Database on holdover time of lightning-ignited wildfires

  1. Moris, Jose V. 1
  2. Álvarez-Álvarez, Pedro 2
  3. Conedera, Marco 3
  4. Dorph, Annalie 4
  5. Hessilt, Thomas D. 5
  6. Hunt, Hugh G.P. 6
  7. Libonati, Renata 7
  8. Menezes, Lucas S. 7
  9. Müller, Mortimer M. 8
  10. Pérez-Invernón, Francisco J. 9
  11. Pezzatti, Gianni B. 3
  12. Pineda, Nicolau 10
  13. Scholten, Rebecca C. 5
  14. Veraverbeke, Sander 5
  15. Wotton, B. Mike 11
  16. Ascoli, Davide 1
  1. 1 University of Turin
    info

    University of Turin

    Turín, Italia

    ROR https://ror.org/048tbm396

  2. 2 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  3. 3 Swiss Federal Institute for Forest, Snow and Landscape Research WSL
  4. 4 University of Melbourne
    info

    University of Melbourne

    Melbourne, Australia

    ROR https://ror.org/01ej9dk98

  5. 5 VU University Amsterdam
    info

    VU University Amsterdam

    Ámsterdam, Holanda

    ROR https://ror.org/008xxew50

  6. 6 University of the Witwatersrand
    info

    University of the Witwatersrand

    Johannesburgo, Sudáfrica

    ROR https://ror.org/03rp50x72

  7. 7 Universidade Federal do Rio de Janeiro
    info

    Universidade Federal do Rio de Janeiro

    Río de Janeiro, Brasil

    ROR https://ror.org/03490as77

  8. 8 University of Natural Resources and Life Sciences BOKU
  9. 9 Institute of Astrophysics of Andalusia IAA-CSIC
  10. 10 Meteorological Service of Catalonia
  11. 11 Canadian Forest Service
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Editor: Zenodo

Año de publicación: 2022

Tipo: Dataset

DOI: 10.5281/ZENODO.7352172 lock_openAcceso abierto editor

Resumen

This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of the database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.