The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/cd2dc766-3004-41a3-851c-0365f62c8578

ten Veldhuis, Marie-Claire; Dismukes, Gerard Charles; Ananyev, Gennady (2023): Chlorophyll fluorescence data Yellowstone National Park (YNP) 2022. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/cd2dc766-3004-41a3-851c-0365f62c8578.v1

Dataset

• Plant Biology
• Environmental Engineering
• Climate and Climate Change
• Engineering
• Biological Sciences
• Environment

carbon dioxide, carbon fixation, carbon metabolism, carboxylation, cyclic electron flow, environmental adaptation, plant photosynthesis

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July 2022

CC BY 4.0

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by Marie-Claire ten Veldhuis , Gerard Charles Dismukes , Gennady Ananyev

Chlorophyll fluorescence data obtained using Fast Repetition Rate Fluorometry. Each dataset is collected for a leaf sample of Prunella vulgaris, growing at ambient CO2 or at ~6000 ppm close to geothermal sources in Yellowstone National Park. Fluorometry protocol: 180 trains of 50 flashes per train at 100 Hz flash rate.

• 2023-10-19 first online, published, posted

4TU.ResearchData

data files/txt

• This research was funded by the Plantenna project (www.4tu.nl/plantennae/) that was granted within the ‘High tech for a sustainable future’ call of the Federation of the four Universities of Technology in the Netherlands (www.4TU.nl) 4TU Federation
• Instrumentation construction was supported by the US Department of Energy Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences, grant DE-FG02-10ER16195 (grant code DE-FG02-10ER16195) Department of Energy

Rutgers University, Waksman Institute of Microbiology
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management, Water Resources Section