Research Data Leeds Repository

Data for "Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore"

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

Dataset 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.

Keywords:	nanopipette, nanopore, finite-element modelling, nanofluidic diode, DNA, polyethylene-glycol, PEG
Subjects:	C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry H000 - Engineering > H600 - Electronic & electrical engineering
Divisions:	Faculty of Biological Sciences > Astbury Centre for Structural Molecular Biology Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Related resources:	Location Type https://doi.org/10.1021/acsnanoscienceau.2c00050 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	03 Jan 2023 14:32
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1054
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Marcuccio, Fabio https://orcid.org/0000-0003-4816-2896 University of Leeds https://ror.org/024mrxd33 ror Soulias, Dimitrios https://orcid.org/0000-0003-4700-6744 University of Leeds https://ror.org/024mrxd34 ror Chi Cheng Chau, Chalmers https://orcid.org/0000-0002-3134-6798 University of Leeds https://ror.org/024mrxd35 ror Radford, Sheena E. https://orcid.org/0000-0002-3079-8039 University of Leeds https://ror.org/024mrxd36 ror Hewitt, Eric W. https://orcid.org/0000-0002-6238-6303 University of Leeds https://ror.org/024mrxd37 ror Actis, Paolo https://orcid.org/0000-0002-7146-1854 University of Leeds https://ror.org/024mrxd38 ror Edwards, Martin A. https://orcid.org/0000-0001-8072-361X University of Arkansas https://ror.org/005k4dn45 ror Type of data: Dataset Research funders: Marie Skłodowska-Curie MSCA-ITN, University of Leeds, EPSRC, Royal Society Professorial Fellowship Grant numbers: 812398, EP/W004933/1, RSRP\R1\211057 Publication date: 2022 Resource language: English Publisher: University of Leeds Contact Email Address: p.actis@leeds.ac.uk Last Modified: 11 Jan 2023 08:30

Files

Documentation

Supporting_Information_2 - COMSOL report [1MB] Supporting_Information_2 - COMSOL report [1MB] Supporting_Information_2 - COMSOL report [1MB] Visible to: Anyone File name: Supporting_Information_2_COMSOL_Report.pdf Content type: Documentation Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

readme [3kB] readme [3kB] readme [3kB] Visible to: Anyone File name: README_Marcuccio_2022.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Data for Figure 1 [9MB] Data for Figure 1 [9MB] Data for Figure 1 [9MB] Visible to: Anyone File name: Figure_1.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 9MB

Data for Figure 4 [56MB] Data for Figure 4 [56MB] Data for Figure 4 [56MB] Visible to: Anyone File name: Figure_4.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 56MB

Data for SI Section 4 [888MB] Data for SI Section 4 [888MB] Data for SI Section 4 [888MB] Visible to: Anyone File name: Section_S4_SI1.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 888MB

Data for SI Section 7 [18MB] Data for SI Section 7 [18MB] Data for SI Section 7 [18MB] Visible to: Anyone File name: Section_S7_SI1.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 18MB