Data set for multi-dimensional machine learning of polyaniline films using stitched hyperspectral data
dataset
posted on 2023-06-08, 06:13 authored by Sarah BamfordSarah Bamford, Dilek Yalcin, Wil GardnerWil Gardner, David WinklerDavid Winkler, Benjamin Muir, Shaun Howard, Thomas M. Kohl, Eric A. Bruton, Paul PigramPaul Pigram<p>ToF-SIMS hyperspectral imaging data, presented as an unfolded array. Nine individual ToF-SIMS images stiched together from either positive or negative ion mode. Each row represents a sample treatment and the colums are sample replicates. </p>
Funding
Office of Intelligence - National Intelligence and Security Discovery Research Grant (NI210100127)
History
Related Materials
- 1. DOI - Is supplement to Multi-dimensional machine learning of polyaniline films using stitched hyperspectral data.
School
- School of Computing, Engineering and Mathematical Sciences
Usage metrics
Categories
- Inorganic chemistry not elsewhere classified
- Polymerisation mechanisms
- Macromolecular and materials chemistry not elsewhere classified
- Other physical sciences not elsewhere classified
- Functional materials
- Physical properties of materials
- Inorganic materials (incl. nanomaterials)
- Macromolecular materials
- Structure and dynamics of materials
Keywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC