8 datasets found
  1. Russia Ukraine Conflict

    • kaggle.com
    zip
    Updated Aug 6, 2022
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    Hussain Shahbaz Khawaja (2022). Russia Ukraine Conflict [Dataset]. https://www.kaggle.com/datasets/hskhawaja/russia-ukraine-conflict
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    zip(421636 bytes)Available download formats
    Dataset updated
    Aug 6, 2022
    Authors
    Hussain Shahbaz Khawaja
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Ukraine, Russia
    Description

    Context

    On 24 February 2022, Russia invaded Ukraine in a major escalation of the Russo-Ukrainian War that began in 2014. The invasion caused Europe's largest refugee crisis since World War II, with more than 6.3 million Ukrainians fleeing the country and a third of the population displaced (Source: Wikipedia).

    Content

    This dataset is a collection of 407 news articles from NYT and Guardians related to ongoing conflict between Russia and Ukraine. The publishing date of articles ranges from Feb 1st, 2022 to Jul 31st, 2022.

    What you can do?

    Here are some ideas to explore:

    • Discourse analysis of Russia-Ukraine conflict (How the war has evolved over months?)
    • Identify most talked about issues (refugees, food, weapons, fuel, etc.)
    • Extract sentiment of articles for both Russia and Ukraine
    • Which world leaders have tried to become mediators?
    • Number of supporting countries for both Russia and Ukraine
    • Map how NATO alliance has been affected by the war

    I am looking forward to see your work and ideas and will keep adding more ideas to explore.

  2. d

    Geopolitical Orientations (European Union, Union with Russia, NATO):...

    • demo-b2find.dkrz.de
    Updated Sep 26, 2025
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    (2025). Geopolitical Orientations (European Union, Union with Russia, NATO): Monitoring of Public Opinion in Ukraine (2005-2022) - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/0edd893d-7fc6-54dc-a0cc-5771367c57a9
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    Dataset updated
    Sep 26, 2025
    Area covered
    Europe, European Union, Ukraine, Russia
    Description

    KIIS monitors the geopolitical preferences of the Ukrainian population by asking respondents about their readiness to act in a certain way (vote for, against, or not to participate in the vote) in a hypothetical situation, namely, if a referendum on Ukraine's accession to the European Union, NATO, the Union with Russia and Belarus, or the Customs Union (with Russia, Belarus, Kazakhstan) were held now. In addition to these questions, some polls also ask respondents which direction of foreign policy they consider more preferable, with the options "accession to the European Union", "accession to the Customs Union of Russia, Belarus, Kazakhstan, Kyrgyzstan" and "not joining either the European Union or the Customs Union". This wording of the question enables evaluating the broader attitudes of the population regarding the geopolitical direction without requiring a definitive choice (such as voting for or against a specific option). Each survey wave was carried out on a sample representative of Ukraine's adult population (aged 18 and older), with an average sample size of about 2,000 respondents. In order to facilitate the analysis, the data collected for the period 2005-2022 was combined into one data set, including 31 polls with a total of 62,911 respondents. The background information includes respondents' socio-demographic profiles (gender, age, education, nationality, occupation, self-assessment of financial situation) and place of residence (oblast, type of settlement). These data enable tracking Ukrainian public opinion on the desired course of the Ukraine's foreign policy for the period of 17 years, from 2005 to 2022, both among the population as a whole and among its different subpopulations.

  3. Ukraine Russia War Reddit Data

    • kaggle.com
    zip
    Updated Jul 25, 2022
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    Diya Acharya (2022). Ukraine Russia War Reddit Data [Dataset]. https://www.kaggle.com/datasets/diyacharya/ukraine-russia-war-reddit-data/data
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    zip(1480793 bytes)Available download formats
    Dataset updated
    Jul 25, 2022
    Authors
    Diya Acharya
    License

    https://www.reddit.com/wiki/apihttps://www.reddit.com/wiki/api

    Area covered
    Ukraine, Russia
    Description

    The data was extracted in order to conduct a sentiment analysis on the Ukraine-Russia war and understand public opinion on the conflict. The posts were searched based on the keywords like Ukraine, Russia and Nato. The idea behind selecting Reddit was the ease with which its users can extract data and the subreddits that provide rich content. To learn more about the PRAW API that was used to extract data, visit [https://praw.readthedocs.io/en/stable/].

