@article{PAR00017882,
  title = {{T}he {ARGONET} ({G}reece) seismic observatory : an accelerometric vertical array and its data},
  author = {{T}heodoulidis, {N}. and {H}ollender, {F}. and {M}ariscal, {A}rmand and {M}oiriat, {D}. and {B}ard, {P}. {Y}. and {K}onidaris, {A}. and {C}ushing, {M}. and {K}onstantinidou, {K}. and {R}oumelioti, {Z}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {ARGO}stoli {NET}work ({ARGONET}) consists of a vertical seismic array and a close by (440 m) free-field station on bedrock, located in {C}ephalonia, western {G}reece, in the vicinity of the {C}ephalonia transform fault zone ({CTFZ}) that is characterized by a high seismic activity, one of the highest in {E}urope. {I}t is intended to investigate the effects of local surface geology on the incoming seismic wavefield, with emphasis on strong ground motion (nonlinearity). {T}he vertical array is composed of accelerometer sensors placed on the ground surface at 5.6-, 15.5-, 40.1-, and 83.4-m depth. {T}he {P}- and {S}-wave velocity ranges from surface to bottom bedrock between 600 and 2700 m/s and between 130 and 700 m/s, respectively. {T}he {ARGONET} started its operation in {J}uly 2015. {A}s of 31 {D}ecember 2017, this array, which operates in continuous mode with {G}lobal {P}ositioning {S}ystem ({GPS}) absolute time synchronization, has recorded high-quality recordings for 478 local and regional earthquakes (from {M}-{L} 1.8 to {M}-w 6.4 and hypocentral distance from 7 to 180 km, with peak ground acceleration ({PGA}) from 0.83 to 169 cm/s(2)). {E}vent dataset along with its metadata are open. {T}he {ARGONET} data are expected to form the basis for further research on the effects of complex surface geology on ground motion and validation of 1{D}/2{D}/3{D} simulation methods, as well as for studying nonlinear seismic wave propagation phenomena.},
  keywords = {{GRECE} ; {MEDITERRANEE} ; {CEPHALONIE}},
  booktitle = {},
  journal = {{S}eismological {R}esearch {L}etters},
  volume = {89},
  numero = {4},
  pages = {1555--1565},
  ISSN = {0895-0695},
  year = {2018},
  DOI = {10.1785/0220180042},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00017882},
}