Published February 7, 2024 | Version v1
Dataset Open

Data for "Determining Strain Components in a Diamond Waveguide from Zero-Field ODMR Spectra of NV- Center Ensembles"

  • 1. Institute of Theoretical Physics, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
  • 2. Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
  • 3. Dipartimento Scienza Applicata e Tecnologia, Politecnico di Torino, 10129, Torino, Italy
  • 4. Department of Physics, University of Münster, 48149, Münster, Germany
  • 5. Institute for Photonics and Nanotechnologies (IFN) CNR, 20133 Milano, Italy
  • 6. School of Engineering, Cardiff University, Cardiff CF24 3AA, United Kingdom
  • 7. Translational Research Hub,Cardiff CF24 4HQ, United Kingdom
  • 8. Institute for Quantum Optics, Ulm University, D-89081 Ulm, Germany
  • 9. Center for Integrated Quantum Science and Technology (IQst), Ulm University, D-89081 Ulm, Germany
  • 10. Department of Physics, Indian Institute of Technology Guwahati, 781039 Assam, India
  • 11. Institute for Quantum Science and Technology, University of Calgary, T2N 1N4 Calgary, Canada
  • 12. Center for Sustainable Future Technologies, Istituto Italiano di Tecnologia, 10144 Torino, Italy

Description

Data repository for: Determining Strain Components in a Diamond Waveguide from Zero-Field ODMR Spectra of NV- Center Ensembles

 

‘Raw_data.txt' contains the data as collected from ODMR experiments. The first column represents the microwave frequency, while the subsequent columns contain counts for positions 1 to 47, as detailed in the Supplementary Material (Sec II).


'Preprocessed_data.txt' includes the preprocessed data, as described in both the main text (Sec II.B) and the Supplementary Material (Sec II). The format of this data is consistent with that described above.

Acknowledgements:

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie ITN project LasIonDef (GA no. 956387). MG acknowledges support from the National Science Centre (Poland) under Grant No. 2015/18/E/ST3/00583. DW acknowledges financial support by the Science Foundation Ireland (SFI) under grants nos. 18/RP/16190 and 22/PATH-S/10656. AJB and JPH acknowledge the financial support provided by EPSRC via Grant No. EP/T017813/1 and EP/03982X/1. VB acknowledges the support of the Alexander von Humboldt Foundation. AB gratefully acknowledges financial contribution from MAECI, "Italy-Israel joint programme - 2023 scientific track" within the project PRECIOUSMRI. SME is thankful for the support from the projects QuantDia (FISR2019-05178) and PNRR PE0000023 NQSTI funded by MUR (Ministero dell'Università e della Ricerca). MG, DW, and PM acknowledge support from the Alexander von Humboldt Foundation in the framework of the Research Group Linkage Programme funded by the German Federal Ministry of Education and Research.

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Preprocessed_data.txt

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