Data and artifacts for "Explaining El Niño Forecasts with the Average Gradient Outer Product"

Processed data, trained neural-network checkpoints, analysis artifacts, numerical source data, manuscript Figures 3–12 and Table 1, timing benchmarks, and the standardized-ocean-current animation supporting “Explaining El Niño Forecasts with the Average Gradient Outer Product.” The processed data comprise a 12,000-year Zebiak–Cane ENSO simulation sampled three times per month. The manuscript models use SST anomaly, thermocline depth, zonal and meridional ocean currents, plus two annual-phase coordinates; the chronological split is 10,000 years for training, 1,000 for validation, and 1,000 for testing. Use this record with the BSD-3-Clause source release at https://github.com/rjwebber/agop-xai/releases/tag/v1.0.0. Unpack all three ZIP archives at the repository root and follow the repository documentation to reproduce the manuscript products. The private legacy input and downloaded upstream Zebiak–Cane source are not included. Except where third-party provenance states otherwise, these data and artifacts are released under CC BY 4.0.