10 datasets found
  1. UFO Sightings Around The World (Better)

    • kaggle.com
    Updated Oct 25, 2023
    + more versions
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    Jon Wright (2023). UFO Sightings Around The World (Better) [Dataset]. https://www.kaggle.com/datasets/jonwright13/ufo-sightings-around-the-world-better
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 25, 2023
    Dataset provided by
    Kaggle
    Authors
    Jon Wright
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    World
    Description

    Context Extraterrestrials, visitors, little green men, UFOs, swap gas. What do they want? Where do they come from? Do they like cheeseburgers? This dataset will likely not help you answer these questions. It does contain over 80,000 records of UFO sightings dating back as far as 1949. With the latitude and longitude data it is possible to assess the global distribution of UFO sightings (patterns could aid in planetary defence if invasion proves to be imminent). The dates and times, along with the duration of the UFO's stay and description of the craft also lend themselves to predictions. Can we find patterns in their arrival times and durations? Do aliens work on weekends? Help defend the planet and learn about your fellow earthlings (and when they are most likely to see ET).

    Content Date_time - standardized date and time of sighting date_documented - when was the UFO sighting reported Year - Year of sighting Month - Month of sighting Hour - Hour of sighting Season - Season of the sighting Country_Code - Country code for the country of the sighting Country - Country name Region - More granular address than country (Includes state, province, region, etc) Locale - More granular address than Region (Includes city, town, village, etc) latitude - latitude longitude - longitude UFO_shape - a one word description of the "spacecraft" length_of_encounter_seconds - standardized to seconds, length of the observation of the UFO Encounter_Duration - raw description of the length of the encounter (shows uncertainty to previous column) description - text description of the UFO encounter. Warning column is messy, with some curation it could lend itself to some natural language processing and sentiment analysis.

    Note there are still some missing data in the columns. I've left it as is because depending on what the user is interested in the missing values in any one column may or may not matter.

    Acknowledgements Original Data source: https://github.com/planetsig/ufo-reports Previous dataset: https://www.kaggle.com/datasets/camnugent/ufo-sightings-around-the-world Geo-locate script: https://github.com/jonwright13/geo-locate

  2. h

    nuforc-ufo-sightings

    • huggingface.co
    Updated Aug 31, 2025
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    latt slatt (2025). nuforc-ufo-sightings [Dataset]. https://huggingface.co/datasets/latterworks/nuforc-ufo-sightings
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    Dataset updated
    Aug 31, 2025
    Authors
    latt slatt
    Description

    latterworks/nuforc-ufo-sightings dataset hosted on Hugging Face and contributed by the HF Datasets community

  3. Mexico: UFO sighting claiming 2019

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Mexico: UFO sighting claiming 2019 [Dataset]. https://www.statista.com/statistics/1038352/mexico-ufo-witness/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 10, 2019 - Jun 20, 2019
    Area covered
    Mexico
    Description

    A vast majority of Mexican respondents said they had never seen a UFO. On a survey conducted in June of 2019, more than ** percent of the people surveyed in Mexico said they had never witnessed such an event, while almost **** percent affirmed to have seen a UFO.

  4. UFO Sighting Date Set

    • kaggle.com
    Updated Jul 19, 2020
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    Digital Moniker (2020). UFO Sighting Date Set [Dataset]. https://www.kaggle.com/darraghcaffrey/ufo-sighting-date-set/kernels
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 19, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Digital Moniker
    Description

    Dataset

    This dataset was created by Digital Moniker

    Contents

  5. o

    Quantitative Content Analysis on News Media Sensationalism and Belief...

