Published April 10, 2024 | Version v3
Dataset Open

Dataset for: Visualization of oxygen vacancies and self-doped ligand holes in La3Ni2O7-δ

Creators

  • 1. ROR icon Tsinghua University
  • 2. ROR icon Chinese Academy of Sciences

Description

This repository contains representative four-dimensional scanning transmission electron microscopy (4D-STEM) datasets supporting the findings in the related paper, Visualization of oxygen vacancies and self-doped ligand holes in La3Ni2O7-δ. (Nature 630, 847–852 (2024)).

Region01 is one of the datasets from the regions with δ~0.04. Region02 is one of the datasets from the regions with δ~0.17. Region03 is one of the datasets from the regions with δ~0.34. 

Files

information.txt

Files (2.0 GB)

Name Size Download all
md5:fdd2a23b8e792e7e09d81b9e81b6f775
914 Bytes Preview Download
md5:cfdc799425de6313085408c59e8b5673
656.4 MB Download
md5:f17a259463a6d434120af23a81caa5a4
656.4 MB Download
md5:904502415ff44cb502b2fb1c1339e21d
656.4 MB Download

Additional details

References