Dataset for "Emergence of Interfacial Magnetism in Strongly-Correlated Nickelate‐Titanate Superlattices"
<p>This dataset is a collection of data that support the findings of the following publication:</p> <p>T. C. Asmara et al., <em>Adv. Mater.</em> 36, 2310668 (2024)</p> <p>DOI: <a href="https://doi.org/10.1002/adma.202310668">https://doi.org/10.1002/adma.202310668</a></p> <p>This dataset is persistently available in the following links:</p> <p>All versions: <a href="https://doi.org/10.5281/zenodo.12745079">https://doi.org/10.5281/zenodo.12745079</a></p> <p>Version 1 (only .pxp file): <a href="https://doi.org/10.5281/zenodo.12745080">https://doi.org/10.5281/zenodo.12745080</a></p> <p>If this data is re-used elsewhere, please correctly cite the related publication (T. C. Asmara <em>et al.</em>, <em>Adv. Mater.</em> 36, 2310668 (2024)) and include the DOI links to both the publication (<a href="https://doi.org/10.1002/adma.202310668">https://doi.org/10.1002/adma.202310668</a>) and the dataset repository (<a href="https://doi.org/10.5281/zenodo.12745079">https://doi.org/10.5281/zenodo.12745079</a>).</p> <h2>Description of the data and file structure</h2> <p>This dataset has been collected using the following experimental methods:</p> <ol> <li> <p>Resonant inelastic x-ray scattering (RIXS)</p> </li> <li> <p>X-ray absorption spectroscopy (XAS)</p> </li> <li> <p>Muon spin rotation (μSR)</p> </li> <li> <p>X-ray diffraction (XRD)</p> </li> <li> <p>X-ray reflectivity (XRR)</p> </li> <li> <p>Electron energy loss spectroscopy (EELS)</p> </li> <li> <p>Electrical transport</p> </li> </ol> <p>The data have only been minimally processed, mainly to present them as figures in the related scientific publication. The data has been collected in a .pxp file, which needs a software called <em>IGOR Pro</em> to open. Text-based files of the dataset will be available in the next version.</p> <h2>Code/Software</h2> <p>The dataset has also been analysed using variety of fitting analysis and theoretical calculations using the following software packages:</p> <ol> <li> <p><em>lmfit</em> package of Python</p> </li> <li> <p>ATHENA</p> </li> <li> <p>MUSRFIT</p> </li> <li> <p>TRIM.SP</p> </li> <li> <p>DIFFRAC.XRR</p> </li> </ol> <p>The fitting and calculation results are also included in the .pxp file.</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