    The data is not ready for sentiment analysis!!! So your first task would be to clean the data by removing punctuation, tags, URLs, symbols, processing emojis and emoticons, tokenizing, lemmatizing, removing stop words, and so on.

    Then, using sentiment analysis, you can predict the overall positive, negative, and neutral comments. You could come up with your own methods of analyzing data, such as categorizing comments as pro-Russian, neutral, or pro-Ukraine, and so on.

    For the further details on how I extracted the data you can refer to my colab notebook

  4. Zelenskyy and Putin Press Releases

    • kaggle.com
    zip
    Updated Aug 3, 2022
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    Pei Yi Zhuo (2022). Zelenskyy and Putin Press Releases [Dataset]. https://www.kaggle.com/peiyizhuo/zelenskyy-and-putin-press-releases
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    zip(2354354 bytes)Available download formats
    Dataset updated
    Aug 3, 2022
    Authors
    Pei Yi Zhuo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Russia launched its full-scale invasion of Ukraine on February 24, 2022, turning a simmering conflict that had marred the region since 2014 into the largest war on European soil since the defeat of Nazi Germany. (For more context, I recommend this New York Times article and this piece from the Council on Foreign Relations.) As the Ukrainian and Russian armed forces struggle against each other to gain the upper hand on the battlefield, the two governments are also prosecuting an information war for the hearts and minds of the world.

    For a glimpse of how this parallel war of words is being waged, I scraped the news sections of the English language websites of the President of Ukraine and the Kremlin. The 1796 pieces I scraped are dated from October 24, 2021, four months prior to the invasion, to June 24, 2022, four months after the invasion. I scraped the websites on August 2, 2022 using the R package rvest. My scraping scripts are available on GitHub.

    In an analysis along the lines of the one conducted by David Robinson on Donald Trump's tweets, I found that whereas Zelenskyy's press releases became more disgusted, sad, negative, angry, and fearful as well as more frequent after February 24, Putin's press releases changed by a far lesser extent. This analysis is available as a blog post.

    The content of the websites of the President of Ukraine and the Kremlin are licensed under a Creative Commons Attribution 4.0 International license. The photos of Putin and Zelenskyy in the header and thumbnail images are taken from their respective websites.

  5. Global Fire Power Ranking 2022

    • kaggle.com
    zip
    Updated Feb 27, 2022
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    Mickaël Andrieu (2022). Global Fire Power Ranking 2022 [Dataset]. https://www.kaggle.com/datasets/mickaelandrieu/global-fire-power-ranking-2022
    Explore at:
    zip(2429 bytes)Available download formats
    Dataset updated
    Feb 27, 2022
    Authors
    Mickaël Andrieu
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Context

    I've created this dataset as I want to compare the Russia and the NATO's armies.

    Content

    You will find a ranking with a Power Index calculated for every country by the "Global Fire Power" organization : this is not simple to make a fair comparison between Russia and the 27 countries of the NATO because we can't really summarize what "would be" the Power Index of an alliance.

    Acknowledgements

    Thanks for your support, if you use this dataset consider giving me credits or share with me your works !

  6. d

    How are you, Slovakia?, Extraordinary survey February/March 2022 - Dataset -...

