Jardine K; Zorzanelli R; Gimenez B; Robles E; Rosa L
Caxiuana Forest-Almeirim; Manaus - ZF2 K34
This data package contains raw leaf gas exchange data used to support the publication "Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin," Phytochemistry, in-press. Data was collected from 162 individuals, distributed among 25 botanical families and 113 species, from four sites in the Amazon. The data was collected using a modified portable photosynthesis system for environmental control coupled to a thermal desorption tube for volatile isoprenoid collections. Collected TD tube samples were analysed in Manaus, Brazil, using thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). The dataset includes both photosynthesis and isoprene/monoterpene emission rates from leaves under standard environmental conditions as well as controlled light response curves.
For detailed methods and raw data, refer to the publication and related material cited in Dataset References.
Lawrence Berkeley National Laboratory; National Institute for Amazon Research (INPA)
U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research
Robles, Emily - Lawrence Berkeley National Laboratory ([email protected])
Jardine K; Zorzanelli R; Gimenez B; Robles E; Rosa L (2020): Raw leaf gas exchange data in the Amazon basin, 2014-2016. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1602143
Data Link: Download Dataset
1. Kolby Jardine, Raquel Zorzanelli, Bruno Gimenez, Emily Robles, Luani Rosa(2020). Raw leaf isoprene and monoterpene emission GC-MS chromatograms/calibrations for MassHunter software, Brazil, 2014-2016. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1602144.
2. Kolby Jardine, Raquel Zorzanelli, Bruno Gimenez, Emily Robles, Luani Rosa(2020). Leaf isoprene and monoterpene emission data-set across hyperdominant tree genera in the Amazon basin. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1602142.