This dataset has been compiled to facilitate an analysis of reincarnation isekai anime, particularly scrutinizing its controversial and problematic themes as perceived by English-speaking audiences. It aimed to establish a data-based foundation for exploring the diverse motifs and thematic trends prevalent in this burgeoning anime sub-genre, with a special emphasis on audience reception and preferences.The dataset integrates user-generated information extracted from a online anime database, 'AniDB' (https://anidb.net/), with an initial selection phase involving another popular database, 'My Anime List'. It encompasses data on 45 reincarnation isekai anime titles, representing 28 unique narratives or universes, thus providing a comprehensive view of the reincarnation isekai anime available up until June 16, 2023 (when the data was colledcted). Exclusions in this dataset included original net animations (ONAs) and titles that are either still airing or yet to be aired to ensure the completeness and coherence of the dataset.The core components of the dataset include:1. Anime Titles: A list of 45 anime titles derived from the initial compilation of 68 titles, which were refined based on airing status and availability of user-generated data. These titles represent 28 unique overarching narratives or universes.2. User-generated Tags: An extensive array of data constituting 2393 instances of anime tags (451 unique) and 4155 instances of character tags (759 unique). This data, crowdsourced and categorized into broader themes by AniDB, serves as a pivotal tool for a nuanced thematic analysis, encompassing user-generated codes, themes, and properties pertinent to the genre.3. User Ratings: Data encompassing the average user rating and the number of votes cast for each title, assisting in understanding the audience reception and popularity of specific themes or tropes.

This dataset encompasses the top 1,000 advertisements collected from the "adPorn" subreddit over the period from April 2, 2011, to August 1, 2022. After a manual cleaning process, the dataset was refined to 866 images. These images were analysed using Google Cloud Vision and GPT-4 Turbo, providing a rich set of data on each advertisement. The dataset includes links to the original images hosted on Reddit, alongside the analytical data produced by Google Cloud Vision and GPT-4 Turbo. Additionally, the images were thematically clustered and this clustering information is also included in the dataset.

The 2017 election was held on September 23. While the incumbent National Party gained the largest number of seats, it was short of a majority in Parliament. The final vote count was released on October 7. On October 19, New Zealand First Party leader Winston Peters annouced his party would form a coalition government with Labour, with the Green Party guaranteeing confidence and supply, and with three ministers outside Cabinet. Funding provided by Victoria University of Wellington, the New Zealand Electoral Commission, the University of Auckland, the University of Otago, the British Academy, and AUT University.

Data on tribal affiliations of directors and firm-specific factors in Kenya