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