{"url":"/dataset/hemew-s-3d","name":"HEMEW^S-3D","full_name":"HEterogeneous Materials and Elastic Waves with Source variability in 3D","description_markdown":"The HEterogeneous Materials and Elastic Waves with Source variability in 3D (HEMEWS-3D) database comprises 30,000 simulations of elastic wave propagation in 3D geological domains. Each domain is parametrized by a different geological model built from a random arrangement of layers augmented by random fields that represent heterogeneities. Elastic waves originate from a randomly located pointwise source parametrized by a random moment tensor. For each simulation, ground motion is synthesized at the surface by a grid of virtual sensors. The high frequency of waveforms ($f_{max}$ = 5 Hz) allows for extensive analyses of surface ground motion.\r\n\r\nExisting and foreseen applications range from statistical analyses of the ground motion variability and machine learning methods on geological models to deep-learning-based predictions of ground motion that depend on 3D heterogeneous geologies and source properties.","description_withheld":null,"homepage":"https://doi.org/10.57745/LAI6YU","introduced_date":"2024-05-07","introduced_date_note":null,"introduced_by":null,"license":{"name":"This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.","url":"https://www.gnu.org/licenses/"},"modalities":[],"tasks":[{"name":"Time Series Regression","url":"/task/time-series-regression","datasets_with_task":"/datasets/task/time-series-regression"},{"name":"PDE Surrogate Modeling","url":"/task/pde-surrogate-modeling","datasets_with_task":"/datasets/task/pde-surrogate-modeling"}],"languages":[],"variants":["HEMEW^S-3D"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}