96x96 Electron Microscopy Images
<p>Three datasets available as numpy (.npy) files that can be opened in Python with np.load().</p> <p>There are 3 variants:</p> <ol> <li>Crops from full STEM images.</li> <li>STEM images area downsampled with MATLAB and default antialiasing.</li> <li>TEM images area downsampled with MATLAB and default antialiasing.</li> </ol> <p>Images were saved to University of Warwick dataservers by dozens of scientists working on hundreds of projects. </p> <p>Full-sized versions of datasets are available on a University of Warwick Electron Microscopy dataserver: <a href="https://warwick.ac.uk/fac/sci/physics/research/condensedmatt/microscopy/research/machinelearning/">https://warwick.ac.uk/fac/sci/physics/research/condensedmatt/microscopy/research/machinelearning/</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 8