The present dataset is a high-resolution earthquake catalog for the region of the 2014 M8.1 Iquique earthquake sequence, in the Northern Chile subduction zone. Events in the catalog were obtained processing seismic waveforms from >100 permanent and temporary seismic stations. The list of waveform data sources used, the multistage automatic earthquake detection and location procedure implemented to build the catalog, as well as the patterns outlined by the seismicity are described in Soto et al. (2019).The dataset file contains information of hypocenters (one event per line), structured in a format with the following columns: # year, month, day, hour, minute, second (UTC), longitude [dec. degrees], latitude [dec. degrees], depth [km], magnitude [ML]Seismic waveform data were taken from networks CX (GFZ and CNRS-INSU, 2006), IQ (Cesca et al., 2018), 3D (Asch et al., 2014) and GE (GEOFON, 1993) accessed via EIDA webservices (e.g., https://geofon.gfz-potsdam.de/), as well as from Chilean Seismological Network (C, C1) stations (Barrientos et al., 2018) accessed via IRIS webservices (http://ds.iris.edu/SeismiQuery/). Additional waveform data were used from the MEJIPE temporary network deployed by FU Berlin (Salazar et al., 2013) accessed via EIDA webservices as well as from a temporary network deployed by the Chilean ONEMI, DGF and CSN institutions accessed from CSN upon request.
The present dataset is a comprehensive earthquake catalogue for the Northern Chile subduction zone forearc, determined from IPOC seismic station data (GFZ and CNRS-INSU 2006; http://doi.org/10.14470/PK615318) plus some auxiliary stations (IPOC = Integrated Plate Boundary Observatory Chile; http://www.ipoc-network.org). The method of automatized earthquake catalogue retrieval, the different relocation steps as well as the different earthquake class labels and the structures outlined by the seismicity are described in detail in Sippl et al. (2018). Unlike the catalogue that is supplied as a supplementary file with said paper, this record here will grow over the years, i.e. data from additional years beyond 2014, processed in the same way, will be added.The columns of the data files are:year, month, day, hour, minute, second, latitude [dec. degrees], longitude [dec. degrees], depth [km], magnitude [ML], identifierThe identifier term provides a first-order spatial classification of the seismicity, an explanation is given in Table 1 of Sippl et al. (2018).
Local seismic network in Northern Chile, Southern Bolivia. (Grant-number: GIPP199604) Waveform data is available from the GEOFON data centre. License: “Creative Commons Attribution-ShareAlike 4.0 International License” (CC BY-SA).
In the arid and largely abiotic region of northern Chile the environmental conditions are favorable for measurement of the tectonic and climate influence on catchment denudation rates. Previous studies of denudation rates from cosmogenic 10Be and 26Al concentrations are limited to single drainages. In this study, we present 34 new 10Be and eight 26Al derived catchment-averaged denudation rates from 33 catchments to analyze variations of denudation rates between 18°S to 23°S in the Coastal and Western Cordilleras of northern Chile. Cosmogenic nuclide-derived denudation rates range from 0.4±0.5 to 20.6±1.5 m/Myr in the Coastal Cordillera and from 1.4±0.7 to 168.0±19.8 m/Myr in the Western Cordillera. The controls on the denudation rates are evaluated using a statistical factor analysis of ten selected catchment parameters. Denudation rates indicate a strong linear relationship with channel steepness indices but insignificant correlations and covariation with mean annual precipitation rates, drainage area, stream order, mean elevation, mean local relief, mean basin slope and analyzed grain size. Thus, denudation rates are better correlated with tectonic controls at catchment scale than orogen-scale plate tectonics in the Western Cordillera and Coastal Cordillera.
These data are supplementary material to Starke et al. (2017). For further information about methods used and parameters provided, please also see the README.(1) as Microsoft Excel file: Starke-et-al-2017-JGR-Supplementary-Tables.xlsx
(2) as comma separated text files (.csv) in a zip folder: Starke-et-al-2017-JGR-Supplementary-Tables.zip)
(3) as printable pdf: Starke-et-al-2017-JGR-Supplementary-Tables.pdf.