Data of a triboelectric energy harvester in low frequency environment and its potential as a power source in a wireless sensor node.

Marios Kaminiotis, Julien Le Scornec, Romain Noël, Vincent Le Cam, Bastien Chapuis

Abstract read

In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Data of a triboelectric energy harvester in low frequency environment and its potential as a power source in a wireless sensor node.Data in brief · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marios KaminiotisI4S, COSYS-SII, Inria, Université Gustave Eiffel, F-44344 Bouguenais, France.

Julien Le ScornecI4S, COSYS-SII, Inria, Université Gustave Eiffel, F-44344 Bouguenais, France.

Romain NoëlI4S, COSYS-SII, Inria, Université Gustave Eiffel, F-44344 Bouguenais, France.

Vincent Le CamI4S, COSYS-SII, Inria, Université Gustave Eiffel, F-44344 Bouguenais, France.

Bastien ChapuisUniversité Paris-Saclay, CEA, LIST, F-91120, Palaiseau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current article highlights the potential usage of a triboelectric nanogenerator (TENG) as a power source in a wireless sensor node in the field of Structural Health Monitoring (SHM). The voltage response of the TENG across different resistors and capacitors is used to characterize the power output of the vibration energy harvester and it estimates the energy that the TENG can provide to a circuitry. The provided data were collected using a custom-made LEGO platform, which was set to operate in low frequency sinusoidal motion, simulating a low frequency vibration environment of a bridge cable. This paper aims to encourage the usage of such effective energy harvesters in SHM by showcasing their potential in powering up a wireless sensor node directly, or act as a complementary energy source to a battery.

Indexed as

Energy conversionLow frequency vibrationsStructural health monitoringVibration energy harvesting

Identifiers

PMID41883572

DOI10.1016/j.dib.2026.112670

PMCPMC13011225

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.