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Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Meteorological and Ecosystem Flux Data for: Net ecosystem production in an old-growth tropical dry forest in Northwestern Mexico

Authors: Enrico A. Yepez; Nidia E. Rojas;

Meteorological and Ecosystem Flux Data for: Net ecosystem production in an old-growth tropical dry forest in Northwestern Mexico

Abstract

This dataset accompanies the paper: Net ecosystem production in an old-growth tropical dry forest in Northwestern México which is submitted for publication at the Journal of Geophysical Research - Biogeosciences With this data set, we explore the functionality as a carbon source or sink of an old-growth tropical dry forest in the carbon cycle and its functional relationship with water and light across years with different precipitation patterns in Northwestern México, using 3 continuous years of water, energy, and carbon flux measurements from an eddy covariance tower and also a meteorological arrangement.

We thank the Consejo Nacional de Ciencia y Tecnología (CONACYT) in México for the graduate fellowship to N.E.R. (278991,). This research project was supported by CB-2013-01: 221014 to E.A.Y.

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Keywords

old-growth forest, Tropical dry forest, Eddy covariance, Biogeosciences

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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