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If you find *ramanchada2* useful, please consider giving it a ⭐ on [GitHub](https://github.com/h2020charisma/ramanchada2)!
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## Mini quick start with Conda
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@@ -79,5 +80,24 @@ jupyter-lab
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A web browser with jupyter should start automaticaly.
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🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under [grant agreement No. 952921](https://cordis.europa.eu/project/id/952921).
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## Credits
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If you use *ramanchada2* in your research, please cite the following paper:
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> Georgiev, G., Coca-Lopez, N., Lellinger, D., Iliev, L., Marinov, E., Tsoneva, S., Kochev, N., Bañares, M. A., Portela, R. and Jeliazkova, N. (2025), Open Source for Raman Spectroscopy Data Harmonization. J Raman Spectrosc. https://doi.org/10.1002/jrs.6789
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```bibtex
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@article{georgiev2025ramanchada2,
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author = {Georgiev, G. and Coca-Lopez, N. and Lellinger, D. and Iliev, L. and Marinov, E. and Tsoneva, S. and Kochev, N. and Bañares, M. A. and Portela, R. and Jeliazkova, N.},
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title = {Open Source for Raman Spectroscopy Data Harmonization},
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journal = {Journal of Raman Spectroscopy},
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keywords = {calibration, data processing, NeXus, Orange data mining, Python},
🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement [No. 952921](https://cordis.europa.eu/project/id/952921).
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