Datasetpublic

MIGRATE/Surfdisp96-Roccastrada-10k-2025

🧠 Dataset Overview The Surfdisp96-Roccastrada-10m dataset contains synthetic seismic velocity models and their corresponding Rayleigh-wave dispersion curves, generated using the SurfDisp96 simulator with Roccastrada priors.It is designed for benchmarking seismic inversion algorithms and for training machine-learning models in geophysics. Each sample includes: A seismic velocity model with shear-wave velocities, depths and layer thicknesses Three dispersion curves covering… See the full description on the dataset page: https://huggingface.co/datasets/MIGRATE/Surfdisp96-Roccastrada-10k-2025.

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Dataset Card

🧠 Dataset Overview

The Surfdisp96-Roccastrada-10m dataset contains synthetic seismic velocity models and their corresponding Rayleigh-wave dispersion curves, generated using the SurfDisp96 simulator with Roccastrada priors. It is designed for benchmarking seismic inversion algorithms and for training machine-learning models in geophysics.

Each sample includes:

1.A seismic velocity model with shear-wave velocities, depths and layer thicknesses
2.Three dispersion curves covering low, middle and high period ranges

🔢 Priors Configuration (Roccastrada)

Parameter	Value	Description
`vs`	[0.5, 4.0]	Range of shear-wave velocities (km/s)
`z`	[0.0, 5.0]	Depth range (km)
`layers`	[2, 20]	Minimum and maximum number of layers
`vpvs`	1.3	P/S velocity ratio
`mohoest`	null	Estimated Moho depth (unused)
`mantle`	null	Mantle properties (unused)
`thickmin`	0.1	Minimum layer thickness (km)
`lvz`	null	Low-velocity zone (not used)
`hvz`	null	High-velocity zone (not used)

⚙️ Generation Parameters

Parameter	Value	Description
`seed`	43	Random seed for reproducibility
`random_generator`	numpy.default_rng	Random number generator backend
`n_samples`	10 000	Total synthetic models
`samples_per_shard`	1 000	Number of samples per Parquet shard
`n_shards`	10	Total number of shards
`source`	sample_model + forward	Data generation process
`dispersion_curve_length`	108	Number of points per dispersion curve
`folds`	2-fold, 5-fold, 10-fold	Available cross-validation splits
`fold_file`	folds.json	JSON file defining the folds

🧩 Feature Schema

Feature	Type	Description
`vs`	list<float32>	Shear-wave velocities (km/s), one per layer
`z`	list<float32>	Depths of layer boundaries (km)
`vpvs`	float32	Vp/Vs ratio
`disp_x`	list<float32>	Period values (s), length = 108
`disp_y`	list<float32>	Corresponding velocities (km/s), length = 108
`wave_type`	string	Type of surface wave (Rayleigh / Love)
`velocity_type`	string	Velocity measurement type (group / phase)

📊 Column Descriptions

Column Name	Data Type	Description	Typical Values
Model Parameters
`vs`	list<float32>	Shear-wave velocities (km/s)	0.5–5.0
`z`	list<float32>	Layer-center depths (km)	0–15
`h`	list<float32>	Layer thicknesses (km)	depends on prior
`z_disc`	list<float32>	Discontinuity depths (km)	depends on prior
`vp`	list<float32>	P-wave velocities (km/s)	1.5–8.5
`vpvs`	float32	Vp/Vs ratio	1.3
`nlayers`	int	Number of layers	2–20
`velmap_vs`	list<float32>	Interpolated Vs profile (60 points)	0.5–5.0
`velmap_z`	list<float32>	Depth grid for `velmap_vs`	0–15 km
Low Range Dispersion Curve
`L_disp_x`	list<float32>	Periods (s)	0.1–1.0
`L_disp_y`	list<float32>	Velocities (km/s)	0.5–3.0
`L_wave_type`	string	Wave type	Rayleigh / Love
`L_velocity_type`	string	Velocity type	group / phase
Middle Range Dispersion Curve
`M_disp_x`	list<float32>	Periods (s)	1.0–10.0
`M_disp_y`	list<float32>	Velocities (km/s)	1.0–3.5
`M_wave_type`	string	Wave type	Rayleigh / Love
`M_velocity_type`	string	Velocity type	group / phase
High Range Dispersion Curve
`H_disp_x`	list<float32>	Periods (s)	10.0–40.0
`H_disp_y`	list<float32>	Velocities (km/s)	2.0–4.0
`H_wave_type`	string	Wave type	Rayleigh / Love
`H_velocity_type`	string	Velocity type	group / phase

🧭 Notes

1.All arrays are stored as float32 to reduce storage size.
2.Dispersion curves represent the relationship between period (T) and velocity (v) for seismic surface waves.
3.Low, middle and high ranges enable multi-scale analysis of the subsurface structure.
4.Default wave type = “Rayleigh”, velocity type = “group”.
5.Period ranges and grid spacing depend on generation parameters (low_range, middle_range, high_range, variable_grid).
6.Folds allow robust cross-validation (2, 5, 10 folds).

🧮 Usage Example

With 🤗 Datasets

python

from datasets import load_dataset

ds = load_dataset("nils-schaetti/sd96-roccastrada-10m", split="train")
print(ds[0]["vs"])  # Access shear-wave velocity model

Via CLI

bash

huggingface-cli download dataset nils-schaetti/sd96-roccastrada-10m --local-dir ./sd96-roccastrada-10m

🖼️ Sample Visualization

A sample model and its three dispersion curves are illustrated in sample_plot.png within the dataset directory.

[image]

⚙️ Generation Command

bash

python3 migrate/cli/main.py generate-dataset-surfdisp96 \
  --name Surfdisp96-Roccastrada-10m \
  --pretty-name sd96-roccastrada-10m \
  --description "This dataset contains synthetic seismic models and their corresponding Rayleigh-wave dispersion curves generated using forward modeling with the Roccastrada priors. It is designed for benchmarking inversion algorithms and training machine learning models in geophysics." \
  --license-name "CC BY-SA 4.0" \
  --created-by "Nils Schaetti" \
  --prior-file conf/priors/roccastrada_prior.yaml \
  --output-dir data/seismic/Dispsurf96-Roccastrada-10k \
  --n-samples 10000 \
  --samples-per-shard 1000 \
  --length 108 \
  --test-ratio 0.2 \
  --folds 2 5 10 \
  --seed 43 \
  --low-range 1.0 5.0 \
  --middle-range 1.0 15.0 \
  --high-range 1.0 30.0

🧾 License

This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

You are free to use, share, and adapt this dataset for any purpose, including commercial use, provided that you:

—Attribute the creator (Nils Schaetti, DMML Group, HEG Genève)
—Share-alike any derivative work under the same license (CC BY-SA 4.0)

![License: CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)