Real Weather Radar Data Doppler Moments Processing using Parametric Spectrum Estimator (PSE)

Datacite citation style:
Dash, Tworit; Fred van der Zwan; Driessen, Hans; Krasnov, Oleg; Yarovoy, Alexander (2024): Real Weather Radar Data Doppler Moments Processing using Parametric Spectrum Estimator (PSE). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5d20fb09-7803-4400-908e-06ec7364bea3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version: version 2 - 2024-08-21 (latest)
version 1 - 2024-08-19

This repository contains MATLAB code for estimating Doppler moments using the Parametric Spectrum Estimator (PSE) and comparing these estimates with other state-of-the-art methods. The data is from the MESEWI radar, an X-band azimuthally scanning radar at TU Delft, Netherlands. Details of the code repository can be found in the README file in the software repository. One example dataset used in the software is uploaded here (with the ".mat" format of MATLAB).

history
  • 2024-08-19 first online, published, posted
publisher
4TU.ResearchData
format
.zip containing MATLAB/.m files, data files with MATLAB/.mat extension.
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Microelectronics, Section of Microwave Sensing, Signals & Systems

DATA - restricted access

Reason

The dataset and code provided in this submission are protected under intellectual property rights owned by the original authors. To ensure proper recognition and to protect the intellectual contributions of the authors, access to these files is restricted. Users must request access and agree to the conditions outlined below.

End User Licence Agreement

License Agreement Terms:

  1. Usage Rights: The dataset and code can only be accessed by users who have been granted explicit permission. Users must submit a request to gain access and explain the purpose of their use.
  2. Citation Requirement: Users granted access to the dataset and code must properly cite the original authors’ paper and any related code when using, publishing, or disseminating results derived from this data or software. The citation should follow the format provided by the authors.
  3. Non-Commercial Use: The dataset and code are to be used strictly for non-commercial research purposes unless explicit permission for commercial use is obtained from the authors.
  4. Redistribution: Users are not permitted to redistribute the dataset or code in any form. Any parties interested in using the dataset or code must follow the same request process outlined here.
  5. Modifications: Any modifications to the code or derived datasets must also be accompanied by appropriate citations and must acknowledge the original authors.
  6. Reporting Results: Users are encouraged to share their findings with the original authors and, where applicable, collaborate on publishing results.

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