Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-3089-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3089-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A high-quality data set for seismological studies in the East Anatolian Fault Zone, Türkiye
Leonardo Colavitti
CORRESPONDING AUTHOR
Department of Earth, Environmental and Life Sciences – DISTAV, University of Genoa, Genoa, Italy
Dino Bindi
German Research Center for Geoscience – GFZ, Potsdam, Germany
Gabriele Tarchini
Department of Earth, Environmental and Life Sciences – DISTAV, University of Genoa, Genoa, Italy
National Institute of Oceanography and Applied Geophysics – OGS, Trieste, Italy
Davide Scafidi
Department of Earth, Environmental and Life Sciences – DISTAV, University of Genoa, Genoa, Italy
Matteo Picozzi
National Institute of Oceanography and Applied Geophysics – OGS, Trieste, Italy
Physics Department “Ettore Pancini”, University of Naples Federico II, Naples, Italy
Daniele Spallarossa
Department of Earth, Environmental and Life Sciences – DISTAV, University of Genoa, Genoa, Italy
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Marco Massa, Andrea Luca Rizzo, Davide Scafidi, Elisa Ferrari, Sara Lovati, Lucia Luzi, and MUDA working group
Earth Syst. Sci. Data, 16, 4843–4867, https://doi.org/10.5194/essd-16-4843-2024, https://doi.org/10.5194/essd-16-4843-2024, 2024
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MUDA (geophysical and geochemical MUltiparametric DAtabase) is a new infrastructure of the National Institute of Geophysics and Volcanology serving geophysical and geochemical multiparametric data. MUDA collects information from different sensors, such as seismometers, accelerometers, hydrogeochemical sensors, meteorological stations and sensors for the flux of carbon dioxide and radon gas, with the aim of making correlations between seismic phenomena and variations in environmental parameters.
Davide Scafidi, Alfio Viganò, Jacopo Boaga, Valeria Cascone, Simone Barani, Daniele Spallarossa, Gabriele Ferretti, Mauro Carli, and Giancarlo De Marchi
Nat. Hazards Earth Syst. Sci., 24, 1249–1260, https://doi.org/10.5194/nhess-24-1249-2024, https://doi.org/10.5194/nhess-24-1249-2024, 2024
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Our paper concerns the use of a dense network of low-cost seismic accelerometers in populated areas to achieve rapid and reliable estimation of exposure maps in Trentino (northeast Italy). These additional data, in conjunction with the automatic monitoring procedure, allow us to obtain dense measurements which only rely on actual recorded data, avoiding the use of ground motion prediction equations. This leads to a more reliable picture of the actual ground shaking.
Dino Bindi, Riccardo Zaccarelli, Angelo Strollo, Domenico Di Giacomo, Andres Heinloo, Peter Evans, Fabrice Cotton, and Frederik Tilmann
Earth Syst. Sci. Data, 16, 1733–1745, https://doi.org/10.5194/essd-16-1733-2024, https://doi.org/10.5194/essd-16-1733-2024, 2024
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The size of an earthquake is often described by a single number called the magnitude. Among the possible magnitude scales, the seismic moment (Mw) and the radiated energy (Me) scales are based on physical parameters describing the rupture process. Since these two magnitude scales provide complementary information that can be used for seismic hazard assessment and for seismic risk mitigation, we complement the Mw catalog disseminated by the GEOFON Data Centre with Me values.
Simone Barani, Gabriele Ferretti, and Davide Scafidi
Nat. Hazards Earth Syst. Sci., 23, 1685–1698, https://doi.org/10.5194/nhess-23-1685-2023, https://doi.org/10.5194/nhess-23-1685-2023, 2023
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In the present study, we analyze ground-motion hazard maps and hazard disaggregation in order to define areas in Italy where liquefaction triggering due to seismic activity can not be excluded. The final result is a screening map for all of Italy that classifies sites in terms of liquefaction triggering potential according to their seismic hazard level. The map and the associated data are freely accessible at the following web address: www.distav.unige.it/rsni/milq.php.
S. Tyagunov, M. Pittore, M. Wieland, S. Parolai, D. Bindi, K. Fleming, and J. Zschau
Nat. Hazards Earth Syst. Sci., 14, 1625–1640, https://doi.org/10.5194/nhess-14-1625-2014, https://doi.org/10.5194/nhess-14-1625-2014, 2014
Related subject area
Domain: ESSD – Land | Subject: Geophysics and geodesy
The Italian Archive of Historical Earthquake Data, ASMI
Regional-scale shear-wave velocity profiles for ground response analyses and uncertainty evaluations – the Piedmont region (northwest Italy) database
Seismic survey in an urban area: the activities of the EMERSITO INGV emergency group in Ancona (Italy) following the 2022 Mw 5.5 Costa Marchigiana–Pesarese earthquake
Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)
Airborne gravimetry with quantum technology: observations from Iceland and Greenland
A comprehensive integrated macroseismic dataset from multiple earthquake studies
Rescue, Integration, and Analytical Application of historical data from eight pioneering geomagnetic observatories in China
GravIS: mass anomaly products from satellite gravimetry
cigFacies: a massive-scale benchmark dataset of seismic facies and its application
GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach
Synthetic ground motions in heterogeneous geologies from various sources: the HEMEWS-3D database
cigChannel: A massive-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation
HUST-Grace2024: a new GRACE-only gravity field time series based on more than 20 years of satellite geodesy data and a hybrid processing chain
A new repository of electrical resistivity tomography and ground-penetrating radar data from summer 2022 near Ny-Ålesund, Svalbard
Enriching the GEOFON seismic catalog with automatic energy magnitude estimations
AIUB-GRACE gravity field solutions for G3P: processing strategies and instrument parameterization
GPS displacement dataset for the study of elastic surface mass variations
Global Navigation Satellite System (GNSS) time series and velocities about a slowly convergent margin processed on high-performance computing (HPC) clusters: products and robustness evaluation
TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022)
Comprehensive data set of in situ hydraulic stimulation experiments for geothermal purposes at the Äspö Hard Rock Laboratory (Sweden)
An earthquake focal mechanism catalog for source and tectonic studies in Mexico from February 1928 to July 2022
Global physics-based database of injection-induced seismicity
The Weisweiler passive seismological network: optimised for state-of-the-art location and imaging methods
A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021
Moho depths beneath the European Alps: a homogeneously processed map and receiver functions database
DL-RMD: a geophysically constrained electromagnetic resistivity model database (RMD) for deep learning (DL) applications
The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science
In situ stress database of the greater Ruhr region (Germany) derived from hydrofracturing tests and borehole logs
The European Preinstrumental Earthquake Catalogue EPICA, the 1000–1899 catalogue for the European Seismic Hazard Model 2020
Rescue and quality control of historical geomagnetic measurement at Sheshan observatory, China
A newly integrated ground temperature dataset of permafrost along the China–Russia crude oil pipeline route in Northeast China
In situ observations of the Swiss periglacial environment using GNSS instruments
Permafrost changes in the northwestern Da Xing'anling Mountains, Northeast China, in the past decade
British Antarctic Survey's aerogeophysical data: releasing 25 years of airborne gravity, magnetic, and radar datasets over Antarctica
Andrea Rovida, Mario Locati, Andrea Antonucci, and Romano Camassi
Earth Syst. Sci. Data, 17, 3109–3124, https://doi.org/10.5194/essd-17-3109-2025, https://doi.org/10.5194/essd-17-3109-2025, 2025
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ASMI, the Italian Archive of Historical Earthquake Data, is an online data collection that currently provides seismological data on earthquakes that occurred in and around Italy from from 461 BCE to 2025 CE. Based on more than 450 data sources, ASMI's web portal distributes earthquake parameters and macroseismic intensity data, along with the bibliographical reference of the data source and – if possible – the data source itself, through queries by both earthquake and data source.
