import seisbench
from .base import WaveformBenchmarkDataset
[docs]
class Iquique(WaveformBenchmarkDataset):
"""
Iquique Benchmark Dataset of local events used for training in Woollam (2019)
study (see citation).
Splits are set using standard random sampling of :py:class:`seisbench.data.base.BenchmarkDataset`.
"""
def __init__(self, **kwargs):
citation = (
"Woollam, J., Rietbrock, A., Bueno, A. and De Angelis, S., 2019. "
"Convolutional neural network for seismic phase classification, "
"performance demonstration over a local seismic network. "
"Seismological Research Letters, 90(2A), pp.491-502. "
"https://doi.org/10.1785/0220180312"
)
seisbench.logger.warning(
"Check available storage and memory before downloading and general use "
"of Iquique dataset. "
"Dataset size: waveforms.hdf5 ~5Gb, metadata.csv ~2.6Mb"
)
super().__init__(citation=citation, repository_lookup=True, **kwargs)
def _download_dataset(**kwargs):
pass