    • demo-b2find.dkrz.de
    Updated Mar 15, 2022
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    (2022). How are you, Slovakia?, Extraordinary survey February/March 2022 - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/3de74146-d04a-5a9e-a7ed-83e3734f03a5
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    Dataset updated
    Mar 15, 2022
    Area covered
    Slovakia
    Description

    Special research wave of the research series "How are you, Slovakia?" was a reaction to the attack of the Russian Federation troops on Ukraine and was fielded between 25 February and 1 March 2022. The war in Ukraine began in the early hours of 24 February with the invasion of Russian troops into Ukraine. Since the beginning of the invasion, attacks on military and non-military targets and civilian casualties have been reported. Most of the Western world, as well as the European Union, has condemned the Russian aggression and imposed tough economic sanctions. Thousands of war refugees began to arrive in Slovakia from the territory of Ukraine. The survey monitors respondents' fears of war, willingness to help refugees, and preferred response to the attack on Ukraine. It also ascertains respondents' geopolitical orientation, views on responsibility for the war conflict, and attitudes toward NATO. The survey is the first special research wave within “How Are You, Slovakia?” and was conducted in parallel with the thirteenth regular research wave of the “How Are You, Slovakia?” survey series. How are you, Slovakia? Online interviews - CAWI Adult inhabitants of Slovakia (18+) with access to the internet The survey used a quota sample from the MNFORCE online panel. The sample was designed as representative for the following socio-demographic variables: gender, age, county (kraj), size of settlement and education of respondent. Only population with access to the internet is covered by the survey. This means that mostly older persons without internet access are missing from the sample.

  7. d

    Krisenmonitor (Woche 23/2023) Crisis Monitor (Week 23/2023) - Dataset -...

    • demo-b2find.dkrz.de
    Updated Sep 20, 2025
    + more versions
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    (2025). Krisenmonitor (Woche 23/2023) Crisis Monitor (Week 23/2023) - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/50e77bae-074f-5f7a-94b4-4d34809506f0
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    Dataset updated
    Sep 20, 2025
    Description

    Der Krisenmonitor wird vom Meinungsforschungsinstitut forsa im Auftrag des Presse- und Informationsamtes der Bundesregierung seit Kalenderwoche 1/2023 regelmäßig durchgeführt. Der Krisenmonitor ist die Fortsetzung der im Zeitraum von Kalenderwoche 13/2022 bis 50/2022 regelmäßig von forsa durchgeführten repräsentativen Bevölkerungsbefragungen Trendfragen Ukraine zum Thema Deutschland und der Ukraine-Krieg. Die einzelnen Fragengebiete wurden je nach Befragungszeitraum angepasst. Im Erhebungszeitraum 05.06.2023 bis 07.06.2023 wurde die deutschsprachige Wohnbevölkerung ab 14 Jahren in telefonischen Interviews (CATI) befragt. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsstichprobe. Stärke der persönlichen Belastung durch die aktuelle Situation rund um die derzeitigen Krisen in Deutschland; Stärke der persönlichen Belastung durch den Krieg in der Ukraine und die darüber wahrgenommenen Medieninhalte; größte Verantwortung für den Konflikt zwischen der Ukraine und Russland (Russland, Ukraine, USA, NATO, alle gleichermaßen); Meinung zum Streitmaß in wichtigen politischen Fragen (es wird zu viel, zu wenig oder gerade richtig gestritten); empfundene Entlastung des eigenen Haushalts durch die Entlastungsmaßnahmen der Bundesregierung (spürbar, kaum oder gar nicht entlastet; Split: deutlich, etwas, kaum oder gar nicht entlastet); Wichtigkeit weiterer Entlastungen des eigenen Haushalts durch den Staat. Demographie: Geschlecht; Alter (gruppiert); Erwerbstätigkeit; Bildung; Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl; allgemeine Einschätzung des Einkommens (niedrig, mittel, hoch). Zusätzlich verkodet wurde: Region; Bundesland; Gewichtungsfaktor. The Crisis Monitor has been conducted regularly by the opinion research institute forsa on behalf of the Press and Information Office of the German Federal Government since calendar week 1/2023. The Crisis Monitor is a continuation of the representative population surveys Trendquestions Ukraine on the topic of Germany and the Ukraine war conducted regularly by forsa in the period from calendar week 13/2022 to 50/2022. The individual question areas were adjusted depending on the survey period. In the survey period from 05.06.2023 to 07.06.2023, the German-speaking resident population aged 14 and older was surveyed in telephone interviews (CATI). Respondents were selected using a multistage random sample. Level of personal burden caused by the current situation surrounding the current crises in Germany; level of personal burden caused by the war in Ukraine and the media content perceived about it; greatest responsibility for the conflict between Ukraine and Russia (Russia, Ukraine, USA, NATO, all equally); opinion on the level of dispute on important political issues (there is too much, too little or just the right amount of dispute); perceived relief for one´s own household from the federal government´s relief measures (noticeably, hardly or not at all relieved; split: noticeably, somewhat, hardly or not at all relieved); importance of further relief of the own household by the government. Demography: sex; age (grouped); employment; education; party preference in the next federal election; voting behaviour in the last federal election; general assessment of income (low, medium, high). Additionally coded were: Region; federal state; weighting factor. Telephone interview: CATI Deutschsprachige Wohnbevölkerung ab 14 Jahren German-speaking resident population aged 14 and over