Cesare Comina, Guido Maria Adinolfi, Carlo Bertok, Andrea Bertea, Vittorio Giraud, and Pierluigi Pieruccini
Earth Syst. Sci. Data, 17, 2175–2191, https://doi.org/10.5194/essd-17-2175-2025, https://doi.org/10.5194/essd-17-2175-2025, 2025
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Estimates of earthquake ground motion rely on evaluating soil and rock profiles, with shear-wave velocity (Vs) as a key factor. Uncertainty in Vs impacts seismic hazard predictions. Stochastic procedures model this uncertainty but must be calibrated using detailed geological data and Vs databases. This paper provides a new Vs profile database for Piedmont (northwest Italy), integrating geological modelling and geophysical data and supporting similar studies in other regions.
Daniela Famiani, Fabrizio Cara, Giuseppe Di Giulio, Giovanna Cultrera, Francesca Pacor, Sara Lovati, Gaetano Riccio, Maurizio Vassallo, Giulio Brunelli, Antonio Costanzo, Antonella Bobbio, Marta Pischiutta, Rodolfo Puglia, Marco Massa, Rocco Cogliano, Salomon Hailemikael, Alessia Mercuri, Giuliano Milana, Luca Minarelli, Alessandro Di Filippo, Lucia Nardone, Simone Marzorati, Chiara Ladina, Debora Pantaleo, Carlo Calamita, Maria Grazia Ciaccio, Antonio Fodarella, Stefania Pucillo, Giuliana Mele, Carla Bottari, Gaetano De Luca, Luigi Falco, Antonino Memmolo, Giulia Sgattoni, and Gabriele Tarabusi
Earth Syst. Sci. Data, 17, 2087–2112, https://doi.org/10.5194/essd-17-2087-2025, https://doi.org/10.5194/essd-17-2087-2025, 2025
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This paper describes data and preliminary analyses made by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) emergency task force EMERSITO, devoted to site effects and seismic microzonation studies, following the 9 November 2022 strong earthquake localized in the Adriatic Sea (Italy). Considering the affected area, EMERSITO deployed, from November 2022 to February 2023, a temporary seismic network of 11 stations (net code 6N) which sampled different geological units in the urban area of Ancona.
Peyman Saemian, Omid Elmi, Molly Stroud, Ryan Riggs, Benjamin M. Kitambo, Fabrice Papa, George H. Allen, and Mohammad J. Tourian
Earth Syst. Sci. Data, 17, 2063–2085, https://doi.org/10.5194/essd-17-2063-2025, https://doi.org/10.5194/essd-17-2063-2025, 2025
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Our study addresses the need for better river discharge data, crucial for water management, by expanding global gauge networks with satellite data. We used satellite altimetry to estimate river discharge for over 8700 stations worldwide, filling gaps in existing records. Our data set, SAEM, supports a better understanding of water systems, helping to manage water resources more effectively, especially in regions with limited monitoring infrastructure.
Eric Buchta, Mirko Scheinert, Matt A. King, Terry Wilson, Achraf Koulali, Peter J. Clarke, Demián Gómez, Eric Kendrick, Christoph Knöfel, and Peter Busch
Earth Syst. Sci. Data, 17, 1761–1780, https://doi.org/10.5194/essd-17-1761-2025, https://doi.org/10.5194/essd-17-1761-2025, 2025
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Geodetic GPS measurements in Antarctica have been used to track bedrock displacement, which is vital for understanding geodynamic processes such as plate motion and glacial isostatic adjustment. However, the potential of GPS data has been limited by its partially fragmented availability and unreliable metadata. A new dataset, which spans the period from 1995 to 2021, offers consistently processed coordinate time series for 286 GPS sites and promises to enhance future geodynamic research.
Tim Enzlberger Jensen, Bjørnar Dale, Andreas Stokholm, René Forsberg, Alexandre Bresson, Nassim Zahzam, Alexis Bonnin, and Yannick Bidel
Earth Syst. Sci. Data, 17, 1667–1684, https://doi.org/10.5194/essd-17-1667-2025, https://doi.org/10.5194/essd-17-1667-2025, 2025
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The availability of data from two airborne gravity campaigns using sensors based on both classical and quantum technology is presented. Data are made available by the European Space Agency as raw, intermediate, and final data products. Here “raw” refers to the sensor output, while “final” refers to the along-track gravity estimates. This makes the data relevant for users interested in applications ranging from data processing and quantum studies to geophysical studies using gravity observations.
Andrea Tertulliani, Andrea Antonucci, Filippo Bernardini, Viviana Castelli, Emanuela Ercolani, Laura Graziani, Alessandra Maramai, Martina Orlando, Antonio Rossi, and Tiziana Tuvè
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-10, https://doi.org/10.5194/essd-2025-10, 2025
Revised manuscript accepted for ESSD
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We present the results of a rapid and reliable study of 45 Italian earthquakes and characterized by datasets with potential inconsistencies or inhomogeneities. The used methodology obviates the need for exhaustive earthquake re-evaluation, and it is particularly effective for the updating of medium-low events, with a large number of low-intensity data. The result is a new dataset very useful to improve “seismic histories” and to contribute to enhance the seismic hazard of an area.
Suqin Zhang, Changhua Fu, Jianjun Wang, Chuanhua Chen, Guohao Zhu, Qian Zhao, Jun Chen, Shaopeng He, Bin Wang, Pengkun Guo, Na Deng, Jinghui Lu, and Hongchi Yu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-6, https://doi.org/10.5194/essd-2025-6, 2025
Revised manuscript accepted for ESSD
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The objective of this study is to rescue and integrate historical data from eight pioneering geomagnetic observatories in China. Data quality is significantly improved through integration. The integrated dataset is now publicly available for easy access and use by the academic community and the public. These datasets are of great significance for optimizing historical geomagnetic field models, investigating changing magnetic fields, the main geomagnetic field.
Christoph Dahle, Eva Boergens, Ingo Sasgen, Thorben Döhne, Sven Reißland, Henryk Dobslaw, Volker Klemann, Michael Murböck, Rolf König, Robert Dill, Mike Sips, Ulrike Sylla, Andreas Groh, Martin Horwath, and Frank Flechtner
Earth Syst. Sci. Data, 17, 611–631, https://doi.org/10.5194/essd-17-611-2025, https://doi.org/10.5194/essd-17-611-2025, 2025
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GRACE and GRACE-FO are unique observing systems to quantify mass changes at the Earth’s surface from space. Time series of these mass changes are of high value for various applications, e.g., in hydrology, glaciology, and oceanography. GravIS (Gravity Information Service) provides easy access to user-friendly, regularly updated mass anomaly products. The portal visualizes and describes these data, aiming to highlight their significance for understanding changes in the climate system.
Hui Gao, Xinming Wu, Xiaoming Sun, Mingcai Hou, Hang Gao, Guangyu Wang, and Hanlin Sheng
Earth Syst. Sci. Data, 17, 595–609, https://doi.org/10.5194/essd-17-595-2025, https://doi.org/10.5194/essd-17-595-2025, 2025
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We propose three strategies for field seismic data curation, knowledge-guided synthesization, and generative adversarial network (GAN)-based generation to construct a massive-scale, feature-rich, and high-realism benchmark dataset of seismic facies and evaluate its effectiveness in training a deep-learning model for automatic seismic facies classification.
