Hierarchically Micro- and Mesoporous Zeolitic Imidazolate Frameworks Through Selective Ligand Removal

Context and Methodology 

This dataset contains the underlying experimental data supporting the results reported in the research article published in DOI: 10.1002/smll.202307981. 

The data provided here covers the structural characterization, thermal stability, and adsorption performance of the reported materials. For detailed discussions on the synthesis protocols, experimental conditions, and comprehensive interpretation of these results, please refer to the original publication and its Supplementary Information.

Technical Details 

1. Dataset Structure and Naming Convention: 

Unlike datasets organized by manuscript figure numbers, this dataset is organized by characterization technique. Each file corresponds to a specific analytical method and contains data for multiple samples.

• File Format: All data is provided in .xlsx format for broad accessibility.
• Sample Identification: Inside each .xlsx file, specific datasets are clearly labeled with the corresponding Sample Names/Numbers as used in the manuscript.

2. Description of Files: The dataset consists of the following files:

• XRD.xlsx: Powder X-ray Diffraction (PXRD) patterns used to analyze crystal structures.
• IR.xlsx: Infrared Spectroscopy (IR) data showing functional group analysis.
• NMR.xlsx: Nuclear Magnetic Resonance spectra data.
• TGA.xlsx: Thermogravimetric Analysis data illustrating thermal stability and decomposition profiles.
• Physisorption.xlsx: Nitrogen adsorption-desorption isotherms (pore size distribution data).
• Methylene blue.xlsx: Performance data representing the adsorption capacity of the samples towards Methylene Blue (MB).

3. Software Requirements:

No proprietary instrument software is required to view this data. Any spreadsheet software (e.g., Microsoft Excel, LibreOffice Calc) can be used to open and process the .xlsx files.

Further Details Users are kindly requested to cite the original article when reusing any part of this dataset.