Dataset for Revealing Carbon Capture Chemistry with 17-Oxygen NMR Spectroscopy
View / Open Files
Authors
Berge, Astrid
Pugh, Suzi
Short, Marion
Kaur, Chanjot
Lu, Ziheng
Lee, Jung-Hoon
Pickard, Chris
Sayari, Abdelhamid
Publication Date
2022-12-12Type
Dataset
Metadata
Show full item recordCitation
Berge, A., Pugh, S., Short, M., Kaur, C., Lu, Z., Lee, J., Pickard, C., et al. (2022). Dataset for Revealing Carbon Capture Chemistry with 17-Oxygen NMR Spectroscopy [Dataset]. https://doi.org/10.17863/CAM.83965
Description
This .zip file contains:
- source data for Figure 2 (.xlxs format). This is a table of the calculated 17-oxygen NMR parameters for a range of different MOF structures. The data is the same as that presented in Table 2.
– NMR spectroscopy data (.dx format). Raw solid state NMR spectroscopy data is provided. The raw data is for all of the solid-state NMR work presented in this study. Solution-state NMR spectra of acid-digested MOFs are also provided.
– X-ray diffraction data (.csv format). Raw powder X-ray diffraction data for the studied MOFs is provided.
– Computationally-derived structure files (.cif and .xyz). Geometry-optimised computational structures are provided for amine-functionalised MOFs (.cif format) and amine-functionalised silicas (.xyz format).
See the main manuscript for more details.
Format
.xlxs files should be opened using a spreadsheet program such as OpenOffice Calc, or Microsoft Excel.
.csv files can be edited in text editors, e.g. Notepad, and textEdit. Alternatively spreadsheet programs, e.g. Excel can be used.
.cif can be opened with VESTA software.
.xyz can be opened with Avogadro software.
.dx data can be opened with e.g. Topspin software.
Keywords
Carbon capture, Metal-organic framework, NMR spectroscopy
Relationships
Related Item: https://doi.org/10.26434/chemrxiv-2021-09vcw-v3
Publication Reference: https://www.repository.cam.ac.uk/handle/1810/344170
Sponsorship
MRC (MR/T043024/1)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.83965
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.