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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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MGGA and pMGGA sensor characterisation data

Research datakeyboard_double_arrow_right Dataset 11 Mar 2020 English Publisher:Zenodo
Authors: Shah, Adil; Pitt, Joseph R;

doi: 10.5281/zenodo.3706383 , 10.5281/zenodo.3706382

MGGA and pMGGA sensor characterisation data

Abstract

This dataset contains processed MATLAB files of sampling used to calibrate and characterise the ABB Micro-portable Greenhouse Gas Analyzer (MGGA) and a prototype MGGA (pMGGA). Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.

Adil Shah's PhD studentship is funded by the Natural Environment Research Council (NERC), grant reference NE/L002469/1, and is supported through a CASE partnership with the Environment Agency.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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