Find research datasets worth reusing

opencc-by-4.0Jul 2022View details →

Dataset for "Emerging tremors and increasing seismic noise precede micro-earthquakes triggered in a fluid-activated shale fault slip experiment (2015, Mt Terri URL, Switzerland)"

This dataset contains the raw data of the injection experiment, performed in the Mt Terri Underground Platform in 2015 and used in the article: De Barros, L., Guglielmi, Y., F. Cappa, C. Nussbaum, J. Birkholzer, 2023. Induced microseismicity and tremor signatures illuminate different slip behaviors in a natural shale fault reactivated by a fluid pressure stimulation (Mont Terri), Geophysical Journal International, 10.1093/gji/ggad231 From a horizontal gallery, three vertical boreholes allowed the deployment of an injection probe (called SIMFIP; Guglielmi et al., 2014) and the monitoring sensors in the upper compartment of a N50°-60°SE fault zone. The 2.4 m long injection chamber of the SIMFIP probe was centered at 340.6 m depth, where a 3D displacement sensor was anchored on the borehole walls. A second SIMFIP probe is located 3.1 m northwest of the injection at a depth of 337.65 m, with another deformation sensor. Both deformation sensors measured the full strain tensor thanks to a Bragg optic fiber network, jointly with a fluid pressure sensor. A third borehole, located 2 m north of the monitoring probe, was dedicated to seismic monitoring. Two sets of collocated sensors, composed of a vertical geophone, a 3C accelerometer and an acoustic sensor, were positioned 9 m apart, above and below the main fault zone. These seismic sensors have a flat response in the ranges 0.01-0.5 kHz, 0.01-4 kHz and 0.5-10 kHz, respectively. Finally, the flowrate and pressure were also measured at the injection pump, located in the gallery. For more details on the injection, we refer the reader to:     • Jeanne, P., Guglielmi, Y., Rutqvist, J., Nussbaum, C., Birkholzer, J., 2018. Permeability Variations Associated With Fault Reactivation in a Claystone Formation Investigated by Field Experiments and Numerical Simulations. J. Geophys. Res. Solid Earth 123, 1694–1710. https://doi.org/10.1002/2017JB015149     • Guglielmi, Y., Nussbaum, C., Cappa, F., De Barros, L., Rutqvist, J., Birkholzer, J., 2021. Field-scale fault reactivation experiments by fluid injection highlight aseismic leakage in caprock analogs: Implications for CO2 sequestration. Int. J. Greenh. Gas Control 111, 103471. https://doi.org/10.1016/j.ijggc.2021.103471     • Guglielmi, Y., Nussbaum, C., Jeanne, P., Rutqvist, J., Cappa, F., Birkholzer, J., 2020. Complexity of Fault Rupture and Fluid Leakage in Shale: Insights From a Controlled Fault Activation Experiment. J.Geophys. Res. Solid Earth 125, e2019JB017781. https://doi.org/10.1029/2019JB017781     • Guglielmi, Y., Cappa, F., Lançon, H., Janowczyk, J.B., Rutqvist, J., Tsang, C.F., Wang, J.S.Y., 2014. ISRM Suggested Method for Step-Rate Injection Method for Fracture In-Situ Properties (SIMFIP): Using a 3-Components Borehole Deformation Sensor. Rock Mech. Rock Eng. 47, 303–311. https://doi.org/10.1007/s00603-013-0517-1

opencc-by-4.0Sep 2022View details →

Tidal triggering of seismic swarm associated with hydrothermal circulation at Blanco Ridge Transform Fault Zone in northeast Pacific

Supplementary Information for Tidal triggering of seismic swarm associated with hydrothermal circulation at Blanco Ridge Transform Fault Zone in northeast Pacific

opencc-by-4.0Sep 2022View details →

The synthetic and field seismic datasets for "ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation"

This is the synthetic and field siesmic dataset used in manuscript "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network". The dimensions of the large-scale and small-scale synthetic seismic datasets are 1600×256 pixels and 900×256 pixels. The field seismic data contains the subsets of the F3 Block, Australia Poseidon, Alaska North Slope seismic data.

opencc-by-4.0Oct 2022View details →

Data and program codes to reproduce the results of local earthquake seismic tomography for Central Kamchatka

This file contains the files to reproduce the results presented in the article: Connections between arc volcanoes in Central Kamchatka and the subducting slab inferred from local earthquake seismic tomography by Bushenkova N., Koulakov I., Bergal-Kuvikas O., Shapiro N., Gordeev E.I., Chebrov D.V. , Abkadyrov I., Jakovlev A., Stupina T., Novgorodova A., Droznina S., Huang H.-H., Journal of Volcanology and Geothermal Research. This file includes: 1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA).  2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of Central Kamchatka. 3. README_CEN_KAM.DOC file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article.  Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.

opencc-by-4.0Oct 2022View details →

Datafiles for "Ring Fault Slip Reversal at Bárðarbunga Volcano, Iceland: Seismicity during Caldera Collapse and Re-Inflation 2014-2018"

Datafiles for the manuscript "Ring Fault Slip Reversal at Bárðarbunga Volcano, Iceland: Seismicity during Caldera Collapse and Re-Inflation 2014-2018" by Glastonbury-Southern, E., Winder, T., White, R.S., and Brandsdóttir, B., submitted for publication in Geophysical Research Letters. This includes cut waveform data in miniseed format from stations operated by the University of Cambridge for the 30 earthquakes included in the study, as listed in Table S1.

opencc-by-4.0Apr 2024View details →

Crosshole seismic data (travel times) and crosshole GPR data (travel times and amplitudes) of the FE experiment in Mont Terri, Switzerland

Open the record for dataset details and reuse information.

