Publication Date:
2023-02-09
Description:
Abstract
Description:
In September 2017 three crustal-scale seismic profiles were acquired in southern Iran covering the subaerial accretionary wedge of the western part of the Makran Subduction zone. Each of the roughly north-south trending profiles was approximately 200 km long, and on each profile 9 to 10 artificial shots with charges between 400 and 800 kg of explosives were fired. The seismic signals were observed by 300 autonomous digital recorders with geophones on each profile. This dataset consists of the raw (continuous) data of the recorders (in proprietary cube format and MSEED-format) and the shot records in SEGY-format (standard exchange formats).
Description:
Other
Description:
The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
Keywords:
subduction zone
;
accretionary wedge
;
Makran
;
deep seismic sounding
;
crustal structure
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 REFRACTION
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 WIDE-ANGLE_REFLECTION_REFRACTION
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 EXPLOSION_SOURCE
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 WEIGHT-DROP_SOURCE
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 CRUSTAL_SCALE
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 REGIONAL_SCALE
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 DSS
;
SENSOR 〉 GEOPHONE
;
SENSOR 〉 VERTICAL_COMPONENT
;
LAND
;
SEG-Y_DATA_FORMAT
;
MINISEED_DATA_FORMAT
;
SEISMIC_WAVEFORM_DATA
;
CONTROLLED_SOURCE_SEISMOLOGY 〉 RAW_DATA
;
EARTH SCIENCE 〉 SOLID EARTH
;
EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE
;
In Situ/Laboratory Instruments 〉 Profilers/Sounders 〉 SEISMIC REFLECTION PROFILERS
Type:
Dataset
,
Dataset
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