Simulated ground motion dataset in the Azores plateau, Portugal, on bedrock.
Abstract
Simulated Ground Motion Dataset for the Azores PlateauThis repository contains a simulated ground motion dataset for the Azores Plateau (Portugal), for bedrock conditions. The dataset is generated using a stochastic source-based approach with randomized input parameters to capture aleatory uncertainty. Validation confirms that the dataset accurately represents real ground motion variability and inter-period correlations. This dataset supports seismic hazard analysis and risk assessment in the region.
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README: Flatfile and HDF5 Dataset Summary 1. Overview This dataset contains synthetic ground-motion simulations provided in two complementary formats: • CSV flatfile: Metadata and calculated ground-motion intensity measures for each record. • HDF5 dataset: Full acceleration time series organized by simulation scenario and identified by Name column from CSV file. Both files share a consistent naming convention to allow cross-referencing between metadata and waveform data. 2. CSV Flatfile The CSV file includes one row per simulated ground-motion record. Each row is uniquely identified by the Name column (e.g., Azores_Scenario_20_Site12_RandomNo28). 3. HDF5 Dataset Structure The HDF5 file stores the corresponding acceleration time series. • Each scenario is organized as a group: • /Scenario_1/ • /Scenario_2/ • /Scenario_3/ • Within each scenario group, the ACC subgroup contains acceleration datasets for all sites and random realizations, using the same names as in the CSV flatfile, e.g.: • /Scenario_20/ACC/Azores_Scenario_20_Site12_RandomNo28 • Each dataset contains two arrays: o ac – acceleration time series (in cm/s²) o t – corresponding time vector (in seconds)
4. Accessing the Data The HDF5 files can be accessed using: • Python: h5py or pandas for reading datasets. • MATLAB: h5read() function. • HDFView: GUI-based exploration of dataset hierarchy.