Archive of earthquake data for research in seismology and earthquake engineering in Southern California recorded or processed by the Southern California Seismic Network (SCSN). Users can access information on: * Recent earthquakes detected by the SCSN * Significant southern California earthquakes and faults * The southern California earthquake catalog, spanning from 1933 to present * Waveform and metadata files of SCSN seismic stations from 1977 to present * Data sets created by SCEC scientists to assist in ongoing and future research

This dataset contains ground motion velocity and acceleration seismic waveforms recorded by the Southern California Seismic Network (SCSN) and archived at the Southern California Earthquake Data Center (SCEDC). A Distributed Acousting Sensing (DAS) dataset is included.

Readme.pdf

Detailed explanation of each data file.

data_joined_all_SCEC.csv

The full table containing spatially-varying physics-informed features is structured as an 20,975,691 (rows) by 38 (columns) dataframe. The first three columns – longitude, latitude, and depth – describe the position of a point, uniquely defining each row, at which values of other physical features in the row are described by all other columns in that row. Longitude, latitude and depth values are centres of 0.01°-by-0.01°-by-2 km 3D spatial bins. The seismogenic depth in this area is around 30 km, so we include data up to 50 km of depth to include as much as possible, but avoid unneeded memory intensity. Each of the 35 columns comes from one of the six SCEC community models, and does not have defined values in all of the rows, since areas where features are defined differ.

earthquakes.csv

SCEDC Earthquake catalog

Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25). NLL-SSST-coherence (Lomax and Savvaidis, 2022; Lomax and Henry, 2023) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision. Relocations performed with phase arrival data available from http://service.scedc.caltech.edu Visualizations include topography from https://opentopography.org and surface fault traces from https://usgs.maps.arcgis.com This repository contains: Full catalog in CSV format: CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ Full catalog in NonLinLoc hyp format: NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ Key NLL-SSST-coherence configuration files: NLL-SSST-coherence_config/* Selected Visualization images

The csv file “Ridgecrest_table2_v1.csv” contains measurements of apparent stress, stress parameter, and corner frequency.

EvtID: Earthquake’s Event ID in Southern California Earthquake Data Center (SCEDC, https://scedc.caltech.edu).

Mw: Moment magnitude

AST: Apparent stress measurements in MPa using a time domain algorithm.

AST_STD: Standard deviation of AST in log10 units.

ASF: Apparent stress measurements in MPa using a frequency domain algorithm. Station terms have been corrected.

ASF_STD: Standard deviation of ASF in log10 units.

Brune: Stress parameter or Brune’s stress drop in MPa

Brune_STD: Standard deviation of ASF in log10 units. Note that the uncertainty is estimated using a bootstrap approach.

Fc: Corner frequency of the geometric mean source spectra

Fc_STD: Standard deviation of Fc in log10 units. Note that the uncertainty is estimated using a bootstrap approach.

ASF_sub: Apparent stress measurements in MPa using a frequency domain algorithm. Unlike ASF, only the stations with station terms less than 3 are used. No correction for station terms.

ASF_stack: Apparent stress measurements in MPa using the geometric mean source spectra.

Depth: Centroid depth in km

Vs: S wave velocity at the centroid depth in km/s

Density: Density at the centroid depth in Mg/m³

This page contains data used in the analysis for the paper titled "The first detection of an earthquake from a balloon using its acoustic signature" in Geophysical Research Letters. This paper performs a data and model-based seismo-acoustic analysis to show the detection of Rayleigh waves generated by a magnitude 4.2 earthquake in July 2019 on a balloon platform at an altitude of 4.8 km. The dataset provided here contains raw data recorded on five balloon-based barometers. The "Hare" and "Tortoise" CSV files contain time-stamped absolute pressure in bar ("_Baro" suffix) and location data ("_GPS" suffix) for two balloons launched on July 22, 2019 and the "Hare2" and "CrazyCat" CSV files contain the same data for two balloons launched on August 9, 2019. CrazyCat has two files pressure data, one for the lower and one for the upper package, as indicated. Location is provided for only the upper package on CrazyCat. The lower package was vertically 36 meters below. Timestamps are in GPS seconds of the day (i.e. time in seconds UTC since 0000 UTC on the day).In addition we provide data generated by two simulation tools used in the work - SPECFEM-2D-DG and RW-Atmos. These data are contained in a netCDF file titled "modelData.nc". Measurement stations and source specifications are described in the attributes.Seismometer data used in this work were downloaded from publicly available data at the Southern California Earthquake Data Center (SCEDC) (doi:10.7909/C3WD3xH1) : https://service.scedc.caltech.edu/

This dataset contains the 7 earthquake catalogs used in the introduction of "Measuring and modeling the occupation probability to characterize the temporal statistics of seismic sequences" submitted to Geophysical Journal International and written by Eric Beaucé.

