Subsurface data from the Chacopampean plain, North Argentina

DOI

Understanding the evolution of foreland basins provides rich information about present and past orogenies and plate-scale tectonic processes. The Andean foreland basin, also known as the Chacopampean plain, preserves sedimentary records in the subsoil from the late Precambrian to the present day. This region was considered poor in tectonic activity before the Cenozoic. This dataset contributes to the elucidation of the geological evolution of the transitional zone between three distinct basin systems: the Salta Rift, the intracratonic Chacoparanaense, and the Andean foreland basins.
The database consists of 19 seismic lines and data from 18 wells located in the Chacopampean plain, both in the domains of the Chacoparanaense Basin and in the domain of the Salta Rift Basin, and velocity data from seismic headers that allow the correlation of data from time and depth domains.
With these data, we have interpreted a complex tectonic history persisting to the Palaeogene by analysing industry seismic-reflection data and borehole records. This research provides an unprecedented, detailed investigation of a poorly explored region.

Identifier
DOI https://doi.org/10.5880/fidgeo.2025.038
Related Identifier IsSupplementTo https://doi.org/10.1016/j.gloplacha.2026.105351
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:8629
Provenance
Creator Cortassa, Valentina ORCID logo; Back, Stefan ORCID logo; Ondrak, Robert ORCID logo; del Papa, Cecilia (ORCID: 0000-0001-5645-849X); Strecker, Manfred ORCID logo; Rossello, Eduardo ORCID logo
Publisher GFZ Data Services
Contributor Cortassa, Valentina; Back, Stefan; Ondrak, Robert; del Papa, Cecilia; Strecker, Manfred; Rossello, Eduardo
Publication Year 2025
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Cortassa, Valentina (Institute of Geosciences, University of Potsdam, Potsdam, Germany); Cortassa, Valentina
Representation
Resource Type Dataset
Discipline Geospheric Sciences
Spatial Coverage (-63.964W, -28.000S, -58.251E, -22.843N)