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Seismic Phase Arrival Times of the 2015-2017 Pamir Earthquake Sequence

A sequence of three strong (MW 7.2–6.4) and several moderate (MW 4.4–5.7) earthquakes struck the Pamir Plateau and surrounding mountain ranges of Tajikistan, China, and Kyrgyzstan in 2015–2017. With a local seismic network in operation in the Xinjiang province of China since August 2015 (FDSN code 8H; Yuan et al., 2018a), an aftershock network on the Pamir Plateau of Tajikistan since February 2016 (FDSN code 9H; Yuan et al., 2018b), and additional permanent regional seismic stations (FDSN code TJ; PMP International, 2005; XJ network; SEISDMC, 2021), we were able to record the succession of the fore-, main-, and aftershock sequences at local distances with good azimuthal coverage. We here provide P and S body wave arrival times of the 11,784 relocated seismic events and additional arrival times of 18,011 seismic events that could not be located with precision. The ASCII QuakeML files (.xml; https://quake.ethz.ch/quakeml/QuakeML) consist of seismic arrival times, station and network codes, nominal arrival time uncertainties, localization residuals, and corresponding preliminary event locations. The ASCII NonLinLoc Hypocenter-Phase files (.hyp; http://alomax.free.fr/nlloc/ -> Formats -> NLLoc Hypocenter-Phase file) consist of seismic arrival times, station codes, nominal arrival time uncertainties, localization residuals, ray take-off angles and corresponding preliminary event locations.

Homogenized regional seismicity catalogue for the Marmara region, northwestern Turkey, for the time in-terval 2021-2023

The dataset is an extended and updated version of the homogenized regional earthquake catalogue of the Marmara region, north-western Turkey, presented in Wollin et al. (2018) and Becker et al. (2023). It is built on the regional Turkish seismicity catalogues provided by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute) and spans the time interval 2021-2023. All events available in these two catalogues in the wider Marmara region were combined and duplicate events removed. A total of 2242 events having at least 6 P- and/or S-picks were located using the NLLoc software (Lomax et al., 2000, 2009) in Octtree mode utilizing automatic picks obtained with the PhaseNet algorithm (Zhu & Beroza, 2019) for all available waveforms. The magnitude range is between M0.5 and M5.1 and covers mainly the area 40.00S-41.25S and 27.00E-30.00E which was used as search region for the regional catalogs. The full description of the data and methods is provided in the data description file.

Catalog of Start and End Times of Tremor-Like Episodes Near the Epicenter of the 2023 Mw 7.8 Türkiye Earthquake (12 August 2022 – 6 February 2023)

This dataset accompanies our study on tremor-like episodes that we discovered in the low-frequency seismic signals preceding the 2023 Mw 7.8 Kahramanmaraş earthquake in Türkiye. Between 12 August 2022 and 6 February 2023, eight months before the mainshock, we identified tremor-like episodes recorded at five seismic stations (NAR, KHMR, MGND, GAZ, and GZT) within a 46 km radius of the mainshock epicenter. Using seismic data from the NAR station (the closest to the mainshock) bandpass-filtered between 1.7 and 2.2 Hz, we identified the start and end times of 3741 tremor-like episodes, resulting in a catalog of 7482 markers. This catalog forms the foundation of the statistical analyses presented in Zali et al. (2025). Additionally, we manually picked the first arrival times of 162 selected pulses recorded between 24 and 31 December 2022 from these episodes across the five stations. Our analysis suggests that these tremor-like episodes originate from an anthropogenic source, likely associated with activities of cement plants located on the Narlı Fault, which hosted the earthquake epicenter. This data publication provides the catalog of start and end times for 3741 tremor-like episodes at the NAR station and the first arrival times of 162 selected pulses recorded at the five stations.

Enhanced earthquake catalog (2017–February 5, 2023) for the epicentral region of the 2023 Mw 7.8 Kahramanmaraş earthquake, Türkiye

This earthquake catalog was constructed using a combination of artificial intelligence and traditional methods for phase picking, phase association, and earthquake relocation. It covers the period from January 1, 2017, to February 5, 2023—one day prior to the Mw 7.8 earthquake that struck Türkiye. The dataset includes three subsets: 1) Raw Catalog: Comprises 14,128 events obtained from the full association and relocation process, without filtering based on event type or location quality. 2) Earthquake Catalog: Comprises 5,721 tectonic events with well-constrained hypocenters (68% confidence ellipsoid semi-major axis < 8 km and depth < 15 km). 3) Anthropogenic Catalog: Comprises 1,695 human-induced events, primarily quarry blasts, also with well-constrained hypocenters (68% confidence ellipsoid semi-major axis < 8 km and depth < 15 km).

Seismicity catalogue for the Eastern Alps (Swath-D)

We present a new, consistently processed seismicity catalogue for the Eastern and Southern Alps, based on the temporary dense Swath-D monitoring network. The final catalogue includes 6,053 earthquakes for the time period 2017-2019 and has a magnitude of completeness of −1.0ML. The smallest detected and located events have a magnitude of −1.7ML. Aimed at the low to moderate seismicity in the study region, we generated a multi-level, mostly automatic workflow which combines a priori information from local catalogues and waveform-based event detection, subsequent efficient GPU-based event search by template matching, P & S arrival time pick refinement and location in a regional 3-D velocity model. The resulting seismicity distribution generally confirms the previously identified main seismically active domains, but provides increased resolution of the fault activity at depth. In particular, the high number of small events additionally detected by the template search contributes to a more dense catalogue, providing an important basis for future geological and tectonic studies in this complex part of the Alpine orogen.

