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The nature of the data is described in Methods.
The methodology used to obtain the data is described.
The original data is described here, but we recommend using the data here.
A model-dependent procedure for the quantitative analysis of the sky survey data is described.
The comparison of simulation results with measured data is described in the paper with sufficient accuracy.
The extensive data including pressure, temperatures at multiple locations, and density from CT data is described.
A new numerical optimization method to obtain these mode shapes from frequency response data is described.
Each retrieval algorithm for atmospheric aerosols, clouds and water vapor from ADEOS/POLDER data is described.
A hierarchical model with all hyper-parameters automatically determined from the given data is described.
A thorough validation process of the numerical model, based on published experimental data is described.
The preparation of the neural network training data from foam test data is described.
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