Electrical and noise responses of carbon nanotube networks enhanced by UV light for nitrogen dioxide sensing - Open Research Data - Bridge of Knowledge

Search

Electrical and noise responses of carbon nanotube networks enhanced by UV light for nitrogen dioxide sensing

Description

Networks consisting of randomly oriented carbon nanotubes (CNN) were investigated toward nitrogen dioxide detection by means of electrical and low-frequency noise measurements. UV-activation of CNN layers improved gas sensitivity and reduced the limit of detection, especially by employing 275 nm-LED. This data set includes DC resistance measurements and low-frequency noise spectra collected for CNN sensor reacting to target gas (nitrogen dioxide) under selected lighting conditions at room temperature.

Dataset file

Electrical_and_noise_data.zip
2.9 MB, S3 ETag 6daba8a3190588409605dc3700c34304-1, downloads: 16
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file Electrical_and_noise_data.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Software:
Origin/Origin Viewer

Details

Year of publication:
2023
Verification date:
2023-02-21
Dataset language:
English
Fields of science:
  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
DOI:
DOI ID 10.34808/6a99-3828 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

seen 47 times