GC-EI-MS datasets of trimethylsilyl (TMS) and <i>tert</i>-butyl dimethyl silyl (TBDMS) derivatives for development of machine learning-based compound identification approaches.

Ljoncheva, Milka; Stevanoska, Sintija; Kosjek, Tina; Dzeroski, Saso

GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethyl silyl (TBDMS) derivatives for development of machine learning-based compound identification approaches.

Ljoncheva, Milka; Stevanoska, Sintija; Kosjek, Tina; Dzeroski, Saso.

Afiliación

Ljoncheva M; Jozef Stefan Institute, Department of Environmental Sciences, Jamova 39, Ljubljana 1000, Slovenia.
Stevanoska S; Jozef Stefan International Postgraduate School, Jamova 39, Ljubljana 1000, Slovenia.
Kosjek T; Jozef Stefan Institute, Department of Knowledge Technologies, Jamova 39, Ljubljana 1000, Slovenia.
Dzeroski S; Jozef Stefan International Postgraduate School, Jamova 39, Ljubljana 1000, Slovenia.

Data Brief ; 48: 109138, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37128582

Palabras clave

Derivative; GC-MS; Identification; Machine learning; Mass spectrometry; Silylation

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Data Brief Año: 2023 Tipo del documento: Article País de afiliación: Eslovenia

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