sdaas - a Python tool computing an amplitude anomaly score of seismic data and metadata using simple machine learning algorithm

Description: Abstract

Global identifier:

Doi(
    "10.5880/GFZ.2.6.2023.009",
)

Origin: /Wissenschaft/Helmholtz-Gemeinschaft/GFZ Helmholtz-Zentrum für Geoforschung

Tags: Metadaten ? Daten ? Künstliche Intelligenz ? EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES ? EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING ? In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS ? In Situ/Laboratory Instruments > Magnetic/Motion Sensors > Seismometers > SEISMOMETERS ? Isolation forest ? Sesimic data anomaly detection ?

License: unbekannt

Language: unbekannt

Organisations

• GFZ Data Services (Herausgeber*in)

Persons

• Zaccarelli, Riccardo (Verfasser*in)
• Zaccarelli, Riccardo (Beitragende*r)

Issued: 2022-01-01

Time ranges: 2022-01-01 - 2022-01-01

Status

Aktiv

Quality score

• Overall: 0.54
• Findability: 0.56

  • Title: 0.43
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  • Keywords: 0.33
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• Accessibility: 0.67

  • Landing page: Specific (1.00)
  • Direct access: false
  • Publicly accessible: true
• Interoperability: 0.25

  • Open file format: false
  • Media type: false
  • Machine-readable metadata: true
  • Machine-readable data: false
• Reusability: 0.67

  • License: NoInformation (0.00)
  • Contact info: true
  • Publisher info: true

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