These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects. See AAREADME_insitu_ML.txt for more explanation. If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, A. Isavnin): christian.moestl@oeaw.ac.at or twitter @chrisoutofspace Made with...
Source: https://figshare.com/articles/dataset/Solar_wind_in_situ_data_suitable_for_machine_learning_python_numpy_arrays_STEREO-A_B_Wind_Parker_Solar_Probe_Ulysses_Venus_Express_MESSENGER/12058065/2

These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects. See AAREADME_insitu_ML.txt for more explanation. If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, A. Isavnin, D. Stansby): christian.moestl@oeaw.ac.at or twitter @chrisoutofspace Made with...
Source: https://figshare.com/articles/dataset/Solar_wind_in_situ_data_suitable_for_machine_learning_python_numpy_arrays_STEREO-A_B_Wind_Parker_Solar_Probe_Ulysses_Venus_Express_MESSENGER/12058065/5