CRLBD - The Corinth Rift Laboratory Benchmark Dataset

Description We present the Corinth Rift Laboratory Benchmark Dataset (CRLBD), a collection of waveforms and associated phase arrival times from the Western Gulf of Corinth (WGoC), Greece, the area monitored by the Corinth Rift Laboratory (CRL) Near-Fault Observatory (NFO). A plethora of seismic instruments are installed in WGoC by multiple institutes, to record the high seismic activity, characterized by swarms. CRLBD comprises 224,573 three-component records from 13,918 local earthquakes and 67,371 noise recordings, between June 2018 and December 2024. The dataset has a dominant local character, with over 99% of the traces having been recorded in hypocentral distances less or equal to 100 km. CRLBD has been created primarily focused on Deep-Learning (DL) phase pickers and is fully compatible with the SeisBench toolbox. The dataset includes 13,918 earthquakes located within the boundaries of the CRL-NFO area in WGoC 224,573 3-channel waveforms, from broadband and short-period seismometers, as well as accelerometers 121 (for events) and 46 (for noise) metadata fields 8 networks (CL, HA, HP, HL, HT, HI, HC, 1Y) 128 stations 224,573 P and 127,629 S manually picked phase arrivals The seismic catalogue was located using picked phase arrivals from the Geodynamic Institute of the National Observatory of Athens (GI-NOA) and the Seismological Laboratory of the National and Kapodistrian University of Athens (SL-NKUA). The dataset was created in the context of the TRANSFORM² project. Files The following files comprise the full dataset: crlbd.tar.gz: Compressed archive that contains the event waveforms in HDF5 format (waveforms.hdf5) and their metadata (metadata.csv) according to the structure expected by SeisBench. crlbdnoise.tar.gz: Compressed archive that contains the noise waveforms, structured similarly to the events subset. crlbd_inventory.xml: StationXML file containing full station information (including instrument responses) post-June 2018, as acquired from the GI-NOA and RESIF EIDA nodes. metadata_fields.csv: Descriptions of metadata fields. LICENSE.txt: CC-BY-4.0 legal code. README.md: The README file. How to use After downloading the record, you need to uncompress the two archives with (from within the record's folder): tar -xvzf crlbd.tar.gz tar -xvzf crlbdnoise.tar.gz The datasets may then be loaded with SeisBench: # import the relevant module from SeisBench from seisbench import data as sbd # Load the events dataset - run from the directory which includes the uncompressed folders print("Loading the events CRLBD dataset...") ds = sbd.WaveformDataset("crlbd", component_order="ZNE") # Load the noise dataset print("Loading the noise CRLBD dataset...") dsn = sbd.WaveformDataset("crlbdnoise", component_order="ZNE") # Check the first five records in the metadata # - You will see 123/48 columns in the metadata, as `index` and `trace_chunk` are assigned by SeisBench on loading. print(ds.metadata.head(5)) print(dsn.metadata.head(5)) # show some dataset info print("\n=== Dataset Summary ===") print(f"Unique events: {len(ds.metadata['source_id'].unique()):,}") print(f"Unique networks: {len(ds.metadata['station_network_code'].unique()):,}") print(f"Unique stations: {len(ds.metadata['station_code'].unique()):,}") print(f"P picks: {ds.metadata.trace_P_arrival_sample.notna().sum():,}") # all records have non-null P print(f"S picks: {ds.metadata.trace_S_arrival_sample.notna().sum():,}") # only records with picked S print(f"epi