Supplemental Material for "Pick Aggregator: A Multi-Model Ensemble of Machine Learning Pickers to Generate an Onshore-Offshore Seismic Catalog for Puerto Rico and the Virgin Islands"

This repository contains supplemental material for the following manuscript: Pick Aggregator: A Multi-Model Ensemble of Machine Learning Pickers to Generate an Onshore-Offshore Seismic Catalog for Puerto Rico and the Virgin Islands (2026), Asiye Aziz Zanjani, Heather R. DeShon, Seismological Research Letters, in review. Repository Contents 1. Relocated-ML-Catalog.txt Machine learning-based seismic catalog developed using the novel ensemble approach, Pick Aggregator, as described in the manuscript. Events were relocated using the open-source XCORLOC package with differential times from waveform cross-correlation. The catalog contains 4,969 events with the following header format: YEAR, MONTH, DAY, HOUR, MINUTE, SECONDS, LATITUDE, LONGITUDE, DEPTH (km), NUMBER OF EVENT PAIRS, NUMBER OF DIFFERENTIAL TIMES, X ERROR (m), Y ERROR (m), Z ERROR (m), ORIGIN TIME ERROR (ms), rms_diff 2. histograms.png Histograms displaying location uncertainties (latitude, longitude, depth, and origin time errors), as well as the distribution of event pairs and differential times from cross-correlation. 3. velocity_model.png Plot of the simple 1-D velocity model used for travel time calculations in the relocation process. 4. pick_detection_histogram.png Histogram showing the percentage of picks detected by two or more combinations of pretrained models in the aggregated catalog. 5. rotating_3d_seismicity.mp4 3D visualization of the relocated seismic catalog.