    • openicpsr.org
    spss
    Updated Jun 26, 2025
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    Meg Linn; Emma Cottom; Delaney Ciborowski; Elise Robb (2025). Quantitative Content Analysis on News Media Sensationalism and Belief Formation Regarding UFOs [Dataset]. http://doi.org/10.3886/E234381V1
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    spssAvailable download formats
    Dataset updated
    Jun 26, 2025
    Authors
    Meg Linn; Emma Cottom; Delaney Ciborowski; Elise Robb
    License

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

    Description

    This quantitative content analysis examined news media sensationalism and belief formation regarding unidentified flying objects (UFOs). Although substantial financial resources are dedicated to their exploration, belief remains highly variable, possibly due to how media influences perceptions. Postings on X (k = 80) and their associated comments were coded by four trained researchers and analyzed on five variables: news source, evidence type, authority figure presence, sensationalism, and belief versus skepticism reflected in the comments. A sample of 80 posts on X regarding UFO sightings in the top five most popular news sources were evaluated on five distinct variables: news source, type of evidence, authority figure, media sensationalism, and belief versus skepticism. The number of posts evaluated from each news source was split evenly with 20% of posts from Sky News, 20% of posts from ABC News, 20% of posts from CNN, 20% of posts from Fox News, and 20% of posts from The Washington Post. For the type of evidence presented in each of the 80 posts, 28% had no media of the UFO, 0% had audio only, 45% had a still photograph only, 5% had a video without related audio, and 23% had a video with related audio. Within the sample, 71% had an authority figure present in the post, and 29% did not have an authority figure present. Sensationalism in each post was evaluated with an average score of 3.16 (SD = 1.24). Lastly, the average belief versus skepticism score calculated from the four associated comments on each post was evaluated, with an average across all posts of 4.13 (SD = 0.51).This study is the first to empirically compare sensationalism in news sources on X and examine tactics used to enhance belief. Limitations include reliance on a single social media platform and potential coder bias in assessing sensationalism.

  6. s

    Global UFO/UAP Sightings Database

    • suspectsky.app
    json
    Updated Aug 17, 2025
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    SuspectSky (2025). Global UFO/UAP Sightings Database [Dataset]. https://suspectsky.app/
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    jsonAvailable download formats
    Dataset updated
    Aug 17, 2025
    Dataset authored and provided by
    SuspectSky
    Time period covered
    Jan 1, 2024 - Present
    Area covered
    Tierra, Tierra
    Variables measured
    Geolocation, Media Evidence, Sighting Category
    Description

    Crowdsourced database of unidentified aerial phenomena sightings with media evidence

  7. Latin America: opinion on aliens visiting Earth 2023, by country

    • statista.com
    Updated Oct 10, 2024
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    Statista (2024). Latin America: opinion on aliens visiting Earth 2023, by country [Dataset]. https://www.statista.com/statistics/1092139/public-opinion-aliens-visiting-earth-latin-america/
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    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 21, 2022 - Nov 4, 2022
    Area covered
    Latin America, Earth, LAC
    Description

    According to a survey carried out by IPSOS between October and November of 2022, at least 26 percent of respondents in Colombia thought it was likely that beings from other planets would visit Earth in 2023. The most skeptical in the region about this happening were Argentinian respondents.

  8. e

    Tiedebarometri 2001 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Aug 9, 2018
    + more versions
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    (2018). Tiedebarometri 2001 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/197a1786-bee8-5784-a0bd-ae192fdeb1ef
    Explore at:
    Dataset updated
    Aug 9, 2018
    Description

