A FAIR and AI-ready Higgs boson decay dataset

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, step-by-step...

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Detalles Bibliográficos
Autores principales: Chen, Yifan, Huerta, E. A., Duarte, Javier, Harris, Philip, Katz, Daniel S., Neubauer, Mark S., Diaz, Daniel, Mokhtar, Farouk, Kansal, Raghav, Park, Sang Eon, Kindratenko, Volodymyr V., Zhao, Zhizhen, Rusack, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844008/
https://www.ncbi.nlm.nih.gov/pubmed/35165298
http://dx.doi.org/10.1038/s41597-021-01109-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844008/
https://www.ncbi.nlm.nih.gov/pubmed/35165298
http://dx.doi.org/10.1038/s41597-021-01109-0

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