VTEC and Virtual Stations dataset of Elazig and Maras regions

Dataset Description:   01. VTEC Data     - Data type: VTEC (Vertical Total Electron Content) calculations obtained with ionolab from GNSS stations of Tusaga-aktif [1,2]     - Temporal coverage: ±1 month around earthquake mainshocks          a) Elazig Earthquake Region        - Mainshock date: 24.01....

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Hauptverfasser: Yalçın, Emrah, CANYILMAZ, Murat
Format: Dataset
Sprache:eng
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Zusammenfassung:Dataset Description:   01. VTEC Data     - Data type: VTEC (Vertical Total Electron Content) calculations obtained with ionolab from GNSS stations of Tusaga-aktif [1,2]     - Temporal coverage: ±1 month around earthquake mainshocks          a) Elazig Earthquake Region        - Mainshock date: 24.01.2020        - GNSS stations: ADY1, ELAZ, ERGN, ERZ2, VIR2        - Time range: 24.12.2019 00:00:00 - 24.02.2020 23:59:30          b) Maras Earthquakes Region        - Mainshocks date: 06.02.2023        - GNSS stations: ADN2, ADY1, ANTE, ARST, EKZ1, FEEK, HAT2, KLS1, MAR1, ONIY, TUF1        - Time range: 06.01.2023  00:00:00 - 06.03.2023 23:59:30   02. Filtered VTEC Data     - Processed version of VTEC data     - Filtering methodology detailed in manuscript*   03. Daily Anomaly Ratios     - Derived from filtered VTEC data     - Calculation methodology detailed in manuscript*   04. Station Location Data     - Geographical coordinates of GNSS stations     - Earthquake epicenter coordinates     - Station-to-epicenter distance calculations   05. Station Distance Coefficients     - Derived from station location data     - Calculation methodology detailed in manuscript*   06. Virtual Station Data     - Derived product from Daily Anomaly Ratios and Station distance coefficients     - Generation methodology detailed in manuscript*   * manuscript : "Detection of Pre-Seismic TEC Anomalies Using Isolation Forest: Virtual Station Analysis for Elazig and Maras Earthquakes"   [1] TUSAGA-Aktif —. www.tusaga-aktif.gov.tr. [Accessed 15-06-2023] [2] IONOLAB - Ionosphere Research Laboratory — ionolab.org. https://www.ionolab.org/. [Accessed 15-06-2023]  
DOI:10.5281/zenodo.14018099