    Aineistossa ovat tarkastelun kohteena erilaiset tieteellisen tiedon tuottamiseen, tasoon, tarpeellisuuteen ja tuotantoedellytyksiin liittyvät näkökohdat, tieteellis-teknisen kehityksen hyödyt ja riskit ja tieteen moraali. Aineistossa on esillä kansalaisten tiedettä koskevat käsitykset, mielipiteet, arviot, arvostukset, asenteet, tulevaisuudenodotukset ja osin tiedotkin. Vastaajilta kysyttiin, kuinka aktiivisesti he seuraavat eri tiedotusvälineistä erilaisia aihepiirejä koskevia uutisia, ohjelmia ja kirjoituksia. Erikseen kysyttiin kuinka kiinnostunut vastaaja on ympäristötutkimuksesta, lääketieteellisestä tutkimuksesta, avaruustutkimuksesta, historiantutkimuksesta ja koulutus- ja tiedepolitiikasta. Edelleen kysyttiin mitkä tietolähteet ovat vastaajalle tärkeimpiä tiedettä ja tutkimusta koskevan tiedon välittäjiä. Vastaajia pyydettiin myös nimeämään yksi nykyisin toimiva ja yksi aikaisemmin toiminut merkittävä suomalainen tieteenharjoittaja ja arvioimaan kuinka paljon hän luottaa erilaisiin yhteiskunnallisiin instituutioihin, kuinka hyvin erilaiset tieteeseen ja tutkimukseen liittyvät asiat ovat maassamme nykyisin ja millaisiksi hän näkee tieteen mahdollisuudet ratkaista erilaisia ongelmia tai tuoda parannusta ihmisten elämään. Lopuksi vastaajalle esitettiin useita väittämiä tieteestä ja tutkimuksesta. Väittämät käsittelivät erilaisia uskomuksia, tieteen tehokkuutta, tieteen ja uskonnon suhdetta, eläinkokeita, geeniteknologiaa, tekniikan kehitystä, tutkimusvarojen kohdentamista, tieteellisen tiedon käyttöä poliittisessa päätöksenteossa, ufo-havaintoja, ydinvoimaa ja tiedeyhteisön toiminnan vastuullisuutta. Taustamuuttujina ovat tiedot vastaajan sukupuolesta, ikäryhmästä, asuinkunnan koosta, asuinmaakunnasta, perus- ja ammattikoulutuksesta ja ammattiryhmästä. The survey monitored various aspects of the production, level, necessity and conditions of scientific information. It also canvassed the advantages and risks of techno-scientific progress as well as the ethics of science. The data reflects citizens' conceptions of science, and, to some extent, also their knowledge. Their opinions, assessments, values, attitudes, and future expectations were mapped. The respondents were asked how actively they follow the news, programmes and articles in the different media on various topics. It was separately asked how interested the respondents were in environmental research, medical research, space research, historical research, and education and science policy. It was also asked which sources of information the respondents considered primary in science and research related matters. The respondents were asked to name one present-day and one historically significant Finnish scientist. They also estimated how much they trusted various social institutions, what the status of various matters related to science and research was, and whether they thought science could solve different problems and improve people's lives. Finally, the respondents were presented with several statements concerning science and research. The statements dealt with beliefs, the efficiency of science, relation between science and religion, vivisection, gene technology, technical progress, allocation of research funds, use of scientific information in political decision-making, UFO sightings, nuclear power, and the responsibility of the scientific community. Background variables included respondent's sex, age group, size of the place of residence, county of residence, basic and vocational training, and occupational group.

  9. Finnish Science Barometer 2001

    • services.fsd.tuni.fi
    zip
    Updated Jan 9, 2025
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    Kiljunen, Pentti (2025). Finnish Science Barometer 2001 [Dataset]. http://doi.org/10.60686/t-fsd1181
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Finnish Social Science Data Archive
    Authors
    Kiljunen, Pentti
    Area covered
    Finland
    Description

    The survey monitored various aspects of the production, level, necessity and conditions of scientific information. It also canvassed the advantages and risks of techno-scientific progress as well as the ethics of science. The data reflects citizens' conceptions of science, and, to some extent, also their knowledge. Their opinions, assessments, values, attitudes, and future expectations were mapped. The respondents were asked how actively they follow the news, programmes and articles in the different media on various topics. It was separately asked how interested the respondents were in environmental research, medical research, space research, historical research, and education and science policy. It was also asked which sources of information the respondents considered primary in science and research related matters. The respondents were asked to name one present-day and one historically significant Finnish scientist. They also estimated how much they trusted various social institutions, what the status of various matters related to science and research was, and whether they thought science could solve different problems and improve people's lives. Finally, the respondents were presented with several statements concerning science and research. The statements dealt with beliefs, the efficiency of science, relation between science and religion, vivisection, gene technology, technical progress, allocation of research funds, use of scientific information in political decision-making, UFO sightings, nuclear power, and the responsibility of the scientific community. Background variables included respondent's sex, age group, size of the place of residence, county of residence, basic and vocational training, and occupational group.

