Time series generated by Langevin equation

Datasets used in paper: Telesca L. and Z. Czechowski, Fisher–Shannon Investigation of the Effect of Nonlinearity of Discrete Langevin Model on Behavior of Extremes in Generated Time Series, Entropy 2023, 25, 1650.

Data and Resources

Additional Info

Field Value
GCMD keywords
  • name: EARTH SCIENCE SERVICES > MODELS URL: https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/e1f20631-b5b9-438c-b5c2-b1fa0fce100a
  • name: EARTH SCIENCE SERVICES > MODELS > PHENOMENOLOGICAL MODELS URL: https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/93809fc5-da7c-4ca2-9585-70f09bd99898
Dataset Center https://dataportal.igf.edu.pl
Maintainer Data Steward
Dataset PI
  • PI name: Zbigniew Czechowski PI email: zczechfoo(at)igf.edu.pl PI ORCID: 0000-0002-7806-6726 PI Institution: Institute of Geophysics, Polish Academy of Sciences PI Department: Theoretical Geophysics
Dataset Owner
  • Owner name: Institute of Geophysics, Polish Academy of Sciences Owner PIC (Participant Identification Code): 996625337 Owner address: ul. Ksiecia Janusza 64, 01-452 Warsaw, Poland
Licence Creative Commons Attribution 4.0 International (CC BY 4.0)
Dataset status Planned
Activity type numerical simulation
Access constraint Open
Embargo
Dataset modified
Metadata created
Quality statement Quality controlled by manual inspection
Quality Editor
  • Editor name: Piotr Klejment Editor email: pklejmentfoo(at)igf.edu.pl Editor Institution: Institute of Geophysics,Polish Academy of Sciences
Spatial distribution
Region
Start time
End time
Dataset citation
Dataset DOI https://doi.org/
External resource
Publication
  • Publication title: Telesca L. and Z. Czechowski, Fisher–Shannon Investigation of the Effect of Nonlinearity of Discrete Langevin Model on Behavior of Extremes in Generated Time Series, Entropy 2023, 25, 1650. Publication DOI: https:// doi.org/10.3390/e25121650
Project
  • Project title: "Influence of memory and nonlinearity on behavior of extremes in geophysical time series with long finite-term persistence" Project ID: UMO-2022/45/B/ST10/01621 Project financing institution: National Science Centre