Projects per year
Description
The Underpinning_Data folder includes three sub-folders: Raw Data, Processed Data, Scripts and a PDF file that describes the content of the respective Folders. The subfolders are further divided sorting the data to the corresponding Figures in the publication.
The Raw Data folder includes EPR data in Bruker instrument format (BES3T) in pairs of two files with identical names and .DSC (descriptor) and .DTA (data) extensions. DSC files are in ascii format and can be opened with any text editor. DTA files are binary and can be opened with proprietary Bruker Xenon and Xepr software programs. Additionally, chromatograms in ascii format and PAGE gels as .tif or .png files are included.
The Processed Data folder includes processed EPR data in DSC DTA and .DAT format. DAT files can be opened in any text editor. Further processed EPR data files are provided in .mat, .pdf, .csv format. The .mat files can be imported into Matlab. Also processed images in .png format are included.
The Scripts folder contains .ipnyb files that can be opened in jupyter a python application and .m files that can be accessed with Matlab.
The Raw Data folder includes EPR data in Bruker instrument format (BES3T) in pairs of two files with identical names and .DSC (descriptor) and .DTA (data) extensions. DSC files are in ascii format and can be opened with any text editor. DTA files are binary and can be opened with proprietary Bruker Xenon and Xepr software programs. Additionally, chromatograms in ascii format and PAGE gels as .tif or .png files are included.
The Processed Data folder includes processed EPR data in DSC DTA and .DAT format. DAT files can be opened in any text editor. Further processed EPR data files are provided in .mat, .pdf, .csv format. The .mat files can be imported into Matlab. Also processed images in .png format are included.
The Scripts folder contains .ipnyb files that can be opened in jupyter a python application and .m files that can be accessed with Matlab.
| Date made available | 8 Jun 2026 |
|---|---|
| Publisher | University of St Andrews |
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Supramolecular structure predictions: Supramolecular Structure Predictions Validated from Sparse Experimental Data
Bode, B. (PI)
1/11/22 → 31/10/25
Project: Standard
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Supermolecular structure predictions: Supermolecular structure predictions validated from sparse experimental data
White, M. (PI)
1/11/22 → 31/10/25
Project: Standard
Research output
- 1 Article
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Binding affinity determines the success of endogenous CuII-NTA spin labeling for in-cell electron paramagnetic resonance distance measurements
Limbach, Y., Ackermann, K., Schiemann, O. & Bode, B. E., 5 Jun 2026, (E-pub ahead of print) In: The Journal of Physical Chemistry Letters. ASAP, 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile