To cite freqTLS in publications, cite the package and the bayesTLS framework it implements:

Nakagawa S, Arnold P, Pottier P, Noble D (2026). freqTLS: Frequentist Inference for Thermal Load Sensitivity Models. R package version 0.1.0, https://github.com/itchyshin/freqTLS.

Noble D, Arnold P, Pottier P (2026). bayesTLS: Bayesian Thermal Load Sensitivity Models. R package; the thermal-load-sensitivity framework that freqTLS implements (manuscript in preparation). The brown-shrimp and life-stage zebrafish data were obtained from the CC BY 4.0 bayesTLS distribution; please cite bayesTLS when using them. Other datasets retain their component-specific licences and citations; see the entries below and inst/COPYRIGHTS in the source package., https://github.com/daniel1noble/bayesTLS.

Orsted M, Willot Q, Olsen A, Kongsgaard V, Overgaard J (2024). “Data for: Thermal Limits of Survival and Reproduction Depend on Stress Duration: A Case Study of Drosophila suzukii.” doi:10.5281/zenodo.10602268. Dataset, CC BY 4.0.

Li YJ, Chen SY, Jorgensen LB, Overgaard J, Renault D, Colinet H, Ma CS (2023). “Data for: Interspecific Differences in Thermal Tolerance Landscape Explain Aphid Community Abundance under Climate Change.” doi:10.5061/dryad.mcvdnck4j. Dataset, Dryad CC0. Associated article: Journal of Thermal Biology 114: 103583, doi:10.1016/j.jtherbio.2023.103583.

Saruhashi S, Boerrigter JGJ, Hooymans MHL, Sinclair BJ, Verberk WCEP (2026). “Data and Code for: Oxygen Availability and Oxygen Delivery but Not Oxidative Stress Shape Heat Tolerance in Diploid and Triploid Zebrafish Larvae.” doi:10.5281/zenodo.20075355. Dataset, CC BY 4.0. Associated article: Journal of Experimental Biology 229(10): jeb251548, doi:10.1242/jeb.251548.

Corresponding BibTeX entries:

  @Manual{,
    title = {freqTLS: Frequentist Inference for Thermal Load
      Sensitivity Models},
    author = {Shinichi Nakagawa and Pieter A. Arnold and Patrice
      Pottier and Daniel W. A. Noble},
    year = {2026},
    note = {R package version 0.1.0},
    url = {https://github.com/itchyshin/freqTLS},
  }

  @Manual{,
    title = {bayesTLS: Bayesian Thermal Load Sensitivity Models},
    author = {Daniel W. A. Noble and Pieter A. Arnold and Patrice
      Pottier},
    year = {2026},
    note = {R package; the thermal-load-sensitivity framework that
      freqTLS implements (manuscript in preparation). The brown-shrimp
      and life-stage zebrafish data were obtained from the CC BY 4.0
      bayesTLS distribution; please cite bayesTLS when using them.
      Other datasets retain their component-specific licences and
      citations; see the entries below and inst/COPYRIGHTS in the
      source package.},
    url = {https://github.com/daniel1noble/bayesTLS},
  }

  @Misc{,
    title = {Data for: Thermal Limits of Survival and Reproduction
      Depend on Stress Duration: A Case Study of Drosophila suzukii},
    author = {Michael Orsted and Quentin Willot and Andreas Kirk Olsen
      and Viktor Kongsgaard and Johannes Overgaard},
    year = {2024},
    doi = {10.5281/zenodo.10602268},
    note = {Dataset, CC BY 4.0},
  }

  @Misc{,
    title = {Data for: Interspecific Differences in Thermal Tolerance
      Landscape Explain Aphid Community Abundance under Climate
      Change},
    author = {Y J Li and S Y Chen and L B Jorgensen and J Overgaard and
      D Renault and H Colinet and C S Ma},
    year = {2023},
    doi = {10.5061/dryad.mcvdnck4j},
    note = {Dataset, Dryad CC0. Associated article: Journal of Thermal
      Biology 114: 103583, doi:10.1016/j.jtherbio.2023.103583.},
  }

  @Misc{,
    title = {Data and Code for: Oxygen Availability and Oxygen Delivery
      but Not Oxidative Stress Shape Heat Tolerance in Diploid and
      Triploid Zebrafish Larvae},
    author = {S Saruhashi and J G J Boerrigter and M H L Hooymans and B
      J Sinclair and W C E P Verberk},
    year = {2026},
    doi = {10.5281/zenodo.20075355},
    note = {Dataset, CC BY 4.0. Associated article: Journal of
      Experimental Biology 229(10): jeb251548,
      doi:10.1242/jeb.251548.},
  }