Research Data Leeds Repository

Dataset for Next-Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles

Actis, Paolo and Confederat, Samuel and Seugheon, Lee and Der, Vang and Dimitrios, Soulias and Fabio, Marcuccio and Timotheus, Peace and Martin, Edwards and Pietro, Strobbia and Devleena, Samanta and Christoph, Walti (2023) Dataset for Next-Generation Nanopore Sensors Based on Conductive Pulse Sensing for Enhanced Detection of Nanoparticles. University of Leeds. [Dataset] https://doi.org/10.5518/1335

Dataset description

The data set contains all ion current traces recorded using pClamp system for the associated paper. The data is in the native pClamp format of 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:	nanopore
Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	09 Aug 2023 10:47
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1144
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 Actis, Paolo https://orcid.org/0000-0002-7146-1854 University of Leeds https://ror.org/024mrxd33 Confederat, Samuel https://orcid.org/0000-0001-6004-5233 University of Leeds https://ror.org/024mrxd33 Seugheon, Lee https://orcid.org/0000-0001-9631-4853 University of Texas https://ror.org/04d5vba33 Der, Vang https://orcid.org/0000-0002-2884-805X University of Cincinnati https://ror.org/01e3m7079 Dimitrios, Soulias https://orcid.org/0000-0003-4700-6744 University of Leeds https://ror.org/024mrxd33 Fabio, Marcuccio https://orcid.org/0000-0003-4816-2896 University of Leeds https://ror.org/024mrxd33 Timotheus, Peace University of Leeds https://ror.org/024mrxd33 Martin, Edwards https://orcid.org/0000-0001-8072-361X University of Arkansas https://ror.org/05jbt9m15 Pietro, Strobbia https://orcid.org/0000-0003-0884-6185 University of Cincinnati https://ror.org/01e3m7079 Devleena, Samanta https://orcid.org/0000-0002-0647-7673 University of Texas https://ror.org/04d5vba33 Christoph, Walti https://orcid.org/0000-0001-9286-5359 University of Leeds https://ror.org/024mrxd33 Type of data: Dataset Research funders: EPSRC, MRC, European Commision, European Research Council Grant numbers: EP/W004933/1, MR/N029976/1, 821398, 788968 Publication date: 2023 Resource language: English Publisher: University of Leeds Contact Email Address: p.actis@leeds.ac.uk Last Modified: 09 Aug 2023 22:35

Files

Documentation

Information about the dataset [786B] Information about the dataset [786B] Information about the dataset [786B] Visible to: Anyone File name: Readme_Confederat_2023.txt Content type: Documentation Description: documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 786B

Data

Ion current data [1GB] Ion current data [1GB] Ion current data [1GB] Visible to: Anyone File name: Ion_current_data.zip Content type: Data Description: data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB