Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell Computing and Information Science
  3. Computing and Information Science
  4. Computing and Information Science Research
  5. Data containing transaction history and visual traits of eight highly valued Non-fungible token (NFT) collections

Data containing transaction history and visual traits of eight highly valued Non-fungible token (NFT) collections

File(s)
MutantApeYachtClub_2022_03_31.csv (10.93 MB)
Meebits_2022_03_31.csv (8.74 MB)
DegenerateApeAcademy_2022_03_31.csv (1008.07 KB)
Cryptopunks_2022_03_31.csv (5.98 MB)
BoredApeYachtClub_2022_03_31.csv (9.22 MB)
  View More
Permanent Link(s)
https://doi.org/10.7298/6jcj-9461
https://hdl.handle.net/1813/111404
Collections
Computing and Information Science Research
Author
Serneels, Sven
Cho, Jason B.
Matteson, David S.
Abstract

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.

Sponsorship
The authors gratefully acknowledge financial support from the National Science Foundation Awards 1934985, 1940124, 1940276, and 2114143.
Date Issued
2022-08-12
Keywords
Non-fungible tokens
•
NFT
•
Financial transactions
•
wash trading
•
volatility
Rights
CC0 1.0 Universal
Rights URI
http://creativecommons.org/publicdomain/zero/1.0/
Type
dataset

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance