Research Data Leeds Repository

Citation

Marcuccio, Fabio and Soulias, Dimitrios and Chau, Chalmers C. 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 https://eprints.whiterose.ac.uk/195151/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	03 Jan 2023 14:32
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1054
Additional details Additional details Creators or authors: 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/024mrxd33 ror Chau, Chalmers C. https://orcid.org/0000-0002-3134-6798 University of Leeds https://ror.org/024mrxd33 ror Radford, Sheena E. https://orcid.org/0000-0002-3079-8039 University of Leeds https://ror.org/024mrxd33 ror Hewitt, Eric W. https://orcid.org/0000-0002-6238-6303 University of Leeds https://ror.org/024mrxd33 ror Actis, Paolo https://orcid.org/0000-0002-7146-1854 University of Leeds https://ror.org/024mrxd33 ror Edwards, Martin A. https://orcid.org/0000-0001-8072-361X University of Arkansas https://ror.org/05jbt9m15 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 Metadata language: English Publisher: University of Leeds Contact email: p.actis@leeds.ac.uk Last Modified: 02 Sep 2024 12:19

Files

Documentation

Supporting_Information_2 - COMSOL report [1MB] Supporting_Information_2 - COMSOL report [1MB] Supporting_Information_2 - COMSOL report [1MB] Security: 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] Security: 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] Security: 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] Security: 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] Security: 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] Security: 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