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Plasma state identification in the COMPASS tokamak
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Title of dataset Plasma state identification in the COMPASS tokamak Author(s) Zorek, M. (CZ)
Škvára, V. (CZ)
Šmídl, V. (CZ)
Pevný, T. (CZ)
Seidl, Jakub (UFP-V) RID
Grover, Ondřej (UFP-V) ORCIDType of datasets Dataset Language angličtina Description of the dataset The dataset contains selected diagnostic measurements from the COMPASS tokamak and manually created labels of plasma state in the form of csv files. The dataset defines 4 plasma states: L-mode, H-mode, ELM leading edge and ELM trailing edge. The data is intended to be used for training and testing deep neural networks in the task of plasma state identification. The dataset is divided into two parts, supervised (labeled) and unsupervised (unlabeled), each containing 20 COMPASS discharges. Within the unsupervised dataset there are 11 labeled discharges that can be used as a test set. Institutional support RVO:61389021 Keywords COMPASS * tokamak * h-mode * l-mode Location - place Praha Location - country Czech Republic Time period 01.01.2014 - 31.12.2019 License License is part of the dataset Contact person Vladimíra Kebza, kebza@ipp.cas.cz, Tel.: 266 052 975 DOI https://doi.org/10.57680/asep.0571890
Handle: https://hdl.handle.net/11104/0342782Record owner Institute of Plasma Physics SYSNO 0571890 Date issued 15.05.2023 File Download Size Commentary Access dataset_v01.zip File list 6 421.7 MB require
Number of the records: 1