Zhengwen Yan, Jiangjun Ran, Pavel Ditmar, C. K. Shum, Roland Klees, Patrick Smith, and Xavier Fettweis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-512, https://doi.org/10.5194/essd-2024-512, 2025
Revised manuscript accepted for ESSD
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The Gravity Recovery And Climate Experiment (GRACE) mission has greatly improved our understanding of changes in Earth's gravity field over time. A novel mass concentration (mascon) dataset, GCL-Mascon2024, was determined by leveraging the short-arc approach, advanced spatial constraints, frequency-dependent noise processing strategy, and parameterization integrating natural boundaries, which aims to enhance accuracy for monitoring mass transportation on Earth.
Fanny Lehmann, Filippo Gatti, Michaël Bertin, and Didier Clouteau
Earth Syst. Sci. Data, 16, 3949–3972, https://doi.org/10.5194/essd-16-3949-2024, https://doi.org/10.5194/essd-16-3949-2024, 2024
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Numerical simulations are a promising approach to characterizing the intensity of ground motion in the presence of geological uncertainties. However, the computational cost of 3D simulations can limit their usability. We present the first database of seismic-induced ground motion generated by an earthquake simulator for a collection of 30 000 heterogeneous geologies. The HEMEWS-3D dataset can be helpful for geophysicists, seismologists, and machine learning scientists, among others.
Guangyu Wang, Xinming Wu, and Wen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-131, https://doi.org/10.5194/essd-2024-131, 2024
Revised manuscript accepted for ESSD
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Seismic paleochannel interpretation is essential for hydrocarbon exploration and paleoclimate studies but remains labor-intensive. Deep learning (DL) is promising to automate it but hindered by the lack of labeled data. We propose a workflow to simulate various channels and realistic seismic volumes, yielding the largest 3D seismic dataset with diverse channel labels. Its effectiveness is proven by field applications. The dataset, codes and DL models are released to advance further research.
Hao Zhou, Lijun Zheng, Yaozong Li, Xiang Guo, Zebing Zhou, and Zhicai Luo
Earth Syst. Sci. Data, 16, 3261–3281, https://doi.org/10.5194/essd-16-3261-2024, https://doi.org/10.5194/essd-16-3261-2024, 2024
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The satellite gravimetry mission Gravity Recovery and Climate Experiment (GRACE) and its follower GRACE-FO play a vital role in monitoring mass transportation on Earth. Based on the latest observation data derived from GRACE and GRACE-FO and an updated data processing chain, a new monthly temporal gravity field series, HUST-Grace2024, was determined.
Francesca Pace, Andrea Vergnano, Alberto Godio, Gerardo Romano, Luigi Capozzoli, Ilaria Baneschi, Marco Doveri, and Alessandro Santilano
Earth Syst. Sci. Data, 16, 3171–3192, https://doi.org/10.5194/essd-16-3171-2024, https://doi.org/10.5194/essd-16-3171-2024, 2024
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We present the geophysical data set acquired close to Ny-Ålesund (Svalbard islands) for the characterization of glacial and hydrological processes and features. The data have been organized in a repository that includes both raw and processed (filtered) data and some representative results of 2D models of the subsurface. This data set can foster multidisciplinary scientific collaborations among many disciplines: hydrology, glaciology, climatology, geology, geomorphology, etc.
Dino Bindi, Riccardo Zaccarelli, Angelo Strollo, Domenico Di Giacomo, Andres Heinloo, Peter Evans, Fabrice Cotton, and Frederik Tilmann
Earth Syst. Sci. Data, 16, 1733–1745, https://doi.org/10.5194/essd-16-1733-2024, https://doi.org/10.5194/essd-16-1733-2024, 2024
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The size of an earthquake is often described by a single number called the magnitude. Among the possible magnitude scales, the seismic moment (Mw) and the radiated energy (Me) scales are based on physical parameters describing the rupture process. Since these two magnitude scales provide complementary information that can be used for seismic hazard assessment and for seismic risk mitigation, we complement the Mw catalog disseminated by the GEOFON Data Centre with Me values.
Neda Darbeheshti, Martin Lasser, Ulrich Meyer, Daniel Arnold, and Adrian Jäggi
Earth Syst. Sci. Data, 16, 1589–1599, https://doi.org/10.5194/essd-16-1589-2024, https://doi.org/10.5194/essd-16-1589-2024, 2024
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This paper discusses strategies to improve the GRACE gravity field monthly solutions computed at the Astronomical Institute of the University of Bern. We updated the input observations and background models, as well as improving processing strategies in terms of instrument data screening and instrument parameterization.
Athina Peidou, Donald F. Argus, Felix W. Landerer, David N. Wiese, and Matthias Ellmer
Earth Syst. Sci. Data, 16, 1317–1332, https://doi.org/10.5194/essd-16-1317-2024, https://doi.org/10.5194/essd-16-1317-2024, 2024
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This study recommends a framework for preparing and processing vertical land displacements derived from GPS positioning for future integration with Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) measurements. We derive GPS estimates that only reflect surface mass signals and evaluate them against GRACE (and GRACE-FO). We also quantify uncertainty of GPS vertical land displacement estimates using various uncertainty quantification methods.
Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani
Earth Syst. Sci. Data, 16, 1083–1106, https://doi.org/10.5194/essd-16-1083-2024, https://doi.org/10.5194/essd-16-1083-2024, 2024
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This study presents 20-year time series of more than 350 GNSS stations located in NE Italy and surroundings, together with the outgoing velocities. An overview of the input data, station information, data processing and solution quality is provided. The documented dataset constitutes a crucial and complete source of information about the deformation of an active but slowly converging margin over the last 2 decades, also contributing to the regional seismic hazard assessment of NE Italy.
Wenbin Tang, Ji Zhou, Jin Ma, Ziwei Wang, Lirong Ding, Xiaodong Zhang, and Xu Zhang
Earth Syst. Sci. Data, 16, 387–419, https://doi.org/10.5194/essd-16-387-2024, https://doi.org/10.5194/essd-16-387-2024, 2024
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This paper reported a daily 1 km all-weather land surface temperature (LST) dataset for Chinese land mass and surrounding areas – TRIMS LST. The results of a comprehensive evaluation show that TRIMS LST has the following special features: the longest time coverage in its class, high image quality, and good accuracy. TRIMS LST has already been released to the scientific community, and a series of its applications have been reported by the literature.
Arno Zang, Peter Niemz, Sebastian von Specht, Günter Zimmermann, Claus Milkereit, Katrin Plenkers, and Gerd Klee
Earth Syst. Sci. Data, 16, 295–310, https://doi.org/10.5194/essd-16-295-2024, https://doi.org/10.5194/essd-16-295-2024, 2024
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We present experimental data collected in 2015 at Äspö Hard Rock Laboratory. We created six cracks in a rock mass by injecting water into a borehole. The cracks were monitored using special sensors to study how the water affected the rock. The goal of the experiment was to figure out how to create a system for generating heat from the rock that is better than what has been done before. The data collected from this experiment are important for future research into generating energy from rocks.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Earth Syst. Sci. Data, 15, 4781–4801, https://doi.org/10.5194/essd-15-4781-2023, https://doi.org/10.5194/essd-15-4781-2023, 2023
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We present a comprehensive catalog of focal mechanisms for earthquakes in Mexico and neighboring areas spanning February 1928 to July 2022. The catalog comprises a wide range of earthquake magnitudes and depths and includes data from diverse geological environments. We collected and revised focal mechanism data from various sources and methods. The catalog is a valuable resource for future studies on earthquake source mechanisms, tectonics, and seismic hazard in the region.
