The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/b6e583ec-d012-4ca7-b0cc-ebdb22fe3911

Masfara, La Ode Marzujriban (2025): Elementary seismogram dataset for the source characterisation of the 2019 ML 3.4 event in the Groningen Gas Field. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b6e583ec-d012-4ca7-b0cc-ebdb22fe3911.v1

Categories

• Geophysics
• Earth Sciences

Keywords

Earthquake gas exploration Groningen induced earthquake Seismogram

Geolocation

view on openstreetmap

Licence

CC BY 4.0

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by La Ode Marzujriban Masfara

This dataset is generated to perform earthquake source characterization of the 2019 ML 3.4 event in the Groningen Gas Field. The methodology of the characterization is described in https://doi.org/10.5194/se-13-1309-2022, 2022, and the results of the characterization are discussed in https://doi.org/10.1029/2023EA003184. In both papers, we describe the raw input to generate this dataset (see code and data availability sections).

History

• 2025-02-18 first online, published, posted

Publisher

4TU.ResearchData

Format

Uploaded zipfile contains: Jupyter notebook for extracting the data (hdf5 format) and explaining the structure of the data.

Associated peer-reviewed publication

Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior

References

• https://doi.org/10.5194/se-13-1309-2022

Funding

• DeepNL (grant code DEEP.NL.2018.048) NWO

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering