Data and code for: A Scalable, Open-Source SoC-Based Backend for Standalone Low-Field NMR Systems

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Kern, Michal, 2026, "Data and code for: A Scalable, Open-Source SoC-Based Backend for Standalone Low-Field NMR Systems", https://doi.org/10.18419/DARUS-6455, DaRUS, V1
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Description
FPGA bitstream/HDL source, Python-based Jupyter/ipywidgets control and processing software, and PCB design files for the PYNQ-based NMR backend described in "A Scalable, Open-Source SoC-Based Backend for Standalone Low-Field NMR Systems" (submitted to Journal of Magnetic Resonance Open, 2026). The dataset comprises three types of files produced during the development of the NMR backend described in the associated publication: HDL source code for the FPGA logic implemented on the Zynq UltraScale+ MPSoC, Python/Jupyter notebooks for experiment control, data acquisition, and signal processing on the embedded processing system, and PCB design files for the circuit boards used. The HDL and software components were developed iteratively and validated experimentally over several measurement campaigns on a ZCU104 development board; the PCB files correspond to the board layout as fabricated and used in the reported experiments. The data is organized by functional area into folders: HVNMR_FPGA_Design (the HDL data), HVNMR_GUI_30102024_Patch (the software), and Hardware. The HDL folder contains the project structure and source files for the programmable logic; the software folder contains the Jupyter notebooks and associated Python modules for device configuration, pulse programming, and signal processing; the PCB folder contains schematic and layout files in Altium. This work was supported by the German Research Foundation (DFG) under grants no. AN 984/24-1, AN 984/25-1, INST 121384/265-1, and INST 121384/270-1, the German Federal Ministry of Research, Technology and Space (BMFTR) under grants no. 13N16992, and the Baden-Wuerttemberg Ministry of Science, Research and Arts (MWK) under projects Q-NOVA and Hyper-NMR.
Subject Engineering; Physics
Keyword PYNQ, Low-Field NMR, NMR-On-A-Chip, CMOS-Transceiver, Open-Source Hardware, Embedded System, FPGA
Related Publication Is Supplement To: Zhao Z, Wirth T, Peng Y, Chen Y, Zhao J, Bürkle H, Klotz T, Kern M, Blümich B, Anders J. A Scalable, Open-Source SoC-Based Backend for Standalone Low-Field NMR Systems. Journal of Magnetic Resonance Open, submitted 2026
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PYNQ_NMR.zip
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Published Sep 28, 2026
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MD5: 883c20d0f5133f8ba67090d2e7b079af
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The research data in this dataset is licensed under CC BY 4.0.
The research software (Python and FPGA bitstream/HDL source) in this dataset is licensed under the MIT license.
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Curation Status History
StatusDateAssigner
2026-09-28 06:44:16Michal Kern
In Review by FoKUS2026-09-28 06:39:45Florian Fritze
Waiting for Feedback from Author2026-09-08 10:50:26Florian Fritze
In Review by FoKUS2026-09-07 16:43:31Dataverse Admin
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