with the UCDP/PRIO Armed Conflict Dataset v 21.1, and a dyad-level dataset which corresponds with the UCDP Dyadic Dataset v. 21.1.

Available at conflict level as:

 

Available at dyadic level as:

 

Please cite:

• Kreutz, Joakim (2010) How and When Armed Conflicts End: Introducing the UCDP Conflict Termination Dataset. Journal of Peace Research 47(2).

 

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A dyad-year dataset containing information on conflict issues and key actor characteristics in non-state conflict. The dataset covers non-state conflicts in Africa, 1989-2011 and is compatible with the UCDP Non-State Conflict Dataset v. 2.5-2016.

The data builds on and extends the UCDP Non-State Conflict Dataset by introducing additional information on what the actors in the conflict are fighting over, alongside actor characteristics. The data set distinguishes between two main categories of issues, territory or authority, in addition to a residual category of other issues.

Available as:

 

Please cite:

• Nina von Uexkull & Therese Pettersson (2018) Issues and Actors in African Nonstate Conflicts: A New Data Set. International Interactions. Full text is available here.

 

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A dyad-year dataset containing information on external support in non-state conflict. The dataset covers non-state conflicts in Africa, 1989-2011 and is compatible with the UCDP Non-State Conflict Dataset v. 2.5-2016.

The data builds on and extends the UCDP External Support Dataset and the UCDP Non-State Conflict Dataset by introducing additional information on external support to warring parties in non-state conflicts.

Available as:

 

Please cite:

• Nina von Uexkull & Therese Pettersson (2018) Issues and Actors in African Nonstate Conflicts: A New Data Set. International Interactions. Full text is available here.

 

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A dataset providing information on the existence, type, and provider of external support for all warring parties (actors) coded as active in UCDP data, on an annual basis, between 1975 and 2017. The ESD builds on the UCDP Dyadic Dataset 18.1 derived from the UCDP/PRIO Armed Conflict Dataset 18.1 but goes beyond the dyad-level and offers the warring party-opponent-year (actor-year) as well as the warring-party-supporter-opponent-year (or triad-year) as units of analysis in addition to the dyad-year.

Choosing the right dataset:

When using the ESD, researchers can choose between the following three different units of analysis: the triad-year version (ESD TY), the actor-year version (ESD AY), and the dyad-year version (ESD DY). Further units of analysis, e.g. at the conflict-level or the actor-level, can be created from the triad-year version.

ESD TY: Triad-year The triad-level dataset (ESD TY) is the most disaggregated and extensive version of the data. It contains yearly information on the external supporter and the recipient of support specific to the conflict-dyad the recipient is involved in. It thus contains one observation (row) for each combination of external supporter, recipient, and opponent per year. All aggregated versions of the dataset can be built from this version. This version is appropriate where the focus rests on the individual external supporters and can be used to create aggregate measures of characteristics of the external supporter such as, e.g. combined military capabilities.

ESD AY: Actor-year The actor-year dataset (ESD AY) contains all support a recipient receives in a given dyad-year. If more than one external supporter provides external support, the external support is combined and presented as aggregate measures. It thus contains one observation (row) for each actor per dyad-year. This version is appropriate where the focus rests on the recipients of external support regardless of which external supporters provide the support.

ESD DY: Dyad-year The dyad-level dataset (ESD DY) is the most aggregated version of the three datasets and presents information on external support to the conflict-dyad as a whole at the dyad-year unit of analysis. If more than one external supporter provides external support, the external support is combined and presented as aggregate measures. As such it contains one observation (row) for each dyad per year. This version is appropriate where existing data is in a dyad-year structure or the focus rests on the impact of external support on conflict more generally.

ESD TY: Triad-year:

 

ESD AY: Actor-year:

 

ESD DY: Dyad-year:

 

Please cite:

• Meier, Vanessa, Niklas Karlén, Therése Pettersson & Mihai Croicu (2022). External Support in Armed Conflicts. Introducing the UCDP External Support Dataset (ESD), 1975-2017. Journal of Peace Research. Online First.

 

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An event-dataset that covers all measures taken by third parties in low-intensity intrastate dyad-years in the time period 1993-2004. The dataset includes information on e.g. the date of each event, name of third party/-ies, total number of third parties, type of measure, the topic of talks etc.

Available as:

 

Please cite:

• Melander, Erik, Möller, Frida and Öberg, Magnus (2009) Managing Intrastate Low-Intensity Armed Conflict 1993-2004: A New Dataset. International Interactions 35(1).

 

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A dataset containing all third party interventions in conflict dyads in Africa between 1993 and 2007. The dataset is compatible with the UCDP Dyadic Dataset v.1 2010 for the years 1993-2007. The dataset is highly disaggregated, the object of analysis being the dyad-third-party intervention event-day. For each third party intervention a substantial number of variables are collected. These include the identity and type (state, IGO, NGO etc.) of the interveners, the type and topic of intervention and the receiver of intervention (whether the target was the government, rebel(s) or both sides). Data is collected for all UCDP active years as well as for a three year period of inactivity after each conflict episode.

For a list of Actor IDs listed in the MIC data which are not included in the UCDP Actor Dataset, click here.

Available as:

 

Please cite:

• Croicu, Mihai, Erik Melander, Marcus Nilsson and Peter Wallensteen, Mediation and Violence: Searching for third party intervention that matters. Paper presented at the Annual Meeting of the International Studies Association, San Francisco, USA, 3-6 April 2013.