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 4)

This is dataset of ocean wave simulations used in the paper "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" by Shimura et al. (submitted). The dataset contains  <ul> <li>significant wave height (Subset 1),</li> <li>wave induced surface pressure (Subset 2)</li> <li>long-period componet of wave heights (Subset 3)</li> <li>long-period component of surface pressure (Subset 4)</li> </ul> during 2004 from 2023 summer.

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 1)

Data for "The 20-year highest tropical cyclone-generated waves associated with the maximum energy of seismic noises" (Subset 2)

Trained Random Forest model and scaler parameters on new physical and tsfel features from seismic data of 150s length.

Open the record for dataset details and reuse information.

Data and program codes to reproduce the results of seismic tomography for the Northern Paramushir Island and Ebeko Volcano (Kuril Arc)

This file contains the files to reproduce the results presented in the article: by Ivan Koulakov et al. (2024). Seismic structure beneath Ebeko Volcano and surrounding areas of Paramushir Island (Kuril Arc) inferred from local earthquake tomograph, Journal of Volcanology and Geothermal Research. This file includes: 1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA).  2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Paramushir Island. 3. README_EBEKO.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article.  4. Folder SRF_FIGS with figures from the paper created in Surfer-13 that can be used as templates to visualize the results.  Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.

Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data

This is the electronic supplemental data for the publication entitled  "Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data" submitted to Seismological Research Letters (SRL).  The names of the compressed files represent the experiment number and station number. For example, "1_2" indicates data collected from the second station during the first experiment. Each compressed file contains seismic raw data in the ".SAC" format. The filenames include the UTC end time of data collection. For instance, "453003616.00000001.2021.10.20.06.40.22.000.z.sac" indicates that data collection ended at 06:40:22 on October 20, 2021. Each complete .sac file contains 4 days of data with a sampling interval of 0.002 seconds.

Probing the Evolution of Fault Properties During the Seismic Cycle with Deep Learning - Dataset

This dataset is intended to be used in conjunction with the code provided at the following link: <a href="https://github.com/lauralaurenti/CNN_Norcia_sequence_evolution">https://github.com/lauralaurenti/CNN_Norcia_sequence_evolution</a>

Supplementary materials for an AI-based method for estiamting the potential runout distance of post-seismic debris flows

We included several figures and tables in this file to support the study on runout distance estimation using a AI-based method, mainly focusing on the precipitation downscaling, calibration, assessment, and rainfall threshold calculation. Additionally, the prediction results of all the debris flow catchments were included in a table when intraday rainfall ranges from 40 to 100 mm.

Data set related to the manuscript entitled "Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy"

Detailed calculation results of rock physics modeling and other technical details for manuscript of “Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy”

opencc-by-4.0Jul 2018View details →

Micro-seismic and image dataset acquired at Matterhorn Hörnligrat, Switzerland

This dataset contains annotated micro-seismic recordings and images acquired in the context of project X-Sense2 (financed by nano-tera.ch, ref. no. 530659) at the Matterhorn Hörnligrat fieldsite on 3500 m a.s.l.. Additionally, secondary data is provided which can used for further analysis. This dataset comprises a selection of measurements. The data folder contains two datasets and additional data (secondary data). Please refer to the following publication for further information:   Meyer, M., Weber, S., Beutel, J., Thiele, L.: Systematic Identification of External Influences in Multi-Year Micro-Seismic Recordings Using Convolutional Neural Networks, Earth Surface Dynamics, in review, 2018.   dataset The dataset/ folder contains micro-seismic data, images, and annotations. A list of every datapoint including annotations and start/end time is provided in two csv files in the annotations/ folder.   event_dataset The event_dataset/ folder contains micro-seismic data and annotations. A list of every datapoint including annotations and start/end time is provided in two csv files in the annotations/ folder. For a selected time period bounding boxes are provided in the bounding_box.csv file.   Micro-seismic data The data was recorded using a Nanometrics Centaur digital recorder and Lennartz electronic low-noise seismometer LE-3Dlite MKIII (1−100 Hz). The Nanometrics Centaur digital recorder aquires data with 24-bit resolution with a sampling rate of 1000 sps. The data is stored in .miniseed-format.   Image data Images where acquired with a remote controlled high-resolution camera (Nikon D300, 24 mm fixed focus).   Annotations The data was annotated manually by the authors.   Secondary data The secondary data comprises data from different sensors, including wind speed, rock temperature and radiation. Additionally, weekly aggregated hut occupancy of the Hörnlihut from the years 2016/2017 and event timestamps from running a STA/LTA trigger on an internal version of the micro-seismic data are provided.

opencc-by-4.0Aug 2018View details →

Seismic and pressure data for Wang and Tanimoto

PSD files for seismic and pressure data for Wang and Tanimoto. Calculated rigidities for all stations from 2012 to 2017 (format: station name; longitude; latitude; rigidity(Pa); uncertainty(Pa).)

opencc-by-4.0Jan 2019View details →

Figures for "New method for computing post-seismic deformations in a realistic gravitational viscoelastic Earth model"

Here are all the figures used in the paper "New method for computing post-seismic deformations in a realistic gravitational viscoelastic Earth model".

opencc-by-4.0Mar 2019View details →

A seismic-frequency laboratory study of solid substitution in Bentheim sandstone

This supporting information provides the numerical results of the laboratory solid-substitution experiments which correspond to the graphical data presented in Figures 3- 6 of the main article. The supporting information includes: (1) the bulk and shear moduli of octadecane measured at temperatures from 23 °C to 40 °C under ambient pressure, and (2) the dependences of the elastic moduli, Poisson ratio and attenuation on effective pressure obtained for the  solid-, liquid-filled and drained Bentheim sandstone.