1. ABOUT THE DATASET
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Title:	Data for "Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore"

Creator(s): Fabio Marcuccio [1], Dimitrios Soulias [1], Chalmers C.C. Chau [1], Sheena E. Radford [1], Eric Hewitt [1], Paolo Actis [1], Martin Andrew Edwards [2]

Organisation(s): 1, University of Leeds; 2, University of Arkansas

Rights-holder(s): Fabio Marcuccio, Dimitrios Soulias, Chalmers C.C. Chau, Sheena E. Radford, Eric Hewitt, Paolo Actis, Martin Andrew Edwards


Publication Year: 2022

Description: The data set contains all relevant ionic current traces and voltammetric data recorded using pClamp system for the associated paper entitled: 'Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore'. The data is in the native pClamp format of abf files. Analysis routine can be performed with script that relies on abf files. The data set is aim to allow users to re-analysis the data and to reproduce the observations made in the associated publication.

Cite as: 
Fabio Marcuccio, Dimitrios Soulias, Chalmers C.C. Chau, Sheena E. Radford, Eric W. Hewitt, Paolo Actis, Martin A. Edwards (2022): Data for "Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore". [Dataset]. https://doi.org/10.5518/1274

Related publication: 
Fabio Marcuccio, Dimitrios Soulias, Chalmers C.C. Chau, Sheena E. Radford, Eric W. Hewitt, Paolo Actis, Martin A. Edwards (2022), Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore (Accepted pending proof)

Contact: p.actis@leeds.ac.uk , maedw@uark.edu 


2. TERMS OF USE
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You may download to a local hard disk extracts for your personal, non-commercial and for results reproducibility use only. 2022. Fabio Marcuccio, Dimitrios Soulias, Chalmers C.C. Chau, Sheena E. Radford, Eric Hewitt, Paolo Actis, Martin Andrew Edwards. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.]


3. FUNDING INFORMATION
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Funding organisation:
Engineering and Physical Science Research Council (EPSRC) UK,
Marie Skłodowska-Curie MSCA-ITN. single entity nanoelectrochemistry, SENTINEL project, 
Medical Research Council UK,
Royal Society Professorial Fellowship,
University of Leeds

Grant no.:
Marie Skłodowska-Curie MSCA-ITN - 812398
Royal Society Professorial Fellowship - RSRP\R1\211057
Engineering and Physical Science Research Council UK (EPSRC) - EP/W004933/1



4. CONTENTS
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File listing

All files in this data set are in .abf format, this format can be accessed by pClamp software (any version), originlab software (any version), matlab or python with the pyABF package.

Below for the list of files:
Figure_1.zip
Figure_4.zip
Section_S4_SI1.zip
Section_S7_SI1.zip
Supporting_Information_2 - COMSOL Report.pdf

5. METHODS
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For full method, please refer to the associated publication.