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  4. Data for "Millimeter-Scale Lagrangian Sensor Spheres for Local State Monitoring in SMART Reactors: Towards Energy-Autonomous Operation"

Data for "Millimeter-Scale Lagrangian Sensor Spheres for Local State Monitoring in SMART Reactors: Towards Energy-Autonomous Operation"

Citation Link: https://doi.org/10.15480/882.16934
Type
Software
Technical Documentation
Experimental Data
Version
V1.0
Date Issued
2026-07-09
Author(s)
Geläschus, Anton Ulrich
Mikrosystemtechnik E-7
Rennpferdt, Lukas
Mikrosystemtechnik E-7
Rathi, Vamika
Mathematik E-10
Hussain, Muhammad Daniyal
Mikrosystemtechnik E-7
Ruprecht, Daniel
Mathematik E-10
Trieu, Hoc Khiem
Mikrosystemtechnik E-7
Contact
Ruprecht, Daniel
Mathematik E-10
Language
English
TORE-DOI
10.15480/882.16934
TORE-URI
https://hdl.handle.net/11420/62472
Is Supplement To
10.1021/acs.iecr.6c01504
Has Part
10.5281/zenodo.21066484
Abstract
This dataset contains the underlying measurement data and Python-based analysis scripts supporting the publication “Millimeter-Scale Lagrangian Sensor Spheres for Local State Monitoring in SMART Reactors: Towards Energy-Autonomous Operation”. It includes raw and intermediate data for selected quantitative evaluations, such as power consumption, transmission behavior, energy harvesting, and trajectory-related analysis. The dataset is intended to support traceability and practical reuse of the reported evaluation workflows. Manuscript text and final publication graphics are not the primary subject of this dataset release and should be consulted in the associated journal publication.
Subjects
Smart Reactors
Lagrangian sensor spheres
energy harvesting
trajectory estimation
measurement data
power consumption
DDC Class
621.3: Electrical Engineering, Electronic Engineering
Funding(s)
SFB 1615 - Teilprojekt A08: Lagrangesche Bauelemente mit einem validierten Modell zur Vielteilchen-Positionsbestimmung
SFB 1615 - SMARTe Reaktoren für die Verfahrenstechnik der Zukunft
More Funding Information
This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1615 – 503850735.
License
https://creativecommons.org/licenses/by/4.0/
Technical information
Usage is noted down in the README.md
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License.md

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1.54 KB

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README.md

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11.4 KB

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01_Data.zip

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146.13 MB

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02_Scripts.zip

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14.41 KB

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03_Hardware.zip

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447.21 KB

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04_Firmware.zip

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33 KB

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