Dataset

Dataset for "Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis"

Kooijmans, L. (Creator), Sun, W. (Creator), Aalto, J. (Creator), Erkkila, K. (Creator), Maseyk, K. (Creator), Seibt, U. (Creator), Vesala, T. (Creator), Mammarella, I. (Creator), Chen, H. (Creator), University of Groningen, 3-Apr-2018

Dataset

  • Linda Kooijmans (Creator)
  • Wu Sun (Creator)
  • Juho Aalto (Creator)
  • Kukka-Maaria Erkkila (Creator)
  • Kadmiel Maseyk (Creator)
  • Ulli Seibt (Creator)
  • Timo Vesala (Creator)
  • Ivan Mammarella (Creator)
  • Huilin Chen (Creator)
  • University of Helsinki

Description

Measurements between February and July 2017 in Hyytiälä, Finland as presented in "Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis". Dataset consists of: branch fluxes and mole fractions of COS and CO2; LRU; eddy-covariance fluxes of COS and CO2; COS-based GPP estimates and GPP based on nighttime respiration extrapolated to the daytime; stomatal conductance; internal conductance; meteorological information.
Date made available3-Apr-2018
PublisherUniversity of Groningen
Temporal coverageFeb-2017 - Jul-2017
Geographical coverageHyytiälä, Finland
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • CO2, CO, carbon dioxide, carbon monoxide, photosynthesis
Related Publications
  1. Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis

    Kooijmans, L. M. J., Sun, W., Aalto, J., Erkkilä, K-M., Maseyk, K., Seibt, U., Vesala, T., Mammarella, I. & Chen, H., 25-Jan-2019, In : Proceedings of the National Academy of Sciences.

    Research output: Contribution to journalArticleAcademicpeer-review

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  1. Dataset for "Canopy uptake dominates nighttime carbonyl sulfide fluxes in a boreal forest"

    Kooijmans, L. (Creator), Maseyk, K. (Creator), Seibt, U. (Creator), Sun, W. (Creator), Vesala, T. (Creator), Mammarella, I. (Creator), Kolari, P. (Creator), Aalto, J. (Creator), Franchin, A. (Creator), Vecchi, R. (Creator), Valli, G. (Creator), Chen, H. (Creator), University of Groningen, 16-May-2017

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ID: 67182474