The structure of the hdf5 file is made of 7 datasets of event timings, in seconds:

• "naf": Seismicity along the North Anatolian Fault Zone in a 5-km radius just east of Sapanca Lake (Beaucé et al., 2022). Time span: 449 days.
• "dora_maira": Seismicity in the Southwestern Alps in a 5-km radius in the Dora Maira massif (Beaucé et al., 2019). Time span: 328 days.
• "pawnee_before": Seismicity in Oklahoma before the 2016 Mw5.8 Pawnee earthquake in the 96.9◦-97.1◦W, 36.30◦-36.50◦N box (Skoumal et al., 2020). Time span: 1720 days.
• "pawnee_after": Seismicity in Oklahoma after the 2016 Mw5.8 Pawnee earthquake in the 96.9◦-97.1◦W, 36.30◦-36.50◦N box (Skoumal et al., 2020). Time span: 118 days.
• "socal": Seismicity in Southern California. Subset of the SCSN catalog in the 118◦-121◦W, 35◦-38◦N, 2015-2019 spatio-temporal box (SCEDC, 2013). Time span: 1458 days.
• or5: Acoustic emissions in lab experiment with dry basalt before the macroscopic failure of the sample (Xing et al., 2021). Time span: 1.9 hours.
• or3b: Acoustic emissions in lab experiment with fluid-saturated basalt before the macroscopic failure of the sample (Xing et al., 2021). Time span: 1 hour.

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References:

• Beaucé, Eric, William B. Frank, Anne Paul, Michel Campillo, and Robert D. van Der Hilst. "Systematic detection of clustered seismicity beneath the Southwestern Alps." Journal of Geophysical Research: Solid Earth 124, no. 11 (2019): 11531-11548.
• Beaucé, Eric, Robert D. van der Hilst, and Michel Campillo. "Microseismic constraints on the mechanical state of the North Anatolian fault zone 13 years after the 1999 M7. 4 Izmit earthquake." Journal of Geophysical Research: Solid Earth 127, no. 9 (2022): e2022JB024416.
• Skoumal, Robert J., Michael R. Brudzinski, Brian S. Currie, and Rosamiel Ries. "Temporal patterns of induced seismicity in Oklahoma revealed from multi-station template matching." Journal of Seismology 24 (2020): 921-935.
• SCEDC, 2013. Southern California Earthquake Center [Dataset], doi: 10.7909/C3WD3xH1.
• Xing, Tiange, Hamed Ghaffari, Ulrich Mok, and Matej Pec. "Creep of CarbFix basalt: Influence of rock-fluid interaction." Solid Earth Discussions 2021 (2021): 1-32.

Code used for performing spatial and temporal seismic magnitude clustering analysis. Includes documentation (README.txt) with steps on how to implement the code. The public datasets used for this study can be accessed at the following locations:

• Southern California Catalog:
  • SCEDC (2013): Southern California Earthquake Center.
    Caltech.Dataset. doi:10.7909/C3WD3xH1
• Northern California Catalog:
  • NCEDC (2014), Northern California Earthquake Data Center. UC Berkeley Seismological Laboratory. Dataset. doi:10.7932/NCEDC.
• Mixed-mode Laboratory Catalog:
  • Lin, Qing, et al. "Opening and mixed mode fracture processes in a quasi-brittle material via digital imaging." Engineering Fracture Mechanics 131 (2014): 176-193.
• ETAS Code:
  • Leila Mizrahi, Shyam Nandan, Stefan Wiemer 2021;
    Embracing Data Incompleteness for Better Earthquake Forecasting. (Section 3.1)
    Journal of Geophysical Research: Solid Earth; doi: https://doi.org/10.1029/2021JB022379

For the San Diego region, using data from the Southern California Earthquake Data Center (SCEDC), we filtered events by latitude 32.715, longitude -117.1611 within a 150 km radius, focusing on earthquake events from August 1, 2004, 00:00:00 to August 1, 2024, 00:00:00. All magnitude types and depths were included, and 21 variables were feature-engineered to enhance predictive modeling. This dataset provides a robust foundation for earthquake prediction in the San Diego area, incorporating both raw seismic data and advanced engineered features.

This code is an accompanyment to the paper: Spatial Relationships between Coseismic Slip, Aseismic Afterslip, and On-fault Aftershock Density in Continental Earthquakes. The code serves to allow reproduction of figures in the paper, and the repository also serves as a store for the data analysed. Readers are welcome to edit/adapt/incorporate the code freely, but please cite our paper. Use of, or reference to, any of the datasets included here should also be accompanied by a reference to the original source (i.e. the work by the original authors), which can be found in our paper.

The code should be run sequentially and is not unbreakable, please take care. The methods outlined in the paper give a guide to the workflow, please contact me should you have additional questions.

DATA (also referenced in the accompanying paper):

• Seismic catalogs are provided pre-processed in the folder 'catalogs'. These originate from:
  • The Northern California Earthquake Catalog (NCEC) (Waldhauser & Schaff, 2008; Waldhauser, 2009)
  • The California Integrated catalog by the Southern California Seismic Network (SCSN) (SCEDC, 2013)
  • The International Seismological Centre Bulletin (ISC)
• Slip models (coseismic slip and afterslip) are provided in the folder 'SlipModels':
  • Many of these are availible freely online and are referenced in the accompanying paper
  • Additional coseismic slip models are availible from the SRCMOD database (Mai & Thingbaijam, 2014)
  • Chris Rollins (the El Mayor Cucapah afterslip paper) and Daniele Cheloni (the L'Aquila afterslip paper) were kind enough to allow me to include their models in this repository.

Again, we thank the following individuals who provided, or helped find, coseismic and afterslip models: Roland B ̈urgmann, Daniele Cheloni, Nicola D’Agostino, Semih Ergintav, Wangpeng Feng, Elizabeth Hearn, Junle Jiang, Fred Pollitz, Chris Rollins, Elisa Trasatti, Kang Wang, Sam Wimpenny, and Han Yue.