  10. UFO Sichtungen weltweit bis 2025

    • de.statista.com
    Updated Jun 30, 2025
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    Statista (2025). UFO Sichtungen weltweit bis 2025 [Dataset]. https://de.statista.com/statistik/daten/studie/36793/umfrage/ufo-sichtungen-in-deutschland-im-jahr-2009/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Deutschland
    Description

    Bis zum 30. Juni 2025 wurden weltweit insgesamt über 138.055 UFOs (vermeintlich) gesichtet. Die Anzahl der Good UFO-Sichtungen belief sich auf 18 Fälle. Eine Good UFO Sichtung bezeichnet ein Objekt, das so viele anomale Merkmale aufweist, dass eine herkömmliche Erklärung sehr wahrscheinlich ausgeschlossen werden kann. Die häufigste Erklärung für eine UFO-Sichtung sind laut der Quelle Modell-Heißluftballons. Sind wir nicht allein im Universum? Das US-Militär richtete im Jahr 2020 eine Taskforce zur Untersuchung der Sichtungen von sogenannten "Unidentified Aerial Phenomenon" (UAP) ein. Ab dem Anfang des 20. Jahrhunderts bis zum Juli 2024 wurden in den USA (vermeintlich) rund 133.600 UFOs respektive unbekannte Flugobjekte gesichtet. Marsmissionen der internationalen Raumfahrt Seit vielen Jahren untersucht die weltweite Raumfahrt, ob es auf dem Mars Leben gab oder gibt. Am 18. Februar 2021 landete der US-Roboter Perseverance auf dem Mars. Er war im Juli 2020 vom Weltraumbahnhof Cape Canaveral aus gestartet und soll nun zwei Jahre lang untersuchen, ob es in einem ausgetrockneten See auf dem Mars Lebensformen gab. Die Vereinigten Staaten führten bisher die meisten Marsmissionen durch. Bis zum Jahr 2050 plant das US-amerikanische Unternehmen SpaceX 50.000 Menschen auf den Mars zu befördern. Damit soll die Existenz der Menschheit im Falle der Zerstörung der Erde gesichert werden.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Jon Wright (2023). UFO Sightings Around The World (Better) [Dataset]. https://www.kaggle.com/datasets/jonwright13/ufo-sightings-around-the-world-better
Organization logo

UFO Sightings Around The World (Better)

80,000+ documented close encounters from the past 70 years with better addresses

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 25, 2023
Dataset provided by
Kaggle
Authors
Jon Wright
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Area covered
World
Description

Context Extraterrestrials, visitors, little green men, UFOs, swap gas. What do they want? Where do they come from? Do they like cheeseburgers? This dataset will likely not help you answer these questions. It does contain over 80,000 records of UFO sightings dating back as far as 1949. With the latitude and longitude data it is possible to assess the global distribution of UFO sightings (patterns could aid in planetary defence if invasion proves to be imminent). The dates and times, along with the duration of the UFO's stay and description of the craft also lend themselves to predictions. Can we find patterns in their arrival times and durations? Do aliens work on weekends? Help defend the planet and learn about your fellow earthlings (and when they are most likely to see ET).

Content Date_time - standardized date and time of sighting date_documented - when was the UFO sighting reported Year - Year of sighting Month - Month of sighting Hour - Hour of sighting Season - Season of the sighting Country_Code - Country code for the country of the sighting Country - Country name Region - More granular address than country (Includes state, province, region, etc) Locale - More granular address than Region (Includes city, town, village, etc) latitude - latitude longitude - longitude UFO_shape - a one word description of the "spacecraft" length_of_encounter_seconds - standardized to seconds, length of the observation of the UFO Encounter_Duration - raw description of the length of the encounter (shows uncertainty to previous column) description - text description of the UFO encounter. Warning column is messy, with some curation it could lend itself to some natural language processing and sentiment analysis.

Note there are still some missing data in the columns. I've left it as is because depending on what the user is interested in the missing values in any one column may or may not matter.

Acknowledgements Original Data source: https://github.com/planetsig/ufo-reports Previous dataset: https://www.kaggle.com/datasets/camnugent/ufo-sightings-around-the-world Geo-locate script: https://github.com/jonwright13/geo-locate

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