Source parameters of earthquakes in the Sea of Marmara region, Türkiye, during 2006-2020

This dataset contains the estimated source parameters using both Spectral Fitting (SF) method and Generalized Inversion Technique (GIT) for 1,577 earthquakes with magnitude ML1.0-5.7 during the time span 2006-2020 in the Sea of Marmara region. The study area surrounds the Sea of Marmara, close to the megacity Istanbul, with longitudes ranging from 27.3° to 29.35° and latitudes ranging from 40.5° to 40.9°. Source parameters including seismic moment (M_0^SF), corner frequency (f_c^SF), quality factor (Q^SF), and Brune stress drop (∆σ^SF), are estimated and calculated using SF approach (Kwiatek et al., 2011, 2014, 2015) with the Simplex method applied in the optimization process (Nelder & Mead, 1965); source parameters from GIT approach including seismic moment (M_0^GIT), corner frequency (f_c^GIT), and Brune stress drop (∆σ^GIT) are also calculated for the same events. The event information, i.e., event date, original time, event longitude, latitude, depth, local magnitude, is obtained from the seismicity catalog of Becker et al. (2023).

Spectra for 31 M_L≥3.5 earthquakes in the Sea of Marmara region, Türkiye, during 2006-2020

This dataset contains spectra for 31 M_L≥3.5 earthquakes in the Sea of Marmara region and spectra for their empirical Green’s functions (EGFs), used for earthquake directivity analysis. The study area surrounds the Sea of Marmara, close to Istanbul metropolis, with longitudes from 27.3° to 29.35° and latitudes from 40.5° to 40.9°. The ground velocity spectra were calculated using Fourier transform for three-component S-wave segments. The event information was obtained from the seismicity catalog of Becker et al. (2023). Detailed information about the earthquake directivity analysis can be found in the related study.

Machine learning based aftershock catalogs of the Mw 7.8, February 6th, 2023, Karamanmaras earthquake

The dataset contains three seismicity catalogs covering the first 5 days of the aftershock sequence of the Mw 7.8 Karamanmaraş and Mw 7.6 Elbistan earthquakes that occurred in Türkiye on February 6th, 2023. The catalogs are derived from machine learning (ML) approaches operating on continuous data from 38 permanent seismological stations covering the area of the aftershock sequence and span the time interval 06.02.2023-10.02.2023. The seismological stations are operated by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute). Automatic P- and S-phase picks were obtained using the deep learning PhaseNet software (Zhu & Beroza, 2019), and either GaMMA (Zhu et al., 2022) or GENIE (McBrearty & Beroza, 2023) routines were used to associate these phases into seismic events. The probabilitic NLLoc earthquake location software (Lomax et al., 2009) was used to produce single event locations and final relative relocations were obtained after applying the hypoDD software (Waldhauser & Ellsworth, 2000). This resulted in two single event location NLLoc aftershock catalogs based on GaMMA and GENIE event association and containing 17,550 and 14,805 event detections in the time interval 06.02.2023 01:18 UTC - 11.02.2023 00:00 UTC, respectively. The hypoDD based catalog of better constrained relative relocations contains 5,215 events. The magnitude range is between M-0.1 and M6.9 with time-variable magnitude of completeness. The catalog covers the area 36.00S-39.00S and 35.40E-40.00E. The full description of the data and methods is provided in the data description file.

Acoustic Emission and Seismic moment tensor catalogs associated with triaxial stick-slip experiments performed on Westerly Granite samples

The dataset contains source parameters of acoustic emission (AE) events recorded during triaxial friction (stick-slip) experiments performed on the Westerly Granite sample WgN05. In addition we provide raw waveform data of AE events recorded in triggered mode with a network of 16 AE sensors. Basic seismic catalog associated with the stick-slip experiment contains origin time, hypocentral location in local Cartesian coordinate system of the sample (with associated uncertainties), and AE-derived magnitude. In addition, for a subset of AEs we provide full moment tensors. This catalog include information on fault parameters (strike, dip and rake of the two nodal planes), percentage of isotropic, compensated linear vector dipole and double-couple components of the full moment tensor, P, T, B axes orientations in the coordinate system of the sample, uncertainty assessment, as well as the six independent moment tensor components. Finally, we provide a time series of axial stress values as presented in the Kwiatek et al. (2023) as well as the coordinates of the AE sensors. The catalog and parametric data is supplemented with the raw waveform recordings stored in HDF5 format from 16 acoustic emission sensors placed on the surface of the sample.

Earthquake Explorer

The Earthquake Explorer application was developed at GFZ to provide rapid information on recent earthquakes worldwide as well as earlier earthquakes back to August 2007. It combines a zoomable and configurable map overview of activity with a highly customizable filter with more detailed information on dedicated pages for each event. Currently included are: (1) Location and magnitude estimates. First automatic estimates are usually available a few minutes after the origin time, with a subset of events later reviewed manually. (2) Moment tensor solutions (for larger events only). Currently these are all manually reviewed. They improve the understanding of earthquakes because they are a direct snapshot of the deformation of the surrounding rock by the seismicity. (3) Predicted shake maps (predicted ground motion) for each event based on event parameters and an estimate of the tectonic environment. Additional information about recent events will be included in future developments of the Earthquake Explorer platform. The Earthquake Explorer is open-source, and uses the Data Analytics Software Framework (DASF).

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