Surface-Governed Photoredox Reactivity of CsPbBr3 Quantum Dots

This repository contains the numerical source data and selected raw files associated with the figures in the following publication:
Sahin, Y. et al. “Surface-Governed Photoredox Reactivity of CsPbBr3 Quantum Dots” Nano Letters 2026, 26, 9, 3107-3116. DOI: 10.1021/acs.nanolett.5c06027
The dataset includes CSV files containing plotted numerical data, microscopy images and MestReNova (.mnova) files associated with NMR data.

File formats
CSV: Comma-separated numerical source data. Depending on the instrument or export software, some files may use a non-UTF-8 character encoding and may contain special symbols such as µ.
JPG: Electron microscopy images. The scale bar is embedded in each image.
MNOVA: MestReNova project files containing processed NMR spectra. These files can be opened using compatible versions of MestReNova.

Figure 1: Quantum-dot characterization, photoluminescence quantum yields, and representative microscopy images.
Figure 2: Photocatalytic yields, reaction kinetics, and Stern–Volmer analysis.
Figure 3: Photocatalytic yields and original MestReNova files.
Figure 4: Catalyst comparison and additional computational data.
Figure 5: Time-dependent optical spectra. 
Figures S1–S24: Supplementary figures for additional characterization, photophysical, photocatalytic, spectroscopic, and computational data.

Data Details
Wavelength is generally reported in nm.
Time is generally reported in min, unless otherwise specified in the individual file.
Photoluminescence lifetime is reported in s in the exported CSV file.
Reaction yields are reported as NMR yield (%).
Photoluminescence quantum yields are reported as percentage (%).
Quencher concentration is reported in the units specified in the relevant CSV header and publication figure.
Sample codes such as 125, 250, 375, 500, and 1000 refer to the ligand amounts used during quantum dot preparation, as described in the article and its Supporting Information.

Software
The CSV files can be opened using spreadsheet software or imported into common data analysis environments such as Python, R, MATLAB, or Origin. The .mnova files require MestReNova or compatible NMR-processing software.

Funding and Acknowledgements
This publication was created as part of NCCR Catalysis (Grant 225147) and a National Centre of Competence in Research funded by the Swiss National Science Foundation.