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The Machine Learning Asset Aggregation of the PDE (MLAAPDE) is a waveform archive, feature labeled catalog, and Python module that together provide a routine way to gather high-quality input data to train machine learning models. While all the data provided are already publicly available, MLAAPDE packages it in a format that allows a user to prepare input for common machine learning frameworks with few lines of code. Most of the features that are part of the MLAAPDE dataset are selected from the Preliminary Determination of Epicenters (PDE), the official earthquake catalog of the USGS National Earthquake Information Center (NEIC). The PDE aims to provide a complete catalog of source characterization estimates...