Iman R. Kivi, Auregan Boyet, Haiqing Wu, Linus Walter, Sara Hanson-Hedgecock, Francesco Parisio, and Victor Vilarrasa
Earth Syst. Sci. Data, 15, 3163–3182, https://doi.org/10.5194/essd-15-3163-2023, https://doi.org/10.5194/essd-15-3163-2023, 2023
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Induced seismicity has posed significant challenges to secure deployment of geo-energy projects. Through a review of published documents, we present a worldwide, multi-physical database of injection-induced seismicity. The database contains information about in situ rock, tectonic and geologic characteristics, operational parameters, and seismicity for various subsurface energy-related activities. The data allow for an improved understanding and management of injection-induced seismicity.
Claudia Finger, Marco P. Roth, Marco Dietl, Aileen Gotowik, Nina Engels, Rebecca M. Harrington, Brigitte Knapmeyer-Endrun, Klaus Reicherter, Thomas Oswald, Thomas Reinsch, and Erik H. Saenger
Earth Syst. Sci. Data, 15, 2655–2666, https://doi.org/10.5194/essd-15-2655-2023, https://doi.org/10.5194/essd-15-2655-2023, 2023
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Passive seismic analyses are a key technology for geothermal projects. The Lower Rhine Embayment, at the western border of North Rhine-Westphalia in Germany, is a geologically complex region with high potential for geothermal exploitation. Here, we report on a passive seismic dataset recorded with 48 seismic stations and a total extent of 20 km. We demonstrate that the network design allows for the application of state-of-the-art seismological methods.
Jia-Hao Li, Zhao-Liang Li, Xiangyang Liu, and Si-Bo Duan
Earth Syst. Sci. Data, 15, 2189–2212, https://doi.org/10.5194/essd-15-2189-2023, https://doi.org/10.5194/essd-15-2189-2023, 2023
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The Advanced Very High Resolution Radiometer (AVHRR) is the only sensor that has the advantages of frequent revisits (twice per day), relatively high spatial resolution (4 km at the nadir), global coverage, and easy access prior to 2000. This study developed a global historical twice-daily LST product for 1981–2021 based on AVHRR GAC data. The product is suitable for detecting and analyzing climate changes over the past 4 decades.
Konstantinos Michailos, György Hetényi, Matteo Scarponi, Josip Stipčević, Irene Bianchi, Luciana Bonatto, Wojciech Czuba, Massimo Di Bona, Aladino Govoni, Katrin Hannemann, Tomasz Janik, Dániel Kalmár, Rainer Kind, Frederik Link, Francesco Pio Lucente, Stephen Monna, Caterina Montuori, Stefan Mroczek, Anne Paul, Claudia Piromallo, Jaroslava Plomerová, Julia Rewers, Simone Salimbeni, Frederik Tilmann, Piotr Środa, Jérôme Vergne, and the AlpArray-PACASE Working Group
Earth Syst. Sci. Data, 15, 2117–2138, https://doi.org/10.5194/essd-15-2117-2023, https://doi.org/10.5194/essd-15-2117-2023, 2023
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We examine the spatial variability of the crustal thickness beneath the broader European Alpine region by using teleseismic earthquake information (receiver functions) on a large amount of seismic waveform data. We compile a new Moho depth map of the broader European Alps and make our results freely available. We anticipate that our results can potentially provide helpful hints for interdisciplinary imaging and numerical modeling studies.
Muhammad Rizwan Asif, Nikolaj Foged, Thue Bording, Jakob Juul Larsen, and Anders Vest Christiansen
Earth Syst. Sci. Data, 15, 1389–1401, https://doi.org/10.5194/essd-15-1389-2023, https://doi.org/10.5194/essd-15-1389-2023, 2023
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To apply a deep learning (DL) algorithm to electromagnetic (EM) methods, subsurface resistivity models and/or the corresponding EM responses are often required. To date, there are no standardized EM datasets, which hinders the progress and evolution of DL methods due to data inconsistency. Therefore, we present a large-scale physics-driven model database of geologically plausible and EM-resolvable subsurface models to incorporate consistency and reliability into DL applications for EM methods.
Médéric Gravelle, Guy Wöppelmann, Kevin Gobron, Zuheir Altamimi, Mikaël Guichard, Thomas Herring, and Paul Rebischung
Earth Syst. Sci. Data, 15, 497–509, https://doi.org/10.5194/essd-15-497-2023, https://doi.org/10.5194/essd-15-497-2023, 2023
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We produced a reanalysis of GNSS data near tide gauges worldwide within the International GNSS Service. It implements advances in data modelling and corrections, extending the record length by about 7 years. A 28 % reduction in station velocity uncertainties is achieved over the previous solution. These estimates of vertical land motion at the coast supplement data from satellite altimetry or tide gauges for an improved understanding of sea level changes and their impacts along coastal areas.
Michal Kruszewski, Gerd Klee, Thomas Niederhuber, and Oliver Heidbach
Earth Syst. Sci. Data, 14, 5367–5385, https://doi.org/10.5194/essd-14-5367-2022, https://doi.org/10.5194/essd-14-5367-2022, 2022
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The authors assemble an in situ stress magnitude and orientation database based on 429 hydrofracturing tests that were carried out in six coal mines and two coal bed methane boreholes between 1986 and 1995 within the greater Ruhr region (Germany). Our study summarises the results of the extensive in situ stress test campaign and assigns quality to each data record using the established quality ranking schemes of the World Stress Map project.
Andrea Rovida, Andrea Antonucci, and Mario Locati
Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, https://doi.org/10.5194/essd-14-5213-2022, 2022
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EPICA is the 1000–1899 catalogue compiled for the European Seismic Hazard Model 2020 and contains 5703 earthquakes with Mw ≥ 4.0. It relies on the data of the European Archive of Historical Earthquake Data (AHEAD), both macroseismic intensities from historical seismological studies and parameters from regional catalogues. For each earthquake, the most representative datasets were selected and processed in order to derive harmonised parameters, both from intensity data and parametric catalogues.
Suqin Zhang, Changhua Fu, Jianjun Wang, Guohao Zhu, Chuanhua Chen, Shaopeng He, Pengkun Guo, and Guoping Chang
Earth Syst. Sci. Data, 14, 5195–5212, https://doi.org/10.5194/essd-14-5195-2022, https://doi.org/10.5194/essd-14-5195-2022, 2022
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The Sheshan observatory has nearly 150 years of observation history, and its observation data have important scientific value. However, with time, these precious historical data face the risk of damage and loss. We have carried out a series of rescues on the historical data of the Sheshan observatory. New historical datasets were released, including the quality-controlled absolute hourly mean values of three components (D, H, and Z) from 1933 to 2019.
Guoyu Li, Wei Ma, Fei Wang, Huijun Jin, Alexander Fedorov, Dun Chen, Gang Wu, Yapeng Cao, Yu Zhou, Yanhu Mu, Yuncheng Mao, Jun Zhang, Kai Gao, Xiaoying Jin, Ruixia He, Xinyu Li, and Yan Li
Earth Syst. Sci. Data, 14, 5093–5110, https://doi.org/10.5194/essd-14-5093-2022, https://doi.org/10.5194/essd-14-5093-2022, 2022
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A permafrost monitoring network was established along the China–Russia crude oil pipeline (CRCOP) route at the eastern flank of the northern Da Xing'anling Mountains in Northeast China. The resulting datasets fill the gaps in the spatial coverage of mid-latitude mountain permafrost databases. Results show that permafrost warming has been extensively observed along the CRCOP route, and local disturbances triggered by the CRCOPs have resulted in significant permafrost thawing.
