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Dataset . 2022
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ZENODO
Dataset . 2022
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Data sources: Datacite
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ZENODO
Dataset . 2022
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IEEE DataPort™
Dataset . 2022
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The Data Related to Interfacial Shift Keying Allows a High Information Rate in Molecular Communication

Authors: Federico Calì; Giovanni Li-Destri; Nunzio Tuccitto;

The Data Related to Interfacial Shift Keying Allows a High Information Rate in Molecular Communication

Abstract

This dataset is related to a method for molecular communication in fluids described on "Fluorescent nanoparticles for reliable communication among implantable medical devices," Carbon, vol. 190, pp. 262-275, Apr. 2022, by Federico Calì, Luca Fichera, Giuseppe Trusso Sfrazzetto, Giuseppe Nicotra, Gianfranco Sfuncia, Elena Bruno, Luca Lanzanò, Ignazio Barbagallo, Giovanni Li-Destri, Nunzio Tuccitto; doi: 10.1016/J.CARBON.2022.01.016. The dataset is linked to the manuscript entitled "Interfacial Shift Keying Allows a High Information Rate in Molecular Communication: Methods and Data" by F. Calì, G. Li-Destri, and N. Tuccitto submitted to IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMC). The data, including elapsed time (s), starting from the injection and fluorescence intensity (a.u.), is given in tab-separated values format as .txt files. When present, a column includes the intensity subtracted for the baseline and the subtracted and normalized intensity. In all cases, the baseline was obtained by performing a linear fit between 10 and 110 s and subtracting the line obtained from the entire dataset.

{"references": ["Cal\u00ec, F., Fichera, L., Sfrazzetto, G. T., Nicotra, G., Sfuncia, G., Bruno, E., ... & Tuccitto, N. (2022). Fluorescent nanoparticles for reliable communication among implantable medical devices. Carbon, 190, 262-275."]}

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Keywords

Molecular Communication, nanoparticles, fluorescence, medical devices, viscosity.

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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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