Melnick, Daniel; Maldonado, Valentina; Contreras, Martin (2020): Database of active and potentially-active continental faults in Chile at 1:25,000 scale [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.922241
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Abstract:
We present the first comprehensive database of active and potentially-active continental fault in Chile based on existing studies and new mapping at 1:25,000 scale using geologic and geomorphic criteria and digital elevation models derived from TanDEM-X and LiDAR data. The database includes 959 fault strands grouped into 17 fault systems and classified based on activity (78 proved, 592 probable, 288 possible). The database is a contribution to world compilation of active faults with applications in seismic hazards, paleoseismology, landscape evolution processes, geothermal exploration, and in the study of potential feedbacks between continental deformation and the plate-boundary seismic cycle along subduction zones. Data is provided in ESRI shapefile, Google Earth kmz, and as Excel spreadsheet.
Supplement to:
Maldonado, Valentina; Contreras, Martin; Melnick, Daniel (2021): A comprehensive database of active and potentially-active continental faults in Chile at 1:25,000 scale. Scientific Data, 8(1), 20, https://doi.org/10.1038/s41597-021-00802-4
Coverage:
Median Latitude: -33.548050 * Median Longitude: -72.905950 * South-bound Latitude: -47.810200 * West-bound Longitude: -74.976500 * North-bound Latitude: -19.285900 * East-bound Longitude: -70.835400
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Type | Type | Melnick, Daniel | |||
| 2 | Binary Object | Binary | Melnick, Daniel | |||
| 3 | Binary Object (Media Type) | Binary (Type) | Melnick, Daniel | |||
| 4 | Binary Object (File Size) | Binary (Size) | Bytes | Melnick, Daniel |
Change history:
2021-01-12T10:40:55 – A minor error in Database (partly duplicated field) corrected
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
6 data points