• Title/Summary/Keyword: site flat file

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KIGAM Quake: An open platform for seismological data and earthquake research information

  • Moon-Gyo Lee;Youngchai Kim;Hyung-Ik Cho;Han-Saem Kim;Chang-Guk Sun;Yun-Jeong Seong;Il-Young Che
    • Geomechanics and Engineering
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    • v.37 no.3
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    • pp.279-291
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    • 2024
  • The "Korea Institute of Geoscience and Mineral (KIGAM) Quake" is a web-based open platform developed for publicly serving seismological data from 61 stations operated by KIGAM in Korea. The service provides meta-information related to observatory sites, sensors, and recorders necessary for utilizing the seismological data, as well as mainly observed continuous and strong-motion waveforms. The data is available through both the web and International Federation of Digital Seismograph Networks (FDSN) web services (open API), a unified data-providing interface in seismology. The platform aims to strengthen its open nature by offering a signal processing function for strong ground motions that can be controlled by user requests. The processed results can be downloaded in ASCII format, designed to meet the increased demands and accessibility in the earthquake engineering field. The platform also offers earthquake research information produced by KIGAM, such as recent major earthquake source information and academic annual report of earthquakes. Additionally, a site flat file was constructed for the geotechnical characteristics of 61 KIGAM station (KGNET) sites based on direct investigations and estimations.

A Method for Identifying Splice Sites and Translation Start Sites in Human Genomic Sequences

  • Kim, Ki-Bong;Park, Kie-Jung;Kong, Eun-Bae
    • BMB Reports
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    • v.35 no.5
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    • pp.513-517
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    • 2002
  • We describe a new method for identifying the sequences that signal the start of translation, and the boundaries between exons and introns (donor and acceptor sites) in human mRNA. According to the mandatory keyword, ORGANISM, and feature key, CDS, a large set of standard data for each signal site was extracted from the ASCII flat file, gbpri.seq, in the GenBank release 108.0. This was used to generate the scoring matrices, which summarize the sequence information for each signal site. The scoring matrices take into account the independent nucleotide frequencies between adjacent bases in each position within the signal site regions, and the relative weight on each nucleotide in proportion to their probabilities in the known signal sites. Using a scoring scheme that is based on the nucleotide scoring matrices, the method has great sensitivity and specificity when used to locate signals in uncharacterized human genomic DNA. These matrices are especially effective at distinguishing true and false sites.

A Study on Development of an Earthquake Ground-motion Database Based on the Korean National Seismic Network (국가지진관측망 기반 지진동 데이터베이스 개발 연구)

  • Choi, Sae-Woon;Rhie, Junkee;Lee, Sang-Hyun;Kang, Tae-Seob
    • Journal of the Earthquake Engineering Society of Korea
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    • v.24 no.6
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    • pp.277-283
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    • 2020
  • In order to improve the ground-motion prediction equation, which is an important factor in seismic hazard assessment, it is essential to obtain good quality seismic data for a region. The Korean Peninsula has an environment in which it is difficult to obtain strong ground motion data. However, because digital seismic observation networks have become denser since the mid-2000s and moderate earthquake events such as the Odaesan earthquake (Jan. 20, 2007, ML 4.8), the 9.12 Gyeongju earthquake (Sep. 12, 2016, ML 5.8), and the Pohang earthquake (Nov. 15, 2017, ML 5.4) have occurred, some good empirical data on ground motion could have been accumulated. In this study, we tried to build a ground motion database that can be used for the development of the ground motion attenuation equation by collecting seismic data accumulated since the 2000s. The database was constructed in the form of a flat file with RotD50 peak ground acceleration, 5% damped pseudo-spectral acceleration, and meta information related to hypocenter, path, site, and data processing. The seismic data used were the velocity and accelerogram data for events over ML 3.0 observed between 2003 and 2019 by the Korean National Seismic Network administered by the Korea Meteorological Administration. The final flat file contains 10,795 ground motion data items for 141 events. Although this study focuses mainly on organizing earthquake ground-motion waveforms and their data processing, it is thought that the study will contribute to reducing uncertainty in evaluating seismic hazard in the Korean Peninsula if detailed information about epicenters and stations is supplemented in the future.