2 datasets found
  1. Python Time Normalized Superposed Epoch Analysis (SEAnorm) Example Data Set

    • zenodo.org
    hdf
    Updated Jul 15, 2022
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    Sam D. Walton; Sam D. Walton; Kyle R. Murphy; Kyle R. Murphy (2022). Python Time Normalized Superposed Epoch Analysis (SEAnorm) Example Data Set [Dataset]. http://doi.org/10.5281/zenodo.6835137
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Jul 15, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sam D. Walton; Sam D. Walton; Kyle R. Murphy; Kyle R. Murphy
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Solar Wind Omni and SAMPEX ( Solar Anomalous and Magnetospheric Particle Explorer) datasets used in examples for SEAnorm, a time normalized superposed epoch analysis package in python.

    Both data sets are stored as HDF5 files which contain a Pandas DataFrame of the Solar Wind Omni and SAMPEX data sets. The data sets where written with pandas.DataFrame.to_hdf( ) using a compression level of 9. The DataFrames can be read using pandas.DataFrame.read_hdf( ).

    The Solar Wind Omni data sets contains solar wind velocity (V) and dynamic pressure (P), the southward interplanetary magnetic field in Geocentric Solar Ecliptic System (GSE) coordinates (B_Z_GSE), the auroral electrojet index (AE), and the Sym-H index all at 1 minute cadence.

    The SAMPEX data set contains electron flux from the Proton/Electron Telescope (PET) at two energy channels 1.5-6.0 MeV (ELO) and 2.5-14 MeV (EHI) at an approximate 6 second cadence.

  2. Z

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

    • data.niaid.nih.gov
    Updated Jul 15, 2022
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    Walton, Sam D. (2022). Python Time Normalized Superposed Epoch Analysis (SEAnorm) Example Data Set [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6835136
    Explore at:
    Dataset updated
    Jul 15, 2022
    Dataset provided by
    Walton, Sam D.
    Murphy, Kyle R.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Solar Wind Omni and SAMPEX ( Solar Anomalous and Magnetospheric Particle Explorer) datasets used in examples for SEAnorm, a time normalized superposed epoch analysis package in python.

    Both data sets are stored as either a HDF5 or a compressed csv file (csv.bz2) which contain a 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() 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.

    The Solar Wind Omni data sets contains solar wind velocity (V) and dynamic pressure (P), the southward interplanetary magnetic field in Geocentric Solar Ecliptic System (GSE) coordinates (B_Z_GSE), the auroral electrojet index (AE), and the Sym-H index all at 1 minute cadence.

    The SAMPEX data set contains electron flux from the Proton/Electron Telescope (PET) at two energy channels 1.5-6.0 MeV (ELO) and 2.5-14 MeV (EHI) at an approximate 6 second cadence.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Sam D. Walton; Sam D. Walton; Kyle R. Murphy; Kyle R. Murphy (2022). Python Time Normalized Superposed Epoch Analysis (SEAnorm) Example Data Set [Dataset]. http://doi.org/10.5281/zenodo.6835137
Organization logo

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

Explore at:
hdfAvailable download formats
Dataset updated
Jul 15, 2022
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Sam D. Walton; Sam D. Walton; Kyle R. Murphy; Kyle R. Murphy
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Solar Wind Omni and SAMPEX ( Solar Anomalous and Magnetospheric Particle Explorer) datasets used in examples for SEAnorm, a time normalized superposed epoch analysis package in python.

Both data sets are stored as HDF5 files which contain a Pandas DataFrame of the Solar Wind Omni and SAMPEX data sets. The data sets where written with pandas.DataFrame.to_hdf( ) using a compression level of 9. The DataFrames can be read using pandas.DataFrame.read_hdf( ).

The Solar Wind Omni data sets contains solar wind velocity (V) and dynamic pressure (P), the southward interplanetary magnetic field in Geocentric Solar Ecliptic System (GSE) coordinates (B_Z_GSE), the auroral electrojet index (AE), and the Sym-H index all at 1 minute cadence.

The SAMPEX data set contains electron flux from the Proton/Electron Telescope (PET) at two energy channels 1.5-6.0 MeV (ELO) and 2.5-14 MeV (EHI) at an approximate 6 second cadence.

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