Research Data Leeds Repository

Citation

Agyemang, Eugene G. and Confederat, Samuel and Mohanan, Gayathri and Azimzadeh Sani, Mahnaz and Chau, Chalmers C. and Charnock, Dylan and Wälti, Christoph and Tschulik, Kristina and Edwards, Martin A. and Actis, Paolo (2024) Data for Multimodal nanoparticle analysis enabled by a polymer electrolyte nanopore combined with nanoimpact electrochemistry. University of Leeds. [Dataset] https://doi.org/10.5518/1599

Dataset description

Data for the article: "Multimodal nanoparticle analysis enabled by a polymer electrolyte nanopore combined with nanoimpact electrochemistry." This repository contains relevant data for numerical simulation.

Keywords:	Nanoimpact; Nanopore; Single molecule; Nanotechnology
Subjects:	H000 - Engineering > H600 - Electronic & electrical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Related resources:	Location Type https://doi.org/10.1039/D4FD00143E Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	03 Jan 2025 19:00
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1361
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 Agyemang, Eugene G. https://orcid.org/0009-0005-7886-7370 University of Arkansas https://ror.org/05vvhh982 ror Confederat, Samuel https://orcid.org/0000-0001-6004-5233 University of Leeds https://ror.org/024mrxd33 ror Mohanan, Gayathri https://orcid.org/0000-0002-9355-0452 University of Leeds https://ror.org/024mrxd33 ror Azimzadeh Sani, Mahnaz https://orcid.org/0000-0002-3214-4346 Ruhr-Universität Bochum https://ror.org/04tsk2644 ror Chau, Chalmers C. https://orcid.org/0000-0002-3134-6798 University of Leeds https://ror.org/024mrxd33 ror Charnock, Dylan https://orcid.org/0009-0000-9130-0559 University of Leeds https://ror.org/024mrxd33 ror Wälti, Christoph https://orcid.org/0000-0001-9286-5359 University of Leeds https://ror.org/024mrxd33 ror Tschulik, Kristina https://orcid.org/0000-0001-7637-4082 Ruhr-Universität Bochum https://ror.org/04tsk2644 ror Edwards, Martin A. https://orcid.org/0000-0001-8072-361X University of Arkansas https://ror.org/05vvhh982 ror Actis, Paolo https://orcid.org/0000-0002-7146-1854 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EU H2020, ERC, EPSRC, MRC, NSF Grant numbers: Marie Skłodowska-Curie MSCA-ITN project SENTINEL no. 812398, project DYNAMIN no. 788968, EP/W004933/1, MR/No. 029976/1, #0722625, #0959124, #0963249, #0918970 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: P.Actis@leeds.ac.uk Last Modified: 06 Jan 2025 08:47

Files

Documentation

Readme [2kB] Readme [2kB] Readme [2kB] Security: Anyone File name: readme_Agyemang_2024.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

IV curves [128MB] IV curves [128MB] IV curves [128MB] Security: Anyone File name: IV_curves.zip Content type: Data Description: IV curves of the nanopore Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 128MB

COMSOL model report [3MB] COMSOL model report [3MB] COMSOL model report [3MB] Security: Anyone File name: COMSOL_MODEL_REPORT.zip Content type: Data Description: COMSOL model report and relevant information Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB