Earthquake catalog, GNSS vertical displacements, and groundwater table depth data for the Longmenshan fault zone.

# Data Files (1) Earthquake Catalog Filenames:decluster_DL_ML1.20.txtdecluster_NNA_ML1.20.txt Description:decluster_DL_ML1.20.txt: Earthquake catalog of background seismicity in the Longmenshan fault zone, obtained using the spatiotemporal Double Link method.decluster_NNA_ML1.20.txt: Earthquake catalog of background seismicity in the same region, obtained using the Nearest Neighbor Algorithm method. Data Format: | Column | Description ||--------|-------------|| date | Time of the earthquake occurrence || lat | Latitude of the epicenter (°) || lon | Longitude of the epicenter (°) || depth | Hypocentral depth (km) || mag | Magnitude of earthquake | Notes:These earthquake catalogs are derived by applying declustering algorithms to a complete earthquake catalog.The earthquake catalogs are divided according to topography types to compare the differences in seasonal seismicity across different topographies. (2) GNSS Vertical Displacement File Description: Each .txt file is named after the GNSS station and contains the daily time series of the vertical displacement component. Notes:The vertical displacement component is referenced to a fixed datum. Positive values indicate that the surface is above the datum, negative values indicate that the surface is below the datum, and a value of zero indicates that the surface is exactly at the datum.These data are used to estimate crustal vertical deformation caused by hydrological loading variations. (3) Groundwater Table Depth Filenames:51060.txt51151.txt File Description: Each .txt file is named after the groundwater monitoring station and contains the monthly time series of the groundwater table depth. Notes:These groundwater table depth data are used to assist in validating the annual variation patterns of groundwater total storage. (4) Python Code for Data Analysis Filenames:Empirical Mode Decomposition.pyGutenberg Richter Law.pyPermutation Test.pyTopography Classification.py Description: This dataset includes Python scripts used for data analysis in this study. | File | Purpose ||------|---------|| Empirical Mode Decomposition.py | Perform Empirical Mode Decomposition (EMD) on seismicity time series to extract seasonal signals || Gutenberg Richter Law.py | Fit the Gutenberg-Richter magnitude-frequency relationship and evaluate catalog completeness || Permutation Test.py | Conduct permutation tests for assessing the statistical significance of differences in seasonal seismicity || Topography Classification.py | Classify topography types within the study area and delineate different types of topography | # Related Publication This dataset is associated with the article: Topographic controls on the seasonal modulation of seismicity by hydrological loading in the Longmenshan Fault Zone.