Alessandro Cicoira, Samuel Weber, Andreas Biri, Ben Buchli, Reynald Delaloye, Reto Da Forno, Isabelle Gärtner-Roer, Stephan Gruber, Tonio Gsell, Andreas Hasler, Roman Lim, Philippe Limpach, Raphael Mayoraz, Matthias Meyer, Jeannette Noetzli, Marcia Phillips, Eric Pointner, Hugo Raetzo, Cristian Scapozza, Tazio Strozzi, Lothar Thiele, Andreas Vieli, Daniel Vonder Mühll, Vanessa Wirz, and Jan Beutel
Earth Syst. Sci. Data, 14, 5061–5091, https://doi.org/10.5194/essd-14-5061-2022, https://doi.org/10.5194/essd-14-5061-2022, 2022
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This paper documents a monitoring network of 54 positions, located on different periglacial landforms in the Swiss Alps: rock glaciers, landslides, and steep rock walls. The data serve basic research but also decision-making and mitigation of natural hazards. It is the largest dataset of its kind, comprising over 209 000 daily positions and additional weather data.
Xiaoli Chang, Huijun Jin, Ruixia He, Yanlin Zhang, Xiaoying Li, Xiaoying Jin, and Guoyu Li
Earth Syst. Sci. Data, 14, 3947–3959, https://doi.org/10.5194/essd-14-3947-2022, https://doi.org/10.5194/essd-14-3947-2022, 2022
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Based on 10-year observations of ground temperatures in seven deep boreholes in Gen’he, Mangui, and Yituli’he, a wide range of mean annual ground temperatures at the depth of 20 m (−2.83 to −0.49 ℃) and that of annual maximum thawing depth (about 1.1 to 7.0 m) have been revealed. This study demonstrates that most trajectories of permafrost changes in Northeast China are ground warming and permafrost degradation, except that the shallow permafrost is cooling in Yituli’he.
Alice C. Frémand, Julien A. Bodart, Tom A. Jordan, Fausto Ferraccioli, Carl Robinson, Hugh F. J. Corr, Helen J. Peat, Robert G. Bingham, and David G. Vaughan
Earth Syst. Sci. Data, 14, 3379–3410, https://doi.org/10.5194/essd-14-3379-2022, https://doi.org/10.5194/essd-14-3379-2022, 2022
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This paper presents the release of large swaths of airborne geophysical data (including gravity, magnetics, and radar) acquired between 1994 and 2020 over Antarctica by the British Antarctic Survey. These include a total of 64 datasets from 24 different surveys, amounting to >30 % of coverage over the Antarctic Ice Sheet. This paper discusses how these data were acquired and processed and presents the methods used to standardize and publish the data in an interactive and reproducible manner.
Cited articles
Abercrombie, R. E.: Investigating uncertainties in empirical Green's function analysis of earthquake source parameters, J. Geophys. Res.-Sol. Ea., 120, 4263–4277, https://doi.org/10.1002/2015JB011984, 2015.
AFAD: Disaster and Emergency Management Presidency. National Seismic Network of Turkey (DDA), International Federation of Digital Seismograph Networks, http://tdvm.afad.gov.tr/ (last access: February 2024), 1990.
Akaike, H.: Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average process, Ann. I. Stat. Math., 26, 363–387, https://doi.org/10.1007/BF02479833, 1974.
Aki, K.: Maximum Likelihood Estimate of b in the Formula and its confidence limits, B. Earthq. Res., 43, 237–239, 1965.
Aki, K. and Richards, P. G.: Quantitative seismology, 2nd edn., Univ. Sci. Books, Sausalito, California, 700 pp., ISBN 0935702962, 2002.
Akkar, S. and Çağnan, Z.: A Local Ground-Motion Predictive Model for Turkey, and Its Comparison with Other Regional and Global Ground-Motion Models, B. Seismol. Soc. Am., 100, 2978–2995, https://doi.org/10.1785/0120090367, 2010.
Ambraseys, N.: Temporary seismic quiescence: SE Turkey, Geophys. J. Int., 96, 11–331, https://doi.org/10.1111/j.1365-246X.1989.tb04453.x., 1989.
An, Q., Feng, G., He, L., Xiong, Z., Lu, H., Wang, X., and Wei, J.: Three-Dimensional Deformation of the 2023 Turkey Mw 7.8 and Mw 7.7 Earthquake Sequence Obtained by Fusing Optical and SAR Images, Remote Sens., 15, 2656, https://doi.org/10.3390/rs15102656, 2023.
Andrews, D. J.: Objective determination of source parameters and similarity of earthquakes of different size, Earthquake Source Mechanics, 37, 259–267, https://doi.org/10.1029/GM037p0259, 1986.
Baltay, A., Abercrombie, R., Chu, S., and Taira, T.: The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence, Seismica, 3, 1, https://doi.org/10.26443/seismica.v3i1.1009, 2024.
Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann, J.: ObsPy: A Python Toolbox for Seismology, Seismol. Res. Lett., 81, 530–533, https://doi.org/10.1785/gssrl.81.3.530, 2010.
Bindi, D., Spallarossa, D., Picozzi, M., Scafidi, D., and Cotton, F.: Impact of magnitude selection on Aleatory variability associated with ground-motion prediction equations: Part I – Local, energy, and moment magnitude calibration and stress-drop variability in Central Italy, B. Seismol. Soc. Am., 108, 1427–1442, https://doi.org/10.1785/0120170356, 2018.
Bindi, D., Picozzi, M., Spallarossa, D., Cotton, F., and Kotha, S. R.: Impact of magnitude selection on Aleatory variability associated with ground motion prediction equations: Part II – Analysis of the between-event distribution in central Italy, B. Seismol. Soc. Am., 109, 251–262, https://doi.org/10.1785/0120180239, 2019.
Bindi, D., Zaccarelli, R., and Kotha, S. R.: Local and Moment Magnitude Analysis in the Ridgecrest Region, California: Impact on Interevent Ground-Motion Variability, B. Seismol. Soc. Am., 111, 339–355, https://doi.org/10.1785/0120200227, 2020.
Bindi, D., Zaccarelli, R., Cotton, F., Weatherill, G., and Kotha, S. R.: Source Scaling and Ground Motion Variability along the East Anatolian Fault, Seism. Rec., 34, 311–321, https://doi.org/10.1785/0320230034, 2023a.
Bindi, D., Spallarossa, D., Picozzi, M., Oth, A., Morasca, P., and Mayeda, K.: The Community Stress-Drop Validation Study – Part I: Source, Propagation, and Site Decomposition of Fourier Spectra, Seismol. Res. Lett., 94, 1980–1991, https://doi.org/10.1785/0220230019, 2023b.
Bindi, D., Spallarossa, D., Picozzi, M., Oth, A., Morasca, P., and Mayeda, K.: The Community Stress-Drop Validation Study – Part II: Uncertainties of the Source Parameters and Stress-Drop Analysis, Seismol. Res. Lett., 94, 1992–2002, https://doi.org/10.1785/0220230020, 2023c.
Biro, Y.: Magnitude dependency of spectral decay parameter kappa in East Anatolian Fault related events, 18th World Conference on Earthquake Engineering, 18th World Conference on Earthquake Engineering, Milan, Italy, 30 June–5 July 2024, https://proceedings-wcee.org/view.html?id=23577&conference=18WCEE (last access: 6 March 2025), 2024.
Castro, R. R., Anderson, J. G., and Singh, S. K.: Site response, attenuation and source spectra of S waves along the Guerrero, Mexico, subduction zone, B. Seismol. Soc. Am., 80, 1481–1503, 1990.
