1. ABOUT THE DATASET -------------------- Title: Dataset for Utility of lipids for the stabilization of nano-clusters of CuInS2/ZnS quantum dots Creator(s): Joel T. Whipp (1), Ashley M. Hancock (1), Zabeada Aslam (2), Kevin Critchley (1), Peter G. Adams (1) Organisation(s): (1): School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, United Kingdom (2): Leeds Electron Microscopy and Spectroscopy Centre, School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK Rights-holder(s): Unless otherwise stated, Copyright 2026 University of Leeds Publication Year: 2026 Description: This dataset shows the raw data, analysed data and documentation related to figures and tables from the study "Analysis of lipid-assisted self-assembly of hydrophobic CuInS2/ZnS quantum dots into water-stable nanoclusters that perform intra-cluster energy transfer". This includes: absorbance spectra, fluorescence excitation and emission spectra, and decay curves, analysis of fitting of fluorescence spectroscopy data, electron microscopy images and fluorescence microscopy images. Cite as: Joel T. Whipp; Ashley M. Hancock; Zabeada Aslam; Kevin Critchley; Peter G. Adams (2025): Dataset for Utility of lipids for the stabilization of nano-clusters of CuInS2/ZnS quantum dots. [Dataset]. https://doi.org/10.5518/1725 Related publication: https://doi.org/10.1039/d6nr00297h Contact: email - p.g.adams@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2026 The authors. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/ 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Multiple projects funded the work which went into this dataset and related published manuscript. Dates: 2020-2025 Funding organisation: several Acknowledgements and grant numbers: J.T.W. was supported by a studentship from the Engineering and Physical Sciences Research Council (EPSRC, UK) (2131269). A.M.H. and P.G.A. were supported by a grant from EPSRC (EP/T013958/1). K.C. was supported by a grant from the EPSRC (EP/T013753/1). The PicoQuant FLIM instrument at Leeds was acquired with funding from the Biotechnology and Biological Sciences Research Council (BB/R000174/1). The authors gratefully acknowledge LEMAS (Leeds Electron Microscopy and Spectroscopy Centre) for their support and assistance in this work. 4. CONTENTS ----------- File listing: How to access files: To access the raw spectroscopy data stored as .opju files use the software Origin Pro 2019 (or higher version). To access the analysis .xlsx files use the Microsoft Excel. To access the epifluorescence images (.png), exported FLIM images (.bmp) and exported TEM/STEM images (.png) use any standard photo viewer. To access the raw electron microscopy data (.dm4 and .emd) use specialist EM software, such as Gatan Digital Micrograph. 5. METHODS ---------- - Detailed information about methods is available in the published article.