2D Seismic reflection dataset, acquired in Scheemda, Groningen province, the Netherlands

Datacite citation style:
Shirmohammadi, Faezeh; Draganov, Deyan; Ghose, Ranajit; Kawasaki, Yusuke; Revelo Obando, Eddy et. al. (2024): 2D Seismic reflection dataset, acquired in Scheemda, Groningen province, the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a8553b7e-82ae-4e9b-bc54-2a6b9ca6063c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version: version 3 - 2024-08-29 (latest) version 2 - 2024-07-23
version 1 - 2024-07-23
Delft University of Technology logo
geolocation
Scheemda, Groningen Province, the Netherlands

This dataset contains seismic reflection data acquired along a line close to the town of Scheemda in the Groningen province of the Netherlands. An electric seismic vibrator was used as a source with a spacing of 2.0 m, and 601 three-component geophone nodes were used as receivers with a spacing of 1.0 m.

This work has received funding from NWO Science domain (NWO-ENW), Grant Number DEEP.NL.2018.048; the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 742703); and OYO Corporation, Japan: OYO-TUD Research Collaboration (Project code C25B74).

history
  • 2024-07-23 first online, published, posted
publisher
4TU.ResearchData
format
.sgy
funding
  • NWO Science domain (NWO-ENW), Grant Number: DEEP.NL.2018.048 (grant code DEEP.NL.2018.048) NWO Science domain
  • European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 742703) (grant code Grant Agreement No. 742703) European Research Council
  • OYO Corporation, Japan: OYO-TUD Research Collaboration (Project code C25B74) (grant code Project code C25B74) OYO Corporation, Japan
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Section of Applied Geophysics and Petrophysics, Delft, The Netherlands

DATA - under embargo

The files in this dataset are under embargo until 2026-09-01.

Reason

The dataset is being actively analysed for ongoing research projects. The researchers intend to publish their findings before making the data publicly available.