Field
Value
Language
dc.contributor.author
Wadhwa, Deekshant
datacite.creator.affiliationIdentifier
https://ror.org/03c4mmv16
en_US
datacite.creator.affiliation
University of Ottawa
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-4293-734X
en_US
dc.contributor.author
Mensing, Philipp
datacite.creator.affiliationIdentifier
https://ror.org/03c4mmv16
en_US
datacite.creator.affiliation
University of Ottawa
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-6590-1975
en_US
dc.contributor.author
Tabard-Cossa, Vincent
datacite.creator.affiliationIdentifier
https://ror.org/03c4mmv16
en_US
datacite.creator.affiliation
University of Ottawa
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-4375-717X
en_US
dc.contributor.author
Briggs, Kyle
datacite.creator.affiliationIdentifier
https://ror.org/03c4mmv16
en_US
datacite.creator.affiliation
University of Ottawa
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-0183-6585
en_US
dc.date.accessioned
2025-02-14T15:01:14Z
dc.date.available
2025-02-24
dc.date.issued
2025-02-24
dc.identifier.uri
https://doi.org/10.20383/103.01212
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/de60635e-23bb-43dc-97a0-3e972dd6958c
dc.description
This dataset contains experimental and synthetic nanopore signal data to support signal processing research, including event classification and sub-level fitting. The experimental dataset consists of real nanopore recordings obtained using a Chimera VC100 instrument at a sampling rate of 4.167 MHz. This instrument captured the translocation of DNA nanostructures with distinguishable levels of blockage and encoded structural variations in the molecules. The data were recorded in 3.6 M LiCl at 150 mV bias using a 14.2 nm solid state nanopore in a 10 nm thick SiN membrane and low pass filtered at 250 kHz using an 8 pole low pass Bessel filter. The synthetic data set was generated using Python's NumPy and SciPy libraries. We generated a piecewise constant signal and distorted it using a response function for nanopore measurements. We then added zero-mean white noise and sampled the data at 5Mhz and low-pass filtered to 1Mhz using a 4-pole zero-phase low-pass Bessel filter. This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Ontario Centre of Innovation (OCI) and Oxford Nanopore Technologies.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
nanopore
en_US
dc.subject
digital signal processing
en_US
dc.subject
data analysis
en_US
dc.subject
machine learning
en_US
dc.subject
decision trees
en_US
dc.title
Synthetic and experimental nanopore signals for sublevel event detection and denoising using decision trees.
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_1207/
datacite.publicationYear
2025
datacite.contributor.DataCollector
Philipp Mensing
datacite.contributor.DataManager
Deekshant Wadhwa
datacite.contributor.ProjectManager
Kyle Briggs
datacite.contributor.Supervisor
Vincent Tabard-Cossa
datacite.resourceType
Dataset
en_US
datacite.relatedIdentifier.IsCitedBy
https://doi.org/10.26434/chemrxiv-2024-7mnqb
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Natural Sciences and Engineering Research Council of Canada (NSERC)
en_US
datacite.fundingReference.awardNumber
ALLRP/ 586371-2023
en_US
datacite.fundingReference.awardTitle
en_US
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
The Ontario Centre of Innovation (OCI)
en_US
datacite.fundingReference.awardNumber
35449
en_US
datacite.fundingReference.awardTitle
en_US
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Oxford Nanopore Technologies
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
en_US
frdr.crdc.code
RDF2110102
en_US
frdr.crdc.group_en
Nano-technology
en_US
frdr.crdc.class_en
Nano-technology
en_US
frdr.crdc.field_en
Nanobiotechnology
en_US
frdr.crdc.group_fr
Nanotechnologies
fr_CA
frdr.crdc.class_fr
Nanotechnologies
fr_CA
frdr.crdc.field_fr
Nanobiotechnologies
fr_CA
datacite.description.other
Item exited embargo and became publicly available on 2025-03-31
