Tipo de documento: info:eu-repo/semantics/other
DOI: 10.5281/zenodo.7941230
Publicaciones relacionadas: Oller-Moreno, S., Mallafré-Muro, C., Fernandez, L., Caballero, E., Blanco, A., Gumà, J., Marco, S., & Pardo, A. (2023). GCIMS: An R package for untargeted gas chromatography – Ion mobility spectrometry data processing. Chemometrics and Intelligent Laboratory Systems, 241, 104938. https://doi.org/10.1016/j.chemolab.2023.104938
Grupo de investigación: Grup de recerca en Oncologia
Departamento: Medicina i Cirurgia
Autor: Gumà, Josep
Fecha alta repositorio: 2023-05-16
Año de publicación de la dataset: 2023
Materia: Medicina
Identificador del investigador: 0000-0001-7541-9832
DOI de la publicación relacionada: 10.1016/j.chemolab.2023.104938
Idioma: en
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Derechos de acceso: info:eu-repo/semantics/openAccess
Resumen: The dataset includes the set of urine samples in .mea format, which can be read using the GCIMS R package. It also contains analytical standards in the same format, used for quality control of the equipment and as a retention time alignment reference. If you want to preview the data, you do not need to download the full Urines.zip and AnalyticalStandards.zip files, but rather use the smaller UrinesDemo.zip and AnalyticalStandardsDemo.zip, with a subset of just three samples of the whole dataset. Besides the actual measurements, you will find the annotations.csv and reference_peaks.csv files, with sample annotations and some reference peaks identified in the samples.
Repositori URV