Data from: Thrust Measurements of a waveguide Electron Cyclotron Resonance Thruster - Authors: Marco Riccardo Inchingolo, Mario Merino, Mick Wijnen, Jaume Navarro-Cavallé - Contact email: minching@pa.uc3m.es - Date: 2024-02-19 - Keywords: electric propulsion, plasma, magnetic nozzles, electron cyclotron resonance, ECRT - Version: 1.1 - License: This dataset is made available under the Open Data Commons Attribution License Abstract This dataset contains the data found in the plots of the accepted article in the Journal of Applied Physics (JAP): "Thrust Measurements of a waveguide Electron Cyclotron Resonance Thruster" The data in this repository are obtained from measurements performed on a waveguide ECR thruster prototype as described in the reference. For further information on the experimental setup please refer to the article. Data Files The data files are in comma-separated .csv format. Many programming languages provide functionalities to load such fields. The files are organized following the order of the figures in the article. Therefore each file contains a different sized array of different quantities. Citation Any works using this dataset or any part of it in any form shall cite it as follows: The preferred means of citation is to reference the publication associated with the article in the Journal of Applied Physics (JAP): "Thrust Measurements of a waveguide Electron Cyclotron Resonance Thruster" The BibTex is also provided for the sake of convenience: @article{minching2024a, author = {M. R. Inchingolo and M. Merino and M. Wijnen and J. Navarro-Cavall\'e}, title = {Thrust Measurements of a waveguide Electron Cyclotron Resonance Thruster}, journal = {Journal of Applied Physics}, volume = {135}, number = {9}, year={2024}, month = {March}, url = {https://doi.org/10.1063/5.0186778}, doi = {10.1063/5.0186778}, publisher={AIP Publishing LLC}} Optionally the dataset can be cited by referencing the corresponding DOI: 10.5281/zenodo.10680778 Acknowledgments This work has been supported by the R\&D project PID2019-108034RB-I00 (ESPEOS), funded by MCIN/AEI/10.13039/501100011033. The contribution of M. Merino has been supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program, project [ERC-ZARATHUSTRA project](https://erc-zarathustra.uc3m.es/), grant agreement No 950466.