Data and models for IMS and GR network PhaseNet and EarthquakeTransformer
收藏Zenodo2026-03-20 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.19050966
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资源简介：
Part of the publication "Effects of Waveform Denoising and Network-Specific Training on ML-Based Seismic Phase Picking" submitted to Pageoph.
The files named "adversary" use the PhaseNet model.
The models and GR dataset can be loaded with seisbench (https://github.com/seisbench/seisbench),
using e.g. the commands on cuda ready devices:
model = sbm.PhaseNet.load("model_IMS_adversary")
model = sbm.EQTransformer.load("model_eqt_bgr")
The models were trained with cuda, so on cpu only devices the map_location needs to be explicitly defined:
model = sbm.PhaseNet.load("model_IMS_adversary", map_location=torch.device('cpu'))
model = sbm.EQTransformer.load("model_eqt_bgr", map_location=torch.device('cpu'))
提供机构：
Zenodo
创建时间：
2026-03-20
