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

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

Thakur, Mukeshchand  
•
Cai, Nianduo  
•
Zhang, Miao  
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2023
Zenodo

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.

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Type
dataset
DOI
10.5281/zenodo.7785321
ACOUA ID

913d7bcd-d466-45ed-b1c0-07bdd00d49ac

Author(s)
Thakur, Mukeshchand  
Cai, Nianduo  
Zhang, Miao  
Teng, Yunfei  
Chernev, Andrey  
Tripathi, Mukesh Kumar  
Zhao, Yanfei  
Macha, Michal Daniel  
Elharoui, Farida
Lihter, Martina  
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Date Issued

2023

Publisher

Zenodo

EPFL units
LANES  
RelationRelated workURL/DOI

IsSupplementTo

https://infoscience.epfl.ch/record/301512

IsNewVersionOf

https://doi.org/10.5281/zenodo.7785320
Available on Infoscience
May 3, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/197255
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