Soil water content raw data, 2015 - 2017, at Manaus, Brazil
Author(s):
Negron-Juarez R; Gimenez B
Dataset Information
Site ID:
BR-Ma2
Site Name:
Manaus - ZF2 K34
Variables:
Soil water content (saturation)
Date Range:
Feb. 15, 2015
-
March 16, 2017
Description:
This data package contains raw soil water content data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil (BR-Ma2). Data was collected over the time period of 2015-02-15
to 2017-03-16. The attached zip file contains data, related metadata excel files, and sensor manuals as PDF files. All sensors on a single Campbell CR3000 data logger were installed near ground on the K34 tower. Additional file level metadata is contained in the referenced dataset. This dataset replaces the soil water content data of two retired packages, http://dx.doi.org/10.15486/ngt/1507764 and http://dx.doi.org/10.15486/ngt/1507767
QA/QC:
None
Methods Description:
The soil water content data was collected using time domain reflectometry (TDR) sensors installed in two pits (1m depth each) located in a plateau area near the K-34 tower (ZF-2 / Manaus). The pit 1 is 12 meters far from K34 tower (-02º36'32.46120''S; -60º12'33.18840''W) and the pit 2 is 30.5 meters far from K34 tower (-02º36'32.96160''S;-60º12'32.70600''W).
Access Level:
Public
Originating Institution(s):
Lawrence Berkeley National Laboratory
Sponsor Organization(s):
None
Contact:
Gimenez, Bruno - National Institute of Amazon Research (INPA) (bruno.oliva.gimenez@gmail.com)
Data Download
Version:
1.0
Dataset Citation:
Negron-Juarez R; Gimenez B (2021): Soil water content raw data, 2015 - 2017, at Manaus, Brazil. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1560860
Acknowledgement:
This material is based upon work supported as part of the Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics) funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research through contract No. DE-AC02-05CH11231 to LBNL, as part of DOE's Terrestrial Ecosystem Science Program. Additional funding for this research was provided by the Brazilian Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Logistical and scientific support is acknowledged by the Forest Management (MF), Climate and Environment (CLIAMB), and Large Scale Biosphere-Atmosphere (LBA) programs at the National Institute for Amazon Research (INPA).
Data Link: Download Dataset
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Reference:
http://dx.doi.org/10.15486/ngt/1556938