Python Time Normalized Superposed Epoch Analysis (SEAnorm) Example Data Set

<p>Solar Wind Omni and SAMPEX (&nbsp;Solar Anomalous and Magnetospheric Particle Explorer) datasets used in examples for <a href="https://github.com/samwalton7645/SEA_Code">SEAnorm</a>, a time normalized superposed epoch analysis package in python.</p> <p>Both data sets are stored as either a HDF5 or a compressed csv file (csv.bz2) which&nbsp;contain a&nbsp;Pandas DataFrame of either the Solar Wind Omni and SAMPEX data sets. The data sets where written with pandas.DataFrame.to_hdf() and pandas.DataFrame.to_csv()&nbsp;using a compression level of 9. The DataFrames can be read using pandas.DataFrame.read_hdf( ) or pandas.DataFrame.read_csv( ) depending on the file format.&nbsp;&nbsp;</p> <p>The Solar Wind Omni data sets contains solar wind velocity (V) and dynamic pressure (P), the southward&nbsp;interplanetary magnetic field in Geocentric Solar Ecliptic System (GSE) coordinates (B_Z_GSE), the auroral electrojet index&nbsp;(AE), and the Sym-H index all at 1 minute cadence.&nbsp;</p> <p>The SAMPEX data set contains electron flux from the Proton/Electron Telescope (PET) at two energy channels&nbsp;1.5-6.0 MeV (ELO) and 2.5-14 MeV (EHI) at an approximate 6 second cadence.</p> <p>&nbsp;</p>