Castro, R. R., Colavitti, L., Vidales-Basurto, C. A., Pacor, F., Sgobba, S., and Lanzano, G.: Near-source attenuation and spatial variability of the spectral decay parameter kappa in central Italy, B. Seismol. Soc. Am., 93, 2299–2310, https://doi.org/10.1785/0220210276, 2022a.
Castro, R. R., Spallarossa, D., Pacor, F., Colavitti, L., Lanzano, G., Vidales-Basurto, C. A., and Sgobba, S.: Temporal variation of the spectral decay parameter kappa detected before and after the 2016 main earthquakes in central Italy, B. Seismol. Soc. Am., 112, 3037–3045, https://doi.org/10.1785/0120220107, 2022b.
Castro, R. R., Colavitti, L., Pacor, F., Lanzano, G., Sgobba, S., and Spallarossa, D.: Temporal variation of S-wave attenuation during the 2009 L'Aquila, Central Italy, seismic sequence, Geophys. J. Int., 240, 317–328, https://doi.org/10.1093/gji/ggae380, 2025.
Çıvgın, B. and Scordillis, E. M.: Investigating the consistency of online earthquake catalogs of Turkey and surroundings, J. Seismol., 23, 1255–1278, https://doi.org/10.1007/s10950-019-09863-w, 2019.
Colavitti, L., Bindi, D., Tarchini, G., Scafidi, D., Picozzi, M., and Spallarossa, D.: Data Set of selected strong motion parameters and Fourier Amplitude Spectra for the East Anatolian Fault Zone, Türkiye (January 2019–February 2024), Zenodo [data set], https://doi.org/10.5281/zenodo.13838992, 2024.
Colavitti, L., Bindi, D., Tarchini, G., Scafidi, D., Picozzi, M., and Spallarossa, D.: Code release for: “A high-quality data set for seismological studies in the East Anatolian Fault Zone, Türkiye” (v1.0.0), Zenodo [code], https://doi.org/10.5281/zenodo.15775474, 2025.
Dal Zilio, L. and Ampuero, J. P.: Earthquake doublet in Turkey and Syria, Commun. Earth Environ. 4, 71, https://doi.org/10.1038/s43247-023-00747-z, 2023.
Efron, B.: Bootstrap Methods: Another Look at the jackknife, Ann. Stat., 7, 1–26, https://doi.org/10.1214/aos/1176344552, 1979.
Gabriel, A. A., Ulrich, T., Merchandon, M., Biemiller, J., and Rekoske, J.: 3D Dynamic Rupture Modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 Earthquake Doublet Using Early Observations, Seism. Rec., 3, 342–356, 2023.
Gökalp, H.: Local earthquake tomography of the Erzincan Basin and the surrounding area in Turkey, Ann. Geophys., 50, 707–724, https://doi.org/10.4401/ag-3052, 2007.
Gökalp, H.: Tomographic imaging of the seismic structure beneath the east Anatolian Plateau, eastern Turkey, Pure Appl. Geophys., 169, 1749–1776, https://doi.org/10.1007/s00024-011-0432-x, 2012.
Güvercin, S. E.: A local earthquake tomography on the EAF shows dipping fault structure, Turk. J. Earth Sci., 32, 5, https://doi.org/10.55730/1300-0985.1845, 2023.
Güvercin, S. E., Karabulut, H., Konca, A. O., Doğan, U., and Ergintav, S.: Active seismotectonics of the East Anatolian Fault, Geophys. J. Int., 230, 50–69, https://doi.org/10.1093/gji/ggac045, 2022.
He, L., Feng, G., Xu, W., Wang, Y., Xiong, Z., Gao, H., and Liu, X.: Coseismic kinematics of the 2023 Kahramanmaras, Turkey earthquake sequence from InSAR and optical data, Geophys. Res. Lett., 50, e2023GL104693, https://doi.org/10.1029/2023GL104693, 2023.
Hutton, L. K. and Boore, D. M.: The ML scale in southern California, B. Seismol. Soc. Am., 77, 2074–2094, https://doi.org/10.1785/BSSA0770062074, 1987.
Iwata, T. and Irikura, K.: Source parameters of the 1983 Japan Sea earthquake sequence, J. Phys. Earth, 36, 155–184, https://doi.org/10.4294/jpe1952.36.155, 1988.
Kale, Ö, Akkar, S., Ansari, A., and Hamzehloo, H.: A Ground-Motion Predictive Model for Iran and Turkey for Horizontal PGA, PGV, and 5 % Damped Response Spectrum: Investigation of Possible Regional Effects, B. Seismol. Soc. Am., 105, 963–980, https://doi.org/10.1785/0120140134, 2015.
Karabulut, H., Güvercin, S. E., Hollingsworth, J., and Özgün Konca, A.: Long silence on the East Anatolian Fault Zone (Southern Turkey) ends with devastating double earthquakes (6 February 2023) over a seismic gap: implications for the seismic potential in the Eastern Mediterranean region, J. Geol. Soc., 180, jgs2023–021, https://doi.org/10.1144/jgs2023-021, 2023.
Kissling, E., Ellsworth, W. L., Eberhart-Phillips, D., and Kradolfer, U.: Initial reference models in local earthquake tomography, J. Geophys. Res.-Sol. Ea., 99, 19635–19646, https://doi.org/10.1029/93JB03138, 1994.
KO – Kandilli Observatory and Earthquake Research Institute: Boğaziçi University (KOERI) [Data set], International Federation of Digital Seismograph Networks, https://doi.org/10.7914/SN/KO, 1971.
Konno, K. and Ohmachi, T.: Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor, B. Seismol. Soc. Am., 88, 228–241, https://doi.org/10.1785/BSSA0880010228, 1998.
Koulakov, I., Bindi, D., Parolai, S., Grosser, H., and Milkereit, C.: Distribution of Seismic Velocities and Attenuation in the Crust beneath the North Anatolian Fault (Turkey) from Local Earthquake Tomography, B. Seismol. Soc. Am., 100, 207–224, https://doi.org/10.1785/0120090105, 2010.
Kwiatek, G., Martínez-Garzón, P., Becker, D., Dresen, G., Cotton, F., Beroza, G., Acarel, D., Ergintav, S., and Bohnoff, M.: Months-long seismicity transients preceding the 2023 Mw 7.8 Kahramanmaraş, earthquake, Türkiye, Nat. Commun., 14, 7534, https://doi.org/10.1038/s41467-023-42419-8, 2023.
Laporte, M., Letort, J., Bertin, M., and Bollinger, L.: Understanding earthquake location uncertainties using global sensitivity analysis framework, Geophys. J. Int., 237, 1048–1060, https://doi.org/10.1093/gji/ggae093, 2024.
Lienert, B. R. and Havskov, J.: A Computer Program for Locating Earthquakes Both Locally and Globally, Seismol. Res. Lett., 66, 26–36, https://doi.org/10.1785/gssrl.66.5.26, 1995.
Lomax, A., Virieux, J., Volant, P., and Berge-Thierry, C.: Probabilistic earthquake location in 3D and layered models: Introduction of a Metropolis-Gibbs method and comparison with linear locations, in: Advances in Seismic Event Location – Modern Approaches in Geophysics, edited by: Thurber, C. H. and Rabinowitz, Kluwer Academic Publishers, 101–134, https://doi.org/10.1007/978-94-015-9536-0_5, 2000.
Lomax, A., Satriano, C., and Vassallo, M.: Automatic picker developments and optimization: FilterPicker – a robust, broadband picker for real-time seismic monitoring and earthquake early warning, Seismol. Res. Lett., 83, 531–540, https://doi.org/10.1785/gssrl.83.3.531, 2012.
