La Trobe

Data set for article: Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models

dataset
posted on 2023-09-22, 02:27 authored by Wil GardnerWil Gardner

This data set is uploaded as supporting information for the publication entitled:

Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models

Files are as follows:

polymer_microarray_data.mat - MATLAB workspace file containing peak-picked ToF-SIMS data (hyperspectral array) for the polymer microarray sample.

nylon_data.mat - MATLAB workspace file containing m/z binned ToF-SIMS data (hyperspectral array) for the semi-synthetic nylon data set, generated from 7 nylon samples.

Additional details about the datasets can be found in the published article.

If you use this data set in your work, please cite our work as follows:

Cite as: Gardner et al.. J. Vac. Sci. Technol. A 41, 000000 (2023); doi: 10.1116/6.0002788

Funding

This work was supported by an Office of National Intelligence - National Intelligence and Security Discovery Research Grant (NI210100127) funded by the Australian Government.

This work was performed in part at the Australian National Fabrication Facility (ANFF), a company established under the National Collaborative Research Infrastructure Strategy, through the La Trobe University Centre for Materials and Surface Science.

History

School

  • School of Computing, Engineering and Mathematical Sciences

Publication Date

2023-09-22

Rights Statement

© The authors 2023. This dataset is open access distributed under the terms and conditions of the Creative Commons Attribution-ShareAlike license: https://creativecommons.org/licenses/by-nc-sa/4.0/