Dataset to accompany Nature Communications article "Strain-stabilized superconductivity" (article DOI: 10.1038/s41467-020-20252-7). Data include inputs and outputs for bulk and strained sample computations of band structure, DOS, EPW, nscf, phonon, energy relaxation, and Wannier.
Image and JSON labeled polygon training and test sets for deep-learning models. GoodMelts, fastBottom, and fastTop archives contain dataset for each of the named instance classes described in the associated paper (DOI pending). 10x_crossVal archive contains the training data split into the 10 k-fold, cross validation sets used in the study. TestSet are a reserved set of labeled images used for model evaluation, but not used in training. Item
Dataset: Mixed-state electron ptychography enables sub-angstrom resolution imaging with picometer precision at low doseZhen Chen, Michal Odstrcil, Yi Jiang, Yimo Han, Ming-Hui Chiu, Lain-Jong Li & David Muller
Dataset includes raw data (matlab mat format, filename: rawdata_1x_crop.mat), expected reconstruction of raw data (png format, filename: pty_crop_phase.png), and analysis codes used. Utilizes the ptychography reconstruction toolkit, PtychoShelves developed at Paul Scherrer Institut, Switzerland [https://www.psi.ch/en/sls/csaxs].
Raw input data (Matlab mat format, sample_data_mos2.dat)