Luzi, L., Lanzano, G., Felicetta, C., D'Amico, M. C., Russo, E., Sgobba, S., Pacor, F., and ORFEUS Working Group 5: Engineering Strong Motion Database (ESM) (Version 2.0), Istituto Nazionale di Geofisica e Vulcanologia (INGV), https://doi.org/10.13127/ESM.2, 2020.
MathWorks: MATLAB, version 9.15 (R2023b), Natick, Massachusetts: The MathWorks Inc., https://www.mathworks.com (last access: 6 March 2025), 2023
Medved, I., Polat, G., and Koulakov, I.: Crustal Structure of the Eastern Anatolia Region (Turkey) Based on Seismic Tomography, Geoscience, 11, 91, https://doi.org/10.3390/geosciences11020091, 2021.
Melgar, D., Taymaz, T., Ganas, A., Crowell, B. W., Öcalan, T., Kahraman, M., Tsironi, V., Yolsal-Çevikbilen, Valkaniotis, S., Irmak, T. S., Eken, T., Erman, C., Özkan, Doğan, A. H., and Altuntaş, C.: Sub- and super-shear ruptures during the 2023 Mw 7.8 and Mw 7.6 earthquake doublet in SE Türkiye, Seismica, 2, 3, https://doi.org/10.26443/seismica.v2i3.387, 2023.
Morasca, P., Bindi, D., Mayeda, K., Roman-Nieves, J., Barno, J., Walter, W. R., and Spallarossa, D.: Source scaling comparison and validation in Central Italy: data intensive direct S waves versus the sparse data coda envelope methodology, Geophys. J. Int., 231, 1573–1590, https://doi.org/10.1093/gji/ggac268, 2022.
Ozer, C., Ozyazicioglu, M., Gok, E., and Polat, O.: Imaging the Crustal Structure Throughout the East Anatolian Fault Zone, Turkey, by Local Earthquake Tomography, Pure Appl. Geophys., 176, 2235–2261, https://doi.org/10.1007/s00024-018-2076-6, 2019.
Pacor, F., Spallarossa, D., Oth, A., Luzi, L., Puglia, R., Cantore, R., Mercuri, A., D'Amico, M., and Bindi, D.: Spectral models for ground motion prediction in the L'Aquila region (central Italy): Evidence for stress-drop dependence on magnitude and depth, Geophys. J. Int., 204, 697–718, https://doi.org/10.1093/gji/ggv448, 2016.
Palo, M. and Zollo, A.: Small-scale segmented fault rupture along the East Anatolian Fault during the 2023 Kahramanmaraş earthquake, Communications Earth & Environment, 5, 431, https://doi.org/10.1038/s43247-024-01597-z, 2024.
Parolai, S., Bindi, D., and Augliera, P.: Application of the Generalized Inversion Technique (GIT) to a Microzonation Study: Numerical Simulations and Comparison with Different Site-Estimation Techniques, B. Seismol. Soc. Am., 90, 286–297, 2000.
Parolai, S., Bindi, D., Durukal, E., Grosser, H., and Milkereit, C.: Source Parameters and Seismic Moment-Magnitude Scaling for Northwestern Turkey, B. Seismol. Soc. Am., 97, 655–660, https://doi.org/10.1785/0120060180, 2007.
Pennington, C. N., Chen, X., Abercrombie, R. E., and Wu, Q.: Cross validation of stress drop estimates and interpretations for the 2011 Prague, OK, earthquake sequence using multiple methods, J. Geophys. Res.-Sol. Ea., 126, e2020JB020888, https://doi.org/10.1029/2020JB020888, 2021.
Petersen, G. M., Büyükakpinar, P., Vera Sanhueza, F. O., Metz, M., Cesca, S., Akbayram, K., Saul, J., and Dahm, T.: The 2023 Southeast Türkiye Seismic Sequence: Rupture of a Complex Fault Network, Seism. Rec., 3, 134–143, https://doi.org/10.1785/0320230008, 2023.
Picozzi, M., Oth, A., Parolai, S., Bindi, D., De Landro, G., and Amoroso, O.: Accurate estimation of seismic source parameters of induced seismicity by a combined approach of generalized inversion and genetic algorithm: Application to The Geysers geothermal area, California, J. Geophys. Res.-Sol. Ea., 122, 3916–3933, https://doi.org/10.1002/2016JB013690, 2017.
Picozzi, M., Spallarossa, D., Iaccarino, A. G., and Bindi, D.: Temporal evolution of radiated energy to seismic moment scaling during the preparatory phase of the Mw 6.1, 2009 L'Aquila Earthquake (Italy), Geophys. Res. Lett., 49, 7382, e2021GL097382, https://doi.org/10.1029/2021GL097382, 2022.
Picozzi, M., Iaccarino, A. G., Spallarossa, D., and Bindi, D.: On catching the preparatory phase of damaging earthquakes: an example from central Italy, Sci. Rep., 13, 14403, https://doi.org/10.1038/s41598-023-41625-0, 2023a.
Picozzi, M., Iaccarino, A. G., and Spallarossa, D.: The preparatory process of the 2023 Mw 7.8 Türkiye earthquake, Sci. Rep., 13, 17853, https://doi.org/10.1038/s41598-023-45073-8, 2023b.
Picozzi, M., Spallarossa, D., Iaccarino, A. G., and Bindi, D.: Event-specific ground motion anomalies highlight the preparatory phase of earthquakes during the 2016–2017 Italian seismicity, Comm. Earth Environ., 5, 289, https://doi.org/10.1038/s43247-024-01455-y, 2024.
Richter, C.: An instrumental earthquake magnitude scale, B. Seismol. Soc. Am., 25, 1–32, https://doi.org/10.1785/BSSA0250010001,1935.
Robusto, C. C.: The cosine-haversine formula, Am. Math. Mon., 64, 38–40, https://doi.org/10.2307/2309088, 1957.
Rodríguez-Pérez, Q. and Zúñiga, F. R.: Statistical and source characterization of the 2023 Kahramanmaraş Türkiye earthquake sequence, Acta Geophys., 73, 1241–1260, https://doi.org/10.1007/s11600-024-01428-x, 2025.
Sandıkkaya, M. A., Güryuva, B., Kale, Ö., Okçu, O., İçen, A., Yenier, E., and Akkar, S.: An updated strong-motion database of Türkiye (SMD-TR), Earthq. Spectra, 40, 847–870, https://doi.org/10.1177/87552930231208158, 2024.
Savage, M. K. and Anderson, J. G.: A local-magnitude scale for the western great basin-eastern Sierra Nevada from synthetic Wood-Anderson seismograms, B. Seismol. Soc. Am., 85, 1236–1243, https://doi.org/10.1785/BSSA0850041236, 1995.
Sbeinati, M. R., Darawcheh, R., and Mouty, M.: The historical earthquakes of Syria: an analysis of large and moderate earthquakes from 1365 B. C. to 1900 A. D., Ann. Geophys., 48, 347–435, https://doi.org/10.4401/ag-3206, 2005.
Scafidi, D., Spallarossa, D., Tunino, C., Ferretti, G., and Viganò, A.: Automatic P- and S-Wave Local Earthquake Tomography: Testing Performance of the Automatic Phase-Picker Engine “RSNI-Picker”, B. Seismol. Soc. Am., 106, 526–536, https://doi.org/10.1785/0120150084, 2016.
Scafidi, D., Viganò, A., Ferretti, G., and Spallarossa, D.: Robust picking and accurate location with RSNI-Picker2: Real-Time Automatic Monitoring of Earthquakes and Non Tectonic Events, Seism. Res. Lett., 89, 1478–1487, https://doi.org/10.1785/0220170206, 2018.
