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Recovering true FRET efficiencies from smFRET investigations requires triplet state mitigation

<p>This includes</p> <p>1- the data set collected at 100mW = 0.04 kW/cm^2 for the Cy3-Cy5 dye pair that is reported in the paper in Figure 2c and SI Figure 14ab</p> <p>2- Matlab script to do the simplified zeta correction and a Mathematica notebook to show the derivation of simplified zeta correction</p> <p>3- the raw data corresponding to Figure 2c</p> <p>----<br>## Citations</p> <p>If you use any of these shared materials, please use the relevant citatations:</p> <p>&nbsp; ```<br>&nbsp; * Avik K. Pati^{*}, Zeliha Kilic^{*}, Maxwell I. Martin, Daniel S. Terry, Alessandro Borgia, Sukanta Bar,<br>&nbsp; &nbsp; Steffen Jockusch, Roman Kiselev, Roger B. Altman, Scott C. Blanchard,<br>&nbsp; &nbsp; Recovering true FRET efficiencies from smFRET investigations requires triplet state mitigation,2024,Nature Methods<br>&nbsp; ```</p> <p>----<br>## Relevant Publications</p> <p>In our smFRET data analysis, we used SPARTAN<br>* Single-molecule imaging of non-equilibrium molecular ensembles on the millisecond scale:<br>&nbsp; [paper](https://www.nature.com/articles/nmeth.3769)<br>&nbsp;&nbsp;</p>

ShareScore

20/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
0
Engagement
4

Dataset details

Repository
zenodo
Published
March 28, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.10894817

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