http://hdl.handle.net/11089/1021 2026-04-03T21:49:02Z http://hdl.handle.net/11089/57283 Bilateral Relations Index: Presidential Transitions and US Bilateral Relations (1992-2023) (dataset) Kobierecki, Michał Marcin; Strożek, Piotr Projekt ma na celu opracowanie metody mierzenia stosunków dwustronnych między państwami, wykorzystującej dane ilościowe. Indeks Stosunków Dwustronnych (BRI) pozwala na ocenę stanu stosunków dwustronnych między dowolną parą państw. Narzędzie to, między innymi, umożliwia ocenę, czy dana inicjatywa, działanie lub wydarzenie doprowadziło do zauważalnej zmiany w stosunkach dwustronnych, a także na identyfikację trendów i wahań. The dataset provides data used to estimate the fluctuations of bilateral relations between the United States and other countries under different US Presidents in the post-Cold War period. The sample includes relations with India, Japan, Brazil, Nigeria, France, Germany, Russia, the United Kingdom, Ukraine, and Turkey. Data was generated using the Bilateral Relations Index (BRI). 2026-01-20T00:00:00Z http://hdl.handle.net/11089/57002 Bilateral Relations Index: Data for analysis of the Russia-Ukraine conflict and the USA-China rivalry (dataset) Kobierecki, Michał Marcin; Strożek, Piotr The dataset includes quantitative data on the bilateral relationship between Russia and Ukraine, the USA and China, and their respective relations with world's global and middle powers as per the Global Power Index: China, India, Japan, the United States, Germany, France, Russia, and the United Kingdom, calculated under the framework of the Bilateral Relations Index project. The indicators used in the index, with their respective weights in parentheses, are as follows: engagement in a military conflict (4,91), arms transfer and sales (3,55), political-military alliances (4,06), sanctions (4,36), diplomatic rupture (4,43), preferential trade agreements (3,88), UN voting coincidence (3,03), foreign visits by heads of states and governments (4,12). The data was derived from the UCDP Dyadic Dataset (Davies et al., 2025), SIPRI Arms Transfers Database (SIPRI, n.d.), Correlates of War Formal Interstate Alliance Dataset (Gibler, 2009), Global Sanctions Database (Felbermayr et al., 2020), Diplometrics Diplomatic Representation dataset (Moyer et al., 2022) and the Correlates of War Diplomatic Exchange dataset (Bayer, 2006), WTO Regional Trade Agreements Database (WTO, n.d.), UNGA Coincidence Scores as Time Series (PardeeCenterIFs, n.d.), and Country & Organization Leader Travel database (Moyer et al., 2025). For indicators regarding diplomatic raptures, manual coding was required based on available data. For several indicators, additional weights were applied to differentiate varying intensities. 2025-12-17T00:00:00Z http://hdl.handle.net/11089/56828 Bilateral Relations Index: Data for bilateral relations of France, 1992-2023 (dataset) Kobierecki, Michał Marcin The dataset includes quantitative data on the bilateral relationship between France and the United States, China, Brazil, the UK, Germany, Russia, Ukraine, Nigeria, Turkey, Japan, and India, calculated under the framework of the Bilateral Relations Index project. The indicators used in the index, with their respective weights in parentheses, are as follows: engagement in a military conflict (4,91), arms transfer and sales (3,55), political-military alliances (4,06), sanctions (4,36), diplomatic rupture (4,43), preferential trade agreements (3,88), UN voting coincidence (3,03), foreign visits by heads of states and governments (4,12). The data was derived from the UCDP Dyadic Dataset (Davies et al., 2025), SIPRI Arms Transfers Database (SIPRI, n.d.), Correlates of War Formal Interstate Alliance Dataset (Gibler, 2009), Global Sanctions Database (Felbermayr et al., 2020), Diplometrics Diplomatic Representation dataset (Moyer et al., 2022) and the Correlates of War Diplomatic Exchange dataset (Bayer, 2006), WTO Regional Trade Agreements Database (WTO, n.d.), UNGA Coincidence Scores as Time Series (PardeeCenterIFs, n.d.), and Country & Organization Leader Travel database (Moyer et al., 2025). For indicators regarding diplomatic raptures, manual coding was required based on available data. For several indicators, additional weights were applied to differentiate varying intensities. 2025-12-03T00:00:00Z http://hdl.handle.net/11089/56693 Bilateral Relations Index: Data for bilateral relations of the US and China, 1992-2023 (dataset) Kobierecki, Michał Marcin The dataset includes quantitative data on bilateral relationship between the United States and China, two major contemporary powers, and their respective interactions with Brazil, the UK, France, Germany, Russia, Ukraine, Nigeria, Turkey, Japan and India, calculated under the framework of Bilateral Relations Index project. The indicators used in the index, with their respective weights in parentheses, are as follows: engagement in a military conflict (4,91), arms transfer and sales (3,55), political-military alliances (4,06), sanctions (4,36), diplomatic rupture (4,43), preferential trade agreements (3,88), UN voting coincidence (3,03), foreign visits by heads of states and governments (4,12). The data was derived from the UCDP Dyadic Dataset (Davies et al., 2025), SIPRI Arms Transfers Database (SIPRI, n.d.), Correlates of War Formal Interstate Alliance Dataset (Gibler, 2009), Global Sanctions Database (Felbermayr et al., 2020), Diplometrics Diplomatic Representation dataset (Moyer et al., 2022) and the Correlates of War Diplomatic Exchange dataset (Bayer, 2006), WTO Regional Trade Agreements Database (WTO, n.d.), UNGA Coincidence Scores as Time Series (PardeeCenterIFs, n.d.), and Country & Organization Leader Travel database (Moyer et al., 2025). For indicators regarding diplomatic raptures, manual coding was required based on available data. For several indicators, additional weights were applied to differentiate varying intensities. 2025-11-17T00:00:00Z