Scafidi, D., Spallarossa, D., Ferretti, G., Barani, S., Castello, B., and Margheriti, L.: A Complete Automatic Procedure to Compile Reliable Seismic Catalogs and Travel-Time and Strong-Motion Parameters Datasets, Seism. Res. Lett., 90, 1308–1317, https://doi.org/10.1785/0220180257, 2019.
Sertçelik, F.: Estimation of Coda Wave Attenuation in the East Anatolia Fault Zone, Turkey, Pure Appl. Geophys., 169, 1189–1204, https://doi.org/10.1007/s00024-011-0368-1, 2012.
Shible, H., Hollender, F., Bindi, D., Traversa, P., Oth, A., Edwards, B., Klin, P., Kawase, H., Grendas, I., Castro, R. R., Theodoulis, N., and Gueguen, P.: GITEC: A Generalized Inversion Technique Benchmark, B. Seismol. Soc. Am., 112, 850–877, https://doi.org/10.1785/0120210242, 2022.
Spallarossa, D., Bindi, D., Augliera, P., and Cattaneo, M.: An Ml scale in northwestern Italy, B. Seismol. Soc. Am., 92, 2205–2216, https://doi.org/10.1785/0120010201, 2002.
Spallarossa, D., Ferretti, G., Scafidi, D., Turino, C., and Pasta, M.: Performance of the RSNI-Picker, Seismol. Res. Lett., 85, 1243–1254, https://doi.org/10.1785/0220130136, 2014.
Spallarossa, D., Cattaneo, M., Scafidi, D., Michele, M., Chiaraluce, L., Segou, M., and Main, I. G.: An automatically generated high-resolution earthquake catalogue for the 2016–2017 Central Italy seismic sequence, including P and S phase arrival times, Geophys. J. Int., 225, 555–571, https://doi.org/10.1093/gji/ggaa604, 2021a.
Spallarossa, D., Picozzi, M., Scafidi, D., Morasca, P., Turino, C., and Bindi, D.: The RAMONES Service for Rapid Assessment of Seismic Moment and Radiated Energy in Central Italy: Concepts, Capabilities, and Future Perspectives, Seismol. Res. Lett., 92, 1759–1772, https://doi.org/10.1785/0220200348, 2021b.
Spallarossa, D., Colavitti, L., Lanzano, G., Sgobba, S., Pacor, F., and Felicetta, C.: CI-FAS_Flatfile: Parametric table of the Fourier Amplitude Spectra ordinates and associated metadata for the shallow active crustal events in Central Italy (2009–2018), [Data set], Istituto Nazionale di Geofisica e Vulcanologia (INGV), https://doi.org/10.13127/CI_dataset/CI-FAS_flatfile, 2022.
Tan, O., Pabuççu, Z., Tapırdamaz, C. M., İnan S., Ergintav, S., Eyidoğan, H., Aksoy, E., Kuluöztürk, F.: Aftershock study and seismotectonic implications of the 8 March 2010 Kovancılar (Elazığ, Turkey) earthquake (MW=6.1), Geophys. Res. Lett., 38, 4–9, https://doi.org/10.1029/2011GL047702, 2011.
Tarchini, G., Scafidi, D., Parolai, S., Picozzi, M., Bindi, D., and Spallarossa, D.: The Seismic Station and Site Amplification Service: Continuously Updated Information on Italian Seismic Stations, Seismol. Res. Lett., 96, 2027–2038, https://doi.org/10.1785/0220240291, 2025.
Taymaz, T., Ganas, A., Yolsal-Çevikbilen S., Vera, F., Eken, T., Erman, C., Keles, D., Kapetadinis, V., Valkaniotis, S., Karasante, I., Tsironi, V., Gaebler, P., Melgar, D., and Öcalan, T.: Source Mechanism and Rupture Process of the 24 January 2020 Mw 6.7 Doğanyol-Sivrice Earthquake obtained from Seismological Waveform Analysis and Space Geodetic Observations on the East Anatolian Fault Zone (Turkey), Tectonophysics, 804, 228745, https://doi.org/10.1016/j.tecto.2021.228745, 2021.
Taymaz, T., Ganas, A., Berberian, M., Eken, T., Irmak, T., Kapetanidis, V., Yolsal-Çevikbilen, S., Erman, C., Keles, D., Esmaeili, C., Tsironi, V., and Özkan, B.: The 23 February 2020 Qotur-Ravian Earthquake Doublet at the Iranian-Turkish Border: Seismological and InSAR Evidence for Escape Tectonics, Tectonophysics, 838, TECTO15364-229482, https://doi.org/10.1016/j.tecto.2022.229482, 2022.
TK – Disaster and Emergency Management Authority: Turkish National Strong Motion Network [Data set], Department of Earthquake, Disaster and Emergency Management Authority, https://doi.org/10.7914/SN/TK, 1973.
Toker, M. and Şakir, Ş.: Upper- to mid-crustal seismic attenuation structure above the mantle wedge in East Anatolia, Turkey: Imaging crustal scale segmentation and differentiation, Phys. Earth Planet. In., 329–330, 106908, https://doi.org/10.1016/j.pepi.2022.106908, 2022.
Trifunac, M. D., and Brady, A. G.: A study on the duration of strong earthquake ground motion, B. Seismol. Soc. Am., 65, 581–626, 1975.
TU – Disaster and Emergency Management Authority: Turkish National Seismic Network [Data set], Department of Earthquake, Disaster and Emergency Management Authority, https://doi.org/10.7914/SN/TU, 1990.
Uhrhammer, R. A., Hellweg, M., Hutton, K., Lombard, P., Walters, A. W., Hauksson, E., and Oppenheimer, D.: California Integrated Seismic Network (CISN) local magnitude determination in California and vicinity, B. Seismol. Soc. Am., 101, 2685–2693, https://doi.org/10.1785/0120100106, 2011.
van der Elst, N. J.: B-Positive: A Robust Estimator of Aftershock Magnitude Distribution in Transiently Incomplete Catalogs, J. Geophys. Res.-Sol. Ea., 126, e2020JB021027, https://doi.org/10.1029/2020JB021027, 2021.
Wang, B. and Barbot, S.: Rupture segmentation on the East Anatolian fault (Turkey) controlled by along-strike variations in long-term slip rates in a structurally complex fault system, Geology, 52: 779–783, https://doi.org/10.1130/G52403.1, 2024.
Wessel, P., Smith, W. H. F., Scharroo, R., Luis, J., and Wobbe, F.: Generic Mapping Tools: Improved Version Released, EOS, 94, 409–410, https://doi.org/10.1002/2013EO450001, 2013.
Zaliapin, I. and Ben-Zion, Y.: A global classification and characterization of earthquake clusters, Geophys. J. Int., 207, 608–634, https://doi.org/10.1093/gji/ggw300, 2016.
Zaliapin, I., Gabrielov, A., Keilis-Borok, V., and Wong, H.: Clustering analysis of seismicity and aftershock identification, Phys. Rev. Lett., 101, 018501, https://doi.org/10.1103/PhysRevLett.101.018501, 2008.
Short summary
This work describes a dataset of 5 years of earthquakes with magnitude range of 2.0–5.5 from January 2019 along the East Anatolian Fault, Türkiye. All events were located using the non-linear location algorithm, providing reliable horizontal locations and depths. The distributed product includes Fourier amplitude spectra, peak ground acceleration and peak ground velocity; we strongly believe that the creation of high-quality open-source datasets is crucial for any seismological investigation.
This work describes a dataset of 5 years of earthquakes with magnitude range of 2.0–5.5 from...
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