Publication

Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing

Name: Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing
Published: 2023

Aleksandra Radenovic, Andras Kis, Martina Lihter, Michal Daniel Macha, Mukesh Kumar Tripathi, Yanfei Zhao, Andrey Chernev, Mukeshchand Thakur, Miao Zhang, Yunfei Teng, Nianduo Cai
2023
Datasets

Abstract

Information regarding the Dataset, corresponding to the paper: “Thakur, M., Cai, N., Zhang, M. et al. High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing. npj 2D Mater Appl 7, 11 (2023). https://doi.org/10.1038/s41699-023-00373-5” This folder contains the raw data and complete package of codes used to analyze, view, save, and plot data for the publication titled "High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing". The code folder, "OpenNanopore-nanopore-tools", can be used to plot raw data which corresponds to the figures in the paper and supplementary information.

Official source

https://infoscience.epfl.ch/entities/publication/50901a9b-3006-466c-b661-806ae106471c

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Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing

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