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Table 2: Model-extracted velocity-dependent friction parameters
Japan Trench data from Ikari et al. (2015). -
Friction Measurements on Weak Materials at Plate Rate Velocities
Laboratory friction experiments are used on natural fault zone samples at cm/yr driving rates to demonstrate that there is abundant evidence of unstable slip behaviour which was... -
Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation fro...
Contains 3 synthetic datasets (UNI, DIS, UNI-5px), with three corresponding trained models, based on a CNN architecture. The three datasets contains pairs of small (either... -
FaultDeform : Fast and Accurate Sub-pixel Displacement Estimation From Optica...
Contains the FaultDeform train, validation and test sub-datasets (10,000 samples). The three sub-datasets contain samples, built with pairs of large 1024x1024 windows that... -
Global Index of Vulnerability to Earthquake to the towns of Lorca and Totana,...
This data proposes a Global Index of Vulnerability to Earthquake (GIVE) of educational institutions of the towns of Lorca and Totana located on the active Alhama de Murcia fault... -
Annual resin extracted wood δ13C content of tree core samples from the ruptur...
This dataset has no description
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Dendroecological responses to the 2010 M8.8 Maule Earthquake
These data are part of the supplementary information of our publication Trees talk tremor – Wood anatomy and δ13 C content reveal contrasting tree-growth responses to... -
Classification of structural building damage grades from multi-temporal photo...
Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different... -
Fast earthquake assessment dataset for Chile
The data publication contains a dataset for fast assessment of earthquakes based on seismic waveforms. The dataset encompasses Northern Chile. Due to the large scale of the... -
Stream2segment: a tool to download, process and visualize event-based seismic...
The task of downloading comprehensive datasets of event-based seismic waveforms has been made easier through the development of standardised web services, but is still highly... -
Fast earthquake assessment and earthquake early warning dataset for Italy
The data publication contains a dataset for fast assessment of earthquakes and early warning based on seismic waveforms. The dataset encompasses Italy and surrounding refions.... -
Supplement to: The 2010-2014 Pollino earthquake swarm: tectonic and transient...
Phase A: roessler_pollino_locations_gfzpublication20100101_20120527_0_90.png roessler_pollino_locations_gfzpublication20100101_20120527_movie.avi Map with the locations of... -
An Open-Source Site Database of Strong-Motion Stations in Japan: K-NET and Ki...
This is an open-source site database for a total number of 1742 earthquake recording sites in the K-NET (Kyoshin network) and KiK-net (Kiban Kyoshin network) networks in Japan.... -
P-phases arrival times used in Steed et. al 2019 for Crowdseeded Seismic Loca...
P-phase arrival times automatically created by the SeisComP3 (https://www.seiscomp3.org/) software at the GFZ scanning all stations available in real-time at GEOFON Data Centre... -
Attenuation coefficients and station corrections for harmonized local magnitu...
In Bindi et al. (2019) a harmonized local magnitude scale across Europe has been derived using data disseminated by network operators through the European Integrated Data... -
EMCA Central Asia Earthquake catalogue
Version History11 Sep 2019: Release of Version 1.1 with the following changes: (1) new licence: CC BY SA 4.0, modification of the title: removal of file name and version); (2)... -
Magnitude scales, attenuation models and feature matrices for the IPOC catalog
In Münchmeyer et al. 2019 magnitudes scales for Northern Chile have been derived with a focus on low uncertainties. The data set consists of three parts. First, a version of the... -
TEAM – The Transformer Earthquake Alerting Model
TEAM, the Transformer Earthquake Alerting Model is a deep learning model for real time estimation of peak ground acceleration (TEAM), earthquake magnitude and earthquake... -
Supplement data for Kufner et al. (submitted 2022): The devastating 2022 M6.2...
This dataset contains raw data and processing results as supplement to Kufner et al, submitted 2022 to GRL: The devastating 2022 M6.2 Afghanistan earthquake: challenges,... -
Classification of structural building damage grades from multi-temporal photo...
Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different...
