Luciano Cohan

This dataset includes monthly information about the records of the votes cast in the United Nations General Assembly, which is the primary deliberative body of the UN. The data is published in Harvard Dataverse. This dataset includes the vote choice, roll-cad vote id, UN session and UN resolution number.
To access additional information and details regarding the variables, please refer to: https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/LEJUQZ/DYNZPA&version=29.0

Miscellaneous - Global - Harvard Dataverse - United Nations Voting

The Harvard University offers Harvard Dataverse, a repository for research data. The Harvard Dataverse Repository is a free data repository open to all researchers from any discipline, both inside and outside of the Harvard community, where you can share, archive, cite, access, and explore research data. 

Harvard Dataverse

Alphacast

This dataset icludes yearly information of the Political Regime Characteristics and Transitions published by Center for Systemic Peace (CSP), for multiple countries. These are annual, cross-national, time-series and polity-case formats coding democratic and autocratic "patterns of authority" and regime changes in all independent countries with total population greater than 500,000 in 2018 (167 countries in 2018).
To access additional information and details regarding the variables and methodology, please refer to: https://www.systemicpeace.org/inscr/p5manualv2018.pdf

Miscellaneous - Global - Center for Systemic Peace - Political Regime Characteristics & Transitions

The Center for Systemic Peace (CSP) was founded in 1997. It is engaged in innovative research on the problem of political violence within the structural context of the dynamic global system, that is, global systems analysis. The Center supports scientific research and quantitative analysis in many issue areas related to the fundamental problems of violence in both human relations and societal-systemic development processes.

Center for Systemic Peace (CSP) 

This dataset includes yearly information of the Social Unrest Index for multiple countries published in "Measuring Social Unrest Using Media Reports" by Philip Barret, Maximiliano Appendino, Kate Nguyen, and Jorge de Leon Miranda. The Social Unrest Index measures the risk of social conflicts in countries and is used to assess the level of vulnerability of a society to instability. It takes into account a range of factors, including economic inequality, poverty, social exclusion, and lack of effective governance. To access additional information and details regarding the methodology about the index, [read here](https://www.imf.org/en/Publications/WP/Issues/2020/07/17/Measuring-Social-Unrest-Using-Media-Reports-49573).

Miscellaneous

Country

Frequency

Region

Timeframe

Miscellaneous - Global - Harvard Dataverse - United Nations Voting
published in
Alphacast /
Harvard Dataverse

Miscellaneous - Global - Center for Systemic Peace - Political Regime Characteristics & Transitions
published in
Alphacast /
Center for Systemic Peace (CSP)

Miscellaneous - Global - Social Unrest Index
published in
Alphacast /
Global Economic Datasets