Individual skill
evo-seismic-data-preprocessing
Loads seismic waveform data from .npz files and converts them into ObsPy Stream objects ready for SeisBench model inference. Handles channel identification, reordering to Z/N/E convention, float32 conversion, detrending, and resampling to 100 Hz.
tasks-evolved/seismic-phase-picking/environment/skills/evo-seismic-data-preprocessing/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
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- Last checked
- Nov 6, 2026
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- Sep 10, 2026
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- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
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- open-world Repository topic
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- data Derived category
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# evo-seismic-data-preprocessing
## Overview
This skill handles all data I/O from .npz seismic trace files and transforms them into properly formatted ObsPy Stream objects with correct channel ordering (Z, N, E), sampling rate (100 Hz), and data types (float32).
## Key Knowledge
- NPZ files contain: data (12000x3), dt (sampling interval), channels (comma-separated like "DPE,DPN,DPZ")
- SeisBench models expect Z, N, E channel order - must reorder from whatever order is in the file
- Channel codes ending in Z=Vertical, N=North, E=East
- Data must be float32 for PyTorch models
- Detrend (demean) before inference
- Resample to 100 Hz if not already at that rate
## Usage