Computing and Information Science Research

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    Data containing transaction history and visual traits of eight highly valued Non-fungible token (NFT) collections
    Serneels, Sven; Cho, Jason B.; Matteson, David S. (2022-08-12)
    These data contain transaction history between the project launch and March 31, 2022, as well as visual traits at the token level of eight highly valued Non-fungible token (NFT) collections: Aurory, Autoglphs, Bored Ape Kennel Club, Bored Ape Yacht Club, Cryptopunks, Degenerate Ape Academy, Meebits and Mutant Ape Yacht Club. Non-fungible tokens have recently emerged as a novel blockchain hosted financial asset class that has attracted major transaction volumes. Investment decisions rely on data and adequate preprocessing and application of analytics to them. Both owing to the non-fungible nature of the tokens and to a blockchain being the primary data source, NFT transaction data pose several challenges not commonly encountered in traditional financial data. The article named "Non-fungible token transactions: data and challenges" written by Jason B. Cho, Sven Serneels, and David S. Matteson uses these data to broadly explore such challenges which include price differentiation by token traits, the possible existence of lateral swaps, and wash trades in the transaction history, and finally, severe volatility.