Dataset: In operando cryo-STEM of pulse-induced charge density wave switching in TaS2

https://doi.org/10.34863/wgf1-pw79
Authors: James L. Hart ORCID logo 1, Saif Siddique ORCID logo 1, Noah Schnitzer ORCID logo 1, Stephen D. Funni ORCID logo 1, Lena F. Kourkoutis ORCID logo 2,3, Judy J. Cha ORCID logo 1,4,*
Author affiliations:
1:Department of Materials Science and Engineering, Cornell University, United States
2:School of Applied and Engineering Physics, Cornell University, United States
3:Kavli Institute at Cornell for Nanoscale Science, Cornell University, United States
4:Cornell Center for Materials Research, Cornell University
*Corresponding author: jc476@cornell.edu

Here are the EMPAD time-resolved electron diffraction data (taken at 100 Hz) used to calculate the strain profiles shown in Fig. 2c of the main text. The .raw files are labeled based on the maximum voltage applied during the acquisition. We also include the Jupyter notebook ‘Strain processing.ipynb’ used to calculate the sample strain from the EMPAD data. Additionally, there are several supporting .py files needed to run the notebook. The file ‘MP_spot_pos_refine_bragg.py’ contains the center-of-mass refinement function which we use to get the position of each Bragg peak.

EMPAD Data
ItemTypeFile
100mVdataEMPAD Data/100mV.raw
200mVdataEMPAD Data/200mV.raw
300mVdataEMPAD Data/300mV.raw
400mVdataEMPAD Data/400mV.raw
500mVdataEMPAD Data/500mV.raw
600mVdataEMPAD Data/600mV.raw
700mVdataEMPAD Data/700mV.raw
800mVdataEMPAD Data/800mV.raw
Jupyter Notebook and supporting files
ItemTypeFile
MP lattice fitting python filedataJupyter Notebook and supporting files/MP_lattice_fitting.py
MP spot pos refine Bragg python filedataJupyter Notebook and supporting files/MP_spot_pos_refine_bragg.py
Strain processing Jupyter NotebookdataJupyter Notebook and supporting files/Strain processing.ipynb
Utilities python filedataJupyter Notebook and supporting files/utilities.py