Illinois Data Bank

SBKS - Chemical Raw Entity Mentions

A set of chemical entity mentions derived from an NERC dataset analyzing 900 synthetic biology articles published by the ACS. This data is associated with the Synthetic Biology Knowledge System repository (https://web.synbioks.org/). The data in this dataset are raw mentions from the NERC data.

Social Sciences
synthetic biology; NERC data; chemical mentions
CC0
U.S. National Science Foundation (NSF)-Grant:1939929
Jacob Jett
357 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-4163883_V1 2022-07-25

1.78 MB View File

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RelatedMaterial update: {"link"=>["https://pubs.acs.org/doi/abs/10.1021/acssynbio.1c00611", "https://doi.org/10.1021/acssynbio.1c00611"], "uri"=>["", "10.1021/acssynbio.1c00611"], "uri_type"=>["", "DOI"], "citation"=>["Bridget T. McInnes, J. Stephen Downie, Yikai Hao, Jacob Jett, Kevin Keating, Gaurav Nakum, Sudhanshu Ranjan, Nicholas E. Rodriguez, Jiawei Tang, Du Xiang, Eric M. Young, and Mai H. Nguyen. \"Discovering Content through Text Mining for a Synthetic Biology Knowledge System.\" ACS Synthetic Biology 2022 11 (6), 2043-2054. DOI: 10.1021/acssynbio.1c00611 ", "Bridget T. McInnes, J. Stephen Downie, Yikai Hao, Jacob Jett, Kevin Keating, Gaurav Nakum, Sudhanshu Ranjan, Nicholas E. Rodriguez, Jiawei Tang, Du Xiang, Eric M. Young, and Mai H. Nguyen. \"Discovering Content through Text Mining for a Synthetic Biology Knowledge System.\" ACS Synthetic Biology 2022 11 (6), 2043-2054. DOI: 10.1021/acssynbio.1c00611"], "datacite_list"=>["", "IsSupplementTo"], "note"=>[nil, ""]} 2024-07-19T16:15:24Z
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