Dataset
Data for Electrostatic doping of 2D semiconductors using charged dielectric thin films
- Documentation:
- The files in this deposit contain the data used to generate and support the results, tables and figures reported in the associated publication. The research data were created during the experimental, computational and analytical work undertaken for the study as detailed in the main manuscript. Where necessary, the original data were processed, converted and organised into tabulated or structured data files to facilitate reuse, verification and visualisation. Tabulated source data for the figures presented in the publication are included wherever applicable. The deposited files may include Microsoft Excel workbooks, comma-separated value files, MATLAB `.mat` files, NumPy data files, Origin project or worksheet files, and other standard tabulated or structured data formats. Data are generally stored as tables, arrays, structures or data frames, with column headings, variable names, units and relevant metadata included where available. Excel and CSV files can be opened using standard spreadsheet or data-analysis software. MATLAB `.mat` files may be opened using MATLAB or compatible software capable of reading MATLAB data formats. NumPy files may be opened using Python with NumPy or other compatible scientific-computing software. Origin files may require Origin or OriginPro, although equivalent tabulated data are provided where possible to support access using other software. The data may be replotted, analysed or visualised using any suitable spreadsheet, programming, scientific-computing or graphing software that supports the relevant file format. No bespoke software is required unless specifically stated in the accompanying file-level documentation.
Actions
Access Document
- Files:
-
-
(Not applicable (or unknown), sheet, 591.4KB, Terms of use)
-
Authors/Creators
+ Leverhulme Trust
More from this funder
- Funder identifier:
- https://ror.org/012mzw131
- Grant:
- PLP-2022-154
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/V038605/1
- Publisher:
- University of Oxford
- Publication date:
- 2026
- Language:
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English
- Pubs id:
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2446994
- Local pid:
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pubs:2446994
- Deposit date:
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2026-07-28
- ARK identifier:
Terms of use
- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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