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

(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

Keywords

Geolocation

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Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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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

Organizations

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