  8. d

    Einstellungen zu aktuellen Fragen der Außenpolitik und TTIP Attitudes...

    • demo-b2find.dkrz.de
    Updated Jul 1, 2016
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    (2016). Einstellungen zu aktuellen Fragen der Außenpolitik und TTIP Attitudes towards Current Questions of Foreign Policy and TTIP - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/5bda738f-b067-59de-844e-aeda2f472acd
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    Dataset updated
    Jul 1, 2016
    Description

    Einstellungen zu aktuellen Fragen der Außenpolitik und zum Freihandelsabkommen TTIP. 1. Außenpolitik: Werte und Interessen: Sorgen um die Zukunft Deutschlands und um die eigene Zukunft im Hinblick auf das Weltgeschehen; weltpolitische Entwicklungen, die die die größten Sorgen bereiten (Klimawandel, Wachstum der Weltbevölkerung, Kriege und Konflikte, Flüchtlinge, Probleme mit dem Euro wegen Griechenland, Streit in der EU, Terrorismus, Sammeln von persönlichen Daten durch große Internetunternehmen sowie Datenüberwachung durch verschiedene Staaten); Prioritäten der deutschen Außenpolitik (deutsche Interessenvertretung in internationalen Organisationen wie UNO und EU, Entwicklungshilfe für Länder der Dritten Welt, zivile und militärische Friedenssicherung der Bundeswehr gemeinsam mit den Partnern aus NATO und EU, weltweiter Einsatz für Menschenrechte, Förderung der wirtschaftlichen Zusammenarbeit und Demokratieförderung); Beurteilung der bilateralen Verhältnisse zwischen Deutschland und den USA, zwischen Deutschland und Russland bzw. Frankreich, der Türkei, Israel und Griechenland; Veränderung des Verhältnisses zu den vorgenannten Ländern; Meinung zu einer außenpolitisch engeren Zusammenarbeit mit den jeweiligen Ländern; geeignete Maßnahmen zur Bekämpfung der Fluchtursachen; Deutschlands Rolle in der Welt: Befürwortung der führenden Rolle Deutschlands in der europäischen Staats- und Schuldenkrise; Sicherheits- und Verteidigungspolitik: Befürwortung einer Beteiligung der Bundeswehr an internationalen Einsätzen; Meinung zu ausgewählten möglichen Auslandseinsätzen der Bundeswehr (Blauhelme bei einer UNO-Friedenstruppe, NATO-Einsätze in Krisengebieten, Hilfe für Flüchtlinge, Katastrophenfall im Ausland, schwere Menschenrechtsverletzungen, Kampf gegen Terrororganisationen, erhöhte Sicherheit in Deutschland); Meinung zu einem verstärkten Engagement der Bundeswehr in Afghanistan; Meinung zum Ukraine-Konflikt (bilaterale Angelegenheit zwischen der Ukraine und Russland, Aufnahme der Ukraine in die NATO zur Abschreckung Russlands, angemessene Bemühungen Deutschlands zur friedlichen Konfliktlösung). 2. Freihandelsabkommen TTIP: Bewertung des Freihandelsabkommens TTIP zwischen der EU und den USA; mehr Vorteile oder Nachteile durch ein Freihandelsabkommen für die deutsche Wirtschaft und die Verbraucher in Deutschland; erwartete größere Vorteile für die EU oder die USA durch TTIP. Demographie: Alter; Geschlecht; Schulbildung; Berufstätigkeit; berufliche Stellung; Familienstand; Konfession; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz (Sonntagsfrage Bundestagswahl). Zusätzlich verkodet wurde: Befragten-ID; Bundesland; Ortsgröße; Gewichtungsfaktor. Attitudes towards current questions of foreign policy and TTIP. Topics: 1. Foreign Policy: values and interests: worries about the future of Germany and about the personal future in terms of world affairs; geopolitical developments, which evoke the greatest concerns (climate change, global population growth, wars and conflicts, refugees, problems with the euro for Greece, dispute in the EU, terrorism, collecting personal data by large Internet companies, and the data monitoring by various States); priorities of German foreign policy (German representation in international organizations such as the UN and EU, development aid for Third World countries, civilian and military peacekeeping of the Bundeswehr together with the partners of NATO and EU, a global engagement to human rights, promotion of economic cooperation and of democracy); evaluation of the bilateral relations between Germany and the USA, Germany and Russia or France, Turkey, Israel and Greece; change of relations to the aforementioned countries; opinion on a foreign policy more closely with the respective countries; appropriate measures to combat the causes of escape; Germany´s role in the world: approval to the leading role of Germany in the European crisis; security and defense policy: approval of a Bundeswehr participation in international operations; opinion on selected potential Bundeswehr operations abroad (UN peacekeepers in a UN peacekeeping force, NATO missions in crisis areas, aid for refugees, disaster abroad, violation of human rights, the fight against terrorist organizations, increased security in Germany); opinion on a stronger engagement of the Bundeswehr in Afghanistan; opinion on the Ukraine conflict (bilateral issue between Ukraine and Russia, Ukraine´s accession to the NATO to discourage Russia, reasonable efforts of Germany for peaceful conflict resolution). 2. TTIP: assessment of the the free trade agreement TTIP between the EU and the US; more advantages or disadvantages of a free trade agreement for the German economy and consumers in Germany; expectation of greater benefits by TTIP for the EU or the US. Demography: age; sex; education; employment status; occupational status; marital status; confession; household income (grouped); party preference (sunday question). Additionally coded was: respondent-ID; federal state; size of community; weighting factor. Telefonisches Interview: CATI (Computerunterstützte telefonische Befragung) Telephone Interview: CATI (Computer Assisted Telephone Interview) Wohnbevölkerung ab 18 Jahren in Privathaushalten Population aged 18 years and over in private households

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Hussain Shahbaz Khawaja (2022). Russia Ukraine Conflict [Dataset]. https://www.kaggle.com/datasets/hskhawaja/russia-ukraine-conflict
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Russia Ukraine Conflict

News coverage on recent Russia-Ukraine conflict

Explore at:
zip(421636 bytes)Available download formats
Dataset updated
Aug 6, 2022
Authors
Hussain Shahbaz Khawaja
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Area covered
Ukraine, Russia
Description

Context

On 24 February 2022, Russia invaded Ukraine in a major escalation of the Russo-Ukrainian War that began in 2014. The invasion caused Europe's largest refugee crisis since World War II, with more than 6.3 million Ukrainians fleeing the country and a third of the population displaced (Source: Wikipedia).

Content

This dataset is a collection of 407 news articles from NYT and Guardians related to ongoing conflict between Russia and Ukraine. The publishing date of articles ranges from Feb 1st, 2022 to Jul 31st, 2022.

What you can do?

Here are some ideas to explore:

  • Discourse analysis of Russia-Ukraine conflict (How the war has evolved over months?)
  • Identify most talked about issues (refugees, food, weapons, fuel, etc.)
  • Extract sentiment of articles for both Russia and Ukraine
  • Which world leaders have tried to become mediators?
  • Number of supporting countries for both Russia and Ukraine
  • Map how NATO alliance has been affected by the war

I am looking forward to see your work and ideas and will keep adding more ideas to explore.

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