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Title: Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil

Abstract

This data package contains raw leaf surface temperature data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil, including automated and manually collected time series data on leaf surface temperature (thermocouples, IR radiometer, thermocamera). Leaf surface temperature (LST) was determined throughout diurnal periods using individual type T thermocouples (Omega Engineering) on 8 individual leaves of a single tree. Mature leaves at the same height and general area near the tower were selected. LST measurements were taken every 15 s and recorded on a field portable self-powered data logger (OM-CP-OCTTEMP-A, Omega Engineering). Measurements were stopped in the case of a storm or rain which can remove the attached thermocouple wires from the leaf due to large wind-driven branch movements. Included in the attached zip file are six folders: three with LST data in Excel and CSV file formats from both the K34 and B34 towers, one folder with data logger configuration programs that were used for data collection, a fifth folder with PDF files of manuals for instruments used and a final folder with two Excel metadata files. See dataset references for associated metadata package. This dataset replaces the leaf surface temperature data of two retired packages,more » http://dx.doi.org/10.15486/ngt/1507764 and http://dx.doi.org/10.15486/ngt/1507767« less

Authors:
; ; ;
  1. Lawrence Berkeley National Laboratory
  2. National Institute of Amazon Research (INPA)
  3. National Institute for Amazonian Research (INPA)
Publication Date:
Other Number(s):
NGT0102
DOE Contract Number:  
DE-AC02-05CH11231
Research Org.:
Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); National Institute for Amazon Research
Sponsoring Org.:
U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1561988
DOI:
https://doi.org/10.15486/ngt/1561988

Citation Formats

Jardine, Kolby, Gimenez, Bruno, Negron-Juarez, Robinson, and Sampaio, Israel. Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil. United States: N. p., 2022. Web. doi:10.15486/ngt/1561988.
Jardine, Kolby, Gimenez, Bruno, Negron-Juarez, Robinson, & Sampaio, Israel. Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil. United States. doi:https://doi.org/10.15486/ngt/1561988
Jardine, Kolby, Gimenez, Bruno, Negron-Juarez, Robinson, and Sampaio, Israel. 2022. "Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil". United States. doi:https://doi.org/10.15486/ngt/1561988. https://www.osti.gov/servlets/purl/1561988. Pub date:Sat Jan 01 00:00:00 EST 2022
@article{osti_1561988,
title = {Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil},
author = {Jardine, Kolby and Gimenez, Bruno and Negron-Juarez, Robinson and Sampaio, Israel},
abstractNote = {This data package contains raw leaf surface temperature data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil, including automated and manually collected time series data on leaf surface temperature (thermocouples, IR radiometer, thermocamera). Leaf surface temperature (LST) was determined throughout diurnal periods using individual type T thermocouples (Omega Engineering) on 8 individual leaves of a single tree. Mature leaves at the same height and general area near the tower were selected. LST measurements were taken every 15 s and recorded on a field portable self-powered data logger (OM-CP-OCTTEMP-A, Omega Engineering). Measurements were stopped in the case of a storm or rain which can remove the attached thermocouple wires from the leaf due to large wind-driven branch movements. Included in the attached zip file are six folders: three with LST data in Excel and CSV file formats from both the K34 and B34 towers, one folder with data logger configuration programs that were used for data collection, a fifth folder with PDF files of manuals for instruments used and a final folder with two Excel metadata files. See dataset references for associated metadata package. This dataset replaces the leaf surface temperature data of two retired packages, http://dx.doi.org/10.15486/ngt/1507764 and http://dx.doi.org/10.15486/ngt/1507767},
doi = {10.15486/ngt/1561988},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Jan 01 00:00:00 EST 2022},
month = {Sat Jan 01 00:00:00 EST 2022}
}