A FAIR and AI-ready Higgs boson decay dataset
Abstract To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models. This article provides a domain-agnostic, ste...
Main Authors: | Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-02-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-021-01109-0 |
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