Published January 12, 2022 | Version v1
Dataset Open

Selective ligand removal to improve accessibility of active sites in hierarchical MOFs for heterogeneous photocatalysis

  • 1. ROR icon TU Wien
  • 1. ROR icon TU Wien
  • 2. Technische Universität Wien
  • 3. Technische Universität wien
  • 4. Technische universität Wien
  • 5. Normandie University, ENSICAEN, UNICAEN, CNRS, Laboratoire Catalyse et Spectrochimie
  • 6. ROR icon Technion – Israel Institute of Technology
  • 7. Technion - Israel Institute of Technology
  • 8. Universität Wien

Description

 

This dataset contains the source data associated with the publication:

“Selective ligand removal to improve accessibility of active sites in hierarchical MOFs for heterogeneous photocatalysis”

published in Nature Communications.

The dataset was generated during the synthesis, thermal treatment, characterization, and photocatalytic evaluation of titanium-based hierarchical metal–organic frameworks (MOFs) with selectively removed ligands and engineered defects.

The dataset includes raw and processed experimental data for:

  • Powder X-ray diffraction (XRD)
  • Simulated XRD patterns
  • Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS)
  • Thermogravimetric analysis (TGA)
  • In situ temperature- and time-dependent XRD measurements
  • In situ DRIFTS measurements
  • Density Functional Theory (DFT) calculations
  • Photocatalytic hydrogen evolution experiments
  • Mixed-ligand MOF characterization and performance analysis

The Excel workbook is organized into multiple sheets according to characterization technique and experimental condition. Sheet names indicate the corresponding experiment type and sample condition.

This dataset supports reproducibility of the published results and may be reused for studies related to:

  • Metal–organic frameworks (MOFs)
  • Defect engineering
  • Hierarchical porous materials
  • Photocatalysis
  • Hydrogen evolution reactions
  • Structure–property relationships in porous materials

Researchers reusing this dataset should cite the original publication.

Original article:
https://www.nature.com/articles/s41467-021-27775-7

Files

Files (5.9 MiB)

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Additional details

Related works

Is supplement to
Journal Article: 10.1038/s41467-021-27775-7 (DOI)

Dates

Available
2022-01-12