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Dataset . 2021
License: CC BY
Data sources: Datacite
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Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Enhancement of unsteady frequency responses of electro-thermal resonance MEMS cantilever sensors (Data)

Research datakeyboard_double_arrow_right Dataset 23 Nov 2021Publisher:Zenodo
Authors: Setiono, Andi; Nyang'au, Wilson Ombati; Fahrbach, Michael; Xu, Jiushuai; Bertke, Maik; Wasisto, Hutomo Suryo; Peiner, Erwin;

doi: 10.5281/zenodo.5720402 , 10.5281/zenodo.5720401

Enhancement of unsteady frequency responses of electro-thermal resonance MEMS cantilever sensors (Data)

Abstract

Origin projects and figures used for the article "Enhancement of unsteady frequency responses of electro-thermal resonance MEMS cantilever sensors", published in the proceedings of the 30th Micromechanics and Microsystems Europe Workshop; 18.08.2019 to 20.08.2019; Wolfson College, Oxford, United Kingdom.

This project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program under no. 17IND05 MicroProbes.

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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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