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Title: Soil water content raw data, 2015 - 2017, at Manaus, Brazil

Abstract

Raw soil water content data from K34 tower site on a plateau near Manaus, Brazil. Attached files include data, related metadata excel files, and sensor manual PDFs. 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.

Authors:
;
  1. LBNL
  2. National Inst of Amazon Research (INPA)
Publication Date:
Other Number(s):
NGT0111
DOE Contract Number:  
DE-AC02-05CH11231
Product Type:
Dataset
Research Org.:
Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; Lawrence Berkeley National Lab
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1560860
DOI:
10.15486/ngt/1560860

Citation Formats

Negron-Juarez, Robinson, and Gimenez, Bruno. Soil water content raw data, 2015 - 2017, at Manaus, Brazil. United States: N. p., 2019. Web. doi:10.15486/ngt/1560860.
Negron-Juarez, Robinson, & Gimenez, Bruno. Soil water content raw data, 2015 - 2017, at Manaus, Brazil. United States. doi:10.15486/ngt/1560860.
Negron-Juarez, Robinson, and Gimenez, Bruno. 2019. "Soil water content raw data, 2015 - 2017, at Manaus, Brazil". United States. doi:10.15486/ngt/1560860. https://www.osti.gov/servlets/purl/1560860. Pub date:Tue Jan 01 00:00:00 EST 2019
@article{osti_1560860,
title = {Soil water content raw data, 2015 - 2017, at Manaus, Brazil},
author = {Negron-Juarez, Robinson and Gimenez, Bruno},
abstractNote = {Raw soil water content data from K34 tower site on a plateau near Manaus, Brazil. Attached files include data, related metadata excel files, and sensor manual PDFs. 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.},
doi = {10.15486/ngt/1560860},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}