Synthesize low-cost dense accelerometer seismic network signals from IRIS network seismometer signals
Supported input files are miniSEED files downloaded from USGS (usually IRIS Wilber3).
miniSEED manipulation uses obspy.mseed library.
Python 3.6 is required.
Create the virtual environment using python -m venv venv
Make sure to pip install -r requirements.txt
The datasets are named alphabetically (A..Z) using scientist names, starting from Avicenna.
Hendy stores this dataset in E:\project_amanah\S3\earthquake\dataset-avicenna.
Each event contains:
- QuakeML
- miniSEED waveforms for selected stations (up to nearest 5 stations with signals)
| No. | Description | Time | Location | Depth | MMI |
|---|---|---|---|---|---|
| 1 | M 5.9 - 29km SW of Panyaungan Timur, Indonesia | 2018-01-23 06:34:54 UTC | 7.092°S 105.963°E | 48.2 km | V |
| 2 | M 5.2 - 50km S of Sinarharapan, Indonesia | 2017-12-16 00:22:30 UTC | 7.884°S 106.820°E | 44.0 km | III |
| 3 | M 6.5 - 1km E of Kampungbaru, Indonesia | 2017-12-15 16:47:58 UTC | 7.492°S 108.174°E | 90.0 km | VII |
| 4 | M 5.7 - 109km SSW of Cibungur, Indonesia | 2017-06-11 23:15:06 UTC | 8.321°S 106.259°E | 7.0 km | IV |
| 5 | M 5.2 - 0km S of Cipatujah, Indonesia | 2017-04-23 18:01:13 UTC | 7.740°S 108.019°E | 72.2 km | V |
- Differentiate from displacement/velocity into acceleration
- Attenuate (based on linear distance from hypocenter)
- Add noise - different levels of noise