Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)

Name: Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)
Creator: Stevens, Nathanial
Keywords: Mass Spectrometry

Stevens, Nathanial

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ZENODO

Dataset . 2025

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2025

License: CC BY

Data sources: Datacite

Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)

Research datakeyboard_double_arrow_right Dataset 10 Feb 2025Publisher:Zenodo

Authors: Stevens, Nathanial;

doi: 10.5281/zenodo.14846221 , 10.5281/zenodo.14846220

Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)

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Abstract

Includes raw and processed data for mass spectrometry imaging data collected in positive and negative ionization modes using a Bruker timeTOF fleX hybrid trapped ion mobility time-of-flight mass spectrometer equipped with a MALDI source.

Related Organizations

University of North Carolina System
United States

Keywords

Mass Spectrometry

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