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Dataset for "Forest structure and composition alleviate human thermal stress" published in Global Change Biology

(2022)
Author
Organization
Project
Abstract
This dataset was used for the paper: "Forest structure and composition alleviate human thermal stress". Full methodological details are found in the paper and its appendix.
Keywords
Ecology, Environmental Science, Atmospheric Sciences, Dr.FOREST, Forest microclimate, Heat Stress, Physiologically equivalent temperature (PET), Thermal Comfort, Cold Stress, Forestry Sciences not elsewhere classified, Forestry Management and Environment
License
CC-BY-4.0
Access
open access

Citation

Please use this url to cite or link to this publication:

@misc{01HNABTC4DSMGE41S9RHYN3PDR,
  abstract     = {{This dataset was used for the paper: "Forest structure and composition alleviate human thermal stress". Full methodological details are found in the paper and its appendix.}},
  author       = {{Gillerot, Loïc and De Frenne, Pieter and Verheyen, Kris and Muys, Bart and Jaroszewicz, Bogdan and Scherer-Lorenzen, Michael and Oh, Rachel Rui Ying and Chow, Winston T.L. and Jactel, Hervé and Bruelheide, Helge and Ponette, Quentin and Haluza, Daniela and Landuyt, Dries}},
  keywords     = {{Ecology,Environmental Science,Atmospheric Sciences,Dr.FOREST,Forest microclimate,Heat Stress,Physiologically equivalent temperature (PET),Thermal Comfort,Cold Stress,Forestry Sciences not elsewhere classified,Forestry Management and Environment}},
  publisher    = {{figshare}},
  title        = {{Dataset for "Forest structure and composition alleviate human thermal stress" published in Global Change Biology}},
  url          = {{http://doi.org/10.6084/M9.FIGSHARE.19494818}},
  year         = {{2022}},
}

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