In this work, we present the development, description, and performance evaluation of two volcano seismological datasets: one containing raw seismic signals (MicSigV1) and another containing a set of 84 distinctive attributes or features for bench-marking (SeisBenchV1), which was extracted from the MicSigV1 dataset, recorded at Cotopaxi volcano in Ecuador. These datasets represent the first public Ecuadorian volcano seismicity repository that will update, publish, and support the release of data to the scientific community on a continual basis. Each dataset contains samples of mostly long-period and volcano-tectonic event classes. Other types of events, such as regional, hybrid, and icequakes, were also included despite their minor presence in the datasets. These datasets will serve to provide an important resource for research in signal processing, feature calculation, feature selection, feature space reduction, seismic events detection, and classification areas. The datasets can be downloaded through a copyright agreement that supports the correct use of the released datasets.