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tnrinstrument

Repository for code related to the Total Reactive Nitrogen (tNr) Instrument built by the VandenBoer research group

https://github.com/data-lao/tnrinstrument

Science Score: 31.0%

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    CITATION.cff file
    Found CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary

Keywords

atmospheric-chemistry indoor-air-quality instrumentation-and-control reactive-nitrogen
Last synced: 11 months ago · JSON representation ·

Repository

Repository for code related to the Total Reactive Nitrogen (tNr) Instrument built by the VandenBoer research group

Basic Info
  • Host: GitHub
  • Owner: data-lao
  • License: mit
  • Language: LabVIEW
  • Default Branch: main
  • Homepage:
  • Size: 4.25 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
atmospheric-chemistry indoor-air-quality instrumentation-and-control reactive-nitrogen
Created about 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

tNrInstrument

entire setup

The total reactive nitrogen (tNr) instrument was developed by the VandenBoer research group at York University, Toronto and funded by the Sloan foundation.
This instrument is designed to measure the total gas-phase reactive nitrogen (tNr) budget, defined as all N-containing species execpt N2 and N2O. The instrument can also determine contributions from NOx, HONO, and NH3, which are key drivers of indoor air quality. The tNr instrument has a small footprint, safe (no dangerous chemicals required), insulated oven, quiet and automated operation making it suitable for measurements in both occupied and unoccupied indoor spaces. The tNr instrument can be set up to measure without any operator input for several days and so can be used continuously in occupied indoor areas. Thus, it is ideal for surveying the indoor air quality contributions of a broad range Nr species across different environments, such as domestic residences, offices, and public buildings, without the need for multiple instruments targeting individual Nr species.

A custom SCADA system written in LabVIEW (National Instruments) was used to control the instrument via this LabJack VI.

A custom R-script is provided to speed up the data processing and finalization for visualizations and interpretation (sample data provided in tNr sample data.zip file).

For full details and optimal operating conditions, please see our published instrument description paper (https://doi.org/10.1039/D2EM00446A).

If you use this software, please review the citation file: https://github.com/data-lao/tNrInstrument/blob/main/citation

Owner

  • Name: Melodie Lao
  • Login: data-lao
  • Kind: user
  • Location: Toronto, Canada
  • Company: Telus Digital

an individual who enjoys jumping down rabbit holes, interests: data science, indoor air quality, environmental data, and renewable energy

Citation (citation) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Lao"
  given-names: "Melodie"
- family-names: "Crilley"
  given-names: "Leigh"
  orcid: "https://orcid.org/0000-0003-2268-9956"
title: "tNr instrument software"
version: 1.0
doi: 10.5281/zenodo.1234
date-released: 2022-09
url: "https://github.com/data-lao/tNrInstrument"

GitHub Events

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Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 51
  • Total Committers: 3
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.157
Past Year
  • Commits: 33
  • Committers: 3
  • Avg Commits per committer: 11.0
  • Development Distribution Score (DDS): 0.121
Top Committers
Name Email Commits
Melodie Lao 8****o 43
Melodie Lao l****e@g****m 5
lcrill 1****l 3

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Last synced: over 2 years ago

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  • Total issues: 0
  • Total pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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  • data-lao (4)
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