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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.&nbsp;</p> <p>Full-sized versions of datasets are available on a University of Warwick Electron Microscopy dataserver:&nbsp;<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

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