See the "Juno/Waves Calibrated flux density Repository Collection" webpage for more information (https://doi.org/10.25935/6jg4-mk86)

- List of Datasets
    - CDF save file
        - l3a>data>cdc: dataset at a temporal resolution of 1 second, containing the calibrated data with the intensity values in linear (data variable), the gain, the background and the background standard deviation values.

    - IDL save file
        - l3a>data>sav: dataset at a temporal resolution of 1 second or 15 seconds containing the calibrated data with the intensity values in linear (ZLINCAL variable)

    -Quicklook
        - l3a>browse: daily dynamic spectrums in pdf and png format.

- How are the flux density estimated?
The steps to derive the flux density are the following:
    - Use times series from PDS data in linear scale, resample to 1 second
    - Apply an FFT-filtering by selecting the first eight harmonic of the spacecraft spin-period, with a width of df=7% of the frequency around the peaks
    - Apply calibration gain which gives local-calibrated flux densities
    - Optionally, correct for 1/R2 dependence to normalize the flux to a constant distance. This should not be done e.g. when studying local wave Electric-field, but should be done when studying the statistical latitudinal distribution of the radio beaming, as in the following study.
    - Optionally subtract the time-independent background in linear scale.

A complete description of the methodology used to calibrate the data can be found in Louis et al. (2021, https://doi.org/10.1002/essoar.10506795.1, submitted to JGR).


- Rules of use
We kindly request the authors of any communications and publications using these data to let us know about them, include minimal citation to the reference below and appropriate acknowledgements whenever needed.


- Acknowledgements
The MASER Juno/Waves CDR collection has been calculated by C. Louis, P. Zarka, W. Kurth, K. Dabidin, P.-A. Lampson, F. Magalhaes and A. Boudouma. The authors acknowledge the Observatoire de Paris, CNES, CNRS for funding and supporting this work and the University of Iowa and the Juno/Waves team for providing access to the Juno/Waves data accessible online from PDS (on-demand) at https://doi.org/10.17189/1519708