Dataset for "Coherency of Lightning Sferics"

The dataset contains data and code underlying figures that illustrate an event selection process for lightning sferics with an example of 650 km group events. The data includes both amplitude waveform bank and coherency waveform bank data; coherency of different frequency components data of 190 km; simulated impulse detection cases data; and waveform comparison data. The code folder contains the code used to produce these figures in the associated publication.

Keywords:
Lightning, Electromagnetic Noise, Atmospheric and Space Electricity

Cite this dataset as:
Bai, X., Fullekrug, M., 2022. Dataset for "Coherency of Lightning Sferics". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01057.

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Data

Data.zip
application/zip (78MB)
Creative Commons: Attribution 4.0

The data are used to plot the figures on the paper: Coherency of Lightning Sferics.

Code

Code.zip
application/zip (17kB)
Creative Commons: Attribution 4.0

The codes are used to plot the figures on the paper: Coherency of Lightning Sferics.

Creators

Xue Bai
University of Bath

Contributors

University of Bath
Rights Holder

Coverage

Collection date(s):

From 14 August 2019 to 31 August 2019

Geographical coverage:

Europe

Documentation

Data collection method:

The full details of the methodology used are contained in the manuscript associated with this dataset.

Documentation Files

readme.rtf
text/rtf (766B)
Creative Commons: Attribution 4.0

Funders

PhD Studentship

Lightning Impact on the lower Ionosphere observed from the Square Kilometre Array
NMG\R1\180252

Natural Environment Research Council (NERC)
https://doi.org/10.13039/501100000270

Radio Tomography for Atmospheric Science
NE/L012669/1

Natural Environment Research Council (NERC)
https://doi.org/10.13039/501100000270

Relativistic Electron Beams Above Thunderclouds
NE/H024921/1

H2020 Marie Skłodowska-Curie Actions (MSCA)
https://doi.org/10.13039/100010665

Management Marie Curie ITN - SAINT - Science and Innovation with Thunderstorms
ITN 722337

Publication details

Publication date: 9 May 2022
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01057

URL for this record: https://researchdata.bath.ac.uk/id/eprint/1057

Related papers and books

https://doi.org/10.1029/2021RS007347

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Martin Fullekrug

Departments:

Faculty of Engineering & Design
Electronic & Electrical Engineering