8 Works

Data from: Global induced stress field from large earthquakes since 1900 and chained earthquake occurrence

Junhyung Lee & Tae-Kyung Hong
Great earthquakes produce significant damages over large areas. The timely identification of impending earthquakes is crucial for seismic hazard mitigation. We assess the stress induced from neighboring earthquakes for 120 years around the circum-Pacific plate boundaries. Large earthquakes perturbed the stress fields. We analyze 1,636 earthquakes with moment magnitudes greater than or equal to 6.4 in 1900-2020. The cumulative Coulomb stress changes reach up to the order of tens to hundreds of bar at the...

Data from: Ambient noise tomography of upper crustal structures and Quaternary faults in the Seoul metropolitan area and its geological implications

Dongwoo Kil, Tae-Kyung Hong, Dongchan Chung, Byeongwoo Kim, Junhyung Lee & Seongjun Park
We investigate the upper-crustal seismic velocity structure in the Seoul metropolitan area, where about 20 million people live. The Chugaryeong fault zone (CFZ) is placed in this area, but the seismic hazard potential remains unclear. We conducted ambient noise tomography to illuminate the high-resolution upper-crustal structure in the Seoul metropolitan area. We analyzed continuous vertical seismic records for ~5 months from a dense seismic array with 77 broadband stations. Group velocity dispersion curves and tomographic...

Neural and social correlates of attitudinal brokerage: using the complete social networks of two entire villages

Yoosik Youm, Junsol Kim, Seyul Kwak & Jeanyung Chey
To avoid polarization and maintain small-worldness in society, people who act as attitudinal brokers are critical. These people maintain social ties with people who have dissimilar and even incompatible attitudes. Based on resting-state functional magnetic resonance imaging (n=139) and the complete social networks from two Korean villages (n=1508), we investigated the individual-level neural capacity and social-level structural opportunity for attitudinal brokerage regarding gender role attitudes. First, using a connectome-based predictive model, we successfully identified the...

Supplement: Multicenter validated detection of focal cortical dysplasia using deep learning

Ravnoor S Gill, Hyo M Lee, Benoit Caldairou, Seok-Jun Hong, Carmen Barba, Francesco Deleo, Ludovico D’Incerti, Vanessa C Mendes Coelho, Matteo Lenge, Mira Semmelroch, Dewi Schrader, Fabrice Bartolomei, Maxime Guye, Andreas Schulze-Bonhage, Horst Urbach, Kyoo Ho Cho, Fernando Cendes, Renzo Guerrini, Graeme Jackson, R Edward Hogan, Neda Bernasconi & Andrea Bernasconi
Objective. To test the hypothesis that a multicenter-validated computer deep learning algorithm detects MRI-negative focal cortical dysplasia (FCD). Methods. We used clinically acquired 3D T1-weighted and 3D FLAIR MRI of 148 patients (median age, 23 years [range, 2-55]; 47% female) with histologically verified FCD at nine centers to train a deep convolutional neural network (CNN) classifier. Images were initially deemed as MRI-negative in 51% of cases, in whom intracranial EEG determined the focus. For risk...

Platinum incorporation into titanate perovskites to deliver emergent active and stable platinum nanoparticles (dataset)

Maadhav Kothari, Yukwon Jeon & John Thomas Sirr Irvine

Data from: Earthquake-spawning faults in the Seoul metropolitan area and their seismic implications

Tae-Kyung Hong, Dongchan Chung, Junhyung Lee, Seongjun Park, Byeongwoo Kim & Woohan Kim
Quaternary faults run across the Seoul metropolitan area that is the highest population region in the Korean Peninsula. Active fault identification and seismic hazard potential assessment are crucial for public safety. Densely-deployed permanent and temporal seismic stations enabled us to detect micro to small earthquakes, allowing us to identify earthquake-spawning faults in Seoul metropolitan area. The source parameters of 455 earthquakes in 2004-2020 are refined. The Gutenberg-Richter b value is 0.94. Dominant focal depths are...

Data from: A national VS30 model for South Korea to combine nationwide dense borehole measurements with ambient seismic noise analysis

Byeongwoo Kim & Tae-Kyung Hong
The average shear-wave velocity within the top 30 m from the surface, VS30, represents site characteristics including the soil classification and site amplification that are essential information for building codes and seismic design. A novel method to determine a VS30 model based on a composite analysis of borehole standard penetration test numbers (SPT N) and horizontal-to-vertical (H/V) spectral ambient noise ratios is introduced. A national VS30 model for South Korea is determined using the method....

The association between obesity and chronic rhinosinusitis with nasal polyps: A national population-based study

Jae Sung Nam, Yun Ho Roh, Wasan Almazouq Fahad, Hae-Eun Noh, Jong-Gyun Ha, Joo-Heon Yoon, Chang-Hoon Kim & Hyung-Ju Cho
Objectives: We performed a cross-sectional analysis of data from the nationwide Korea National Health and Nutrition Examination Survey (KNHANES) to evaluate the association between obesity and chronic rhinosinusitis with nasal polyps (CRSwNP) or without nasal polyp (CRSsNP). Design: Retrospective cross-sectional analysis of health survey data Setting: Voluntary survey of representative South Korean populations Participants: In total, 32,384 individuals aged 19 years or older with available data on CRS and obesity were included. Primary and Secondary...

Registration Year

  • 2021

Resource Types

  • Dataset


  • Yonsei University
  • Gyeongsang National University
  • University of Kent
  • Johnson Matthey (United Kingdom)
  • Meyer Children's Hospital
  • McGill University
  • University of St Andrews
  • Aix-Marseille University
  • Imam Abdulrahman Bin Faisal University
  • Florey Institute of Neuroscience and Mental Health