E-Field_Log Metadata, BR-Ma2: Manaus, 2016 - 2017

Author(s): Jardine K; Gimenez B; Christianson D; Varadharajan C; Robles E


Dataset Information

Site ID: BR-Ma2

Site Name: Manaus - ZF2 K34

Variables: Leaf gas exchange; Leaf temperature; Leaf water potential; Sapflow; Soil water content (saturation)

Date Range: May 24, 2016 - June 16, 2017

Description: This data package contains the Excel file "E-Field_Log_v1-1_BR-Ma2_20190725_20190910175444," which has metadata for sap velocity, leaf temperature, leaf gas exchange, and soil water content data packages. Each data package is listed in the below field "dataset references." All data was collected from the NGEE Tropics site in Manaus, Brazil (BR-Ma2), between 24 May 2016 and 16 March 2017. This dataset replaces the E-Field metadata file of two retired packages, NGT0019 and NGT0040. This metadata file includes site details, species information, equipment used, and more. For more information about the design and use of the E-Field_Log and accompanying metadata files, see Danielle Christianson, Charuleka Varadharajan, Brad Christoffersen, Matteo Detto, Boris Faybishenko, Val Hendrix, Kolby Jardine, Robinson Negron-Juarez, Bruno Gimenez, Gilberto Pastorello, Thomas Powell, Megha Sandesh, Jeffrey Warren, Brett Wolfe, Jeff Chambers, Lara Kueppers, Nate McDowell, Deb Agarwal(2018). FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1419956.

QA/QC: None

Methods Description: FRAMES is a a set of Excel metadata files and package-level descriptive metadata that are designed to facilitate and improve capture of desired metadata for ecohydrological observations. The metadata are bundled with data files into a data package and submitted to a data repository (e.g. the NGEE Tropics Data Repository) via a web form. FRAMES standardizes reporting of diverse ecohydrological and biogeochemical data for synthesis across a range of spatiotemporal scales and incorporates many best data science practices.

Access Level: