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Dataset for the study of “Model Lipid Membranes Assembled from Natural Plant Thylakoids into 2D Microarray Patterns as a Platform to Assess the Organization and Photophysics of Light‐Harvesting Proteins”

Citation

Meredith, Sophie A. and Yoneda, Takuro and Hancock, Ashley M. and Connell, Simon D. and Evans, Stephen D. and Morigaki, Kenichi and Adams, Peter G. (2021) Dataset for the study of “Model Lipid Membranes Assembled from Natural Plant Thylakoids into 2D Microarray Patterns as a Platform to Assess the Organization and Photophysics of Light‐Harvesting Proteins”. University of Leeds. [Dataset] https://doi.org/10.5518/884

Dataset description

This dataset shows the raw data, analysed data and documentation related to figures and tables from the study "Model Lipid Membranes Assembled from Natural Plant Thylakoids into 2D Microarray Patterns as a Platform to Assess the Organization and Photophysics of Light‐Harvesting Proteins". This includes: absorbance and fluorescence spectra; images from Fluorescence Lifetime Imaging Microscopy (FLIM); images from Atomic Force Microscopy measurements; epifluorescence measurements; analysis of fluorescence data (FLIM); other graphical analyses; tabulated numerical data.

Subjects: C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry
C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C750 - Plant biochemistry
C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C760 - Biomolecular science
C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C770 - Biophysical science
Divisions: Faculty of Biological Sciences > School of Biology
Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:
LocationType
https://doi.org/10.1002/smll.202006608Publication
https://eprints.whiterose.ac.uk/172993/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 23 Mar 2021 17:42
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/824

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