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Dataset for comparison of QuantumPower method to the differential PJVS method.

<p>Dataset for comparison of QuantumPower method to the differential PJVS method.</p> <p>&nbsp;</p> <p>Two methods for calibration of low frequency AC voltage using quantum voltage standard were compared: 1, classic differential method where digitizer measures difference between device under test and a step sine like signal generated by programmable josephson voltage standard. 2, quantum power method, where digitiser is first calibrated using programmable josephson voltage standard, and after a switch of multiplexer digitiser directly measures voltage of a device under test.</p> <p>&nbsp;</p> <p>To obtain the data, QPSW software was used:</p> <p>https://github.com/KaeroDot/QPsw</p> <p>&nbsp;</p> <p>Author: Martin &Scaron;&iacute;ra</p> <p>&nbsp;</p> <p>Contact: Czech Metrology Institute, Okružn&iacute; 31, 638 00 Brno, msira@cmi.cz</p> <p>&nbsp;</p> <p>Part of project Quantum traceability for AC power standards, QuantumPower, Project Number: 19RPT01. This project (19RPT01) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.</p> <p>&nbsp;</p> <p>https://www.euramet.org/research-innovation/search-research-projects/details/project/quantum-traceability-for-ac-power-standards/</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Dataset details

Repository
zenodo
Published
October 26, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.10046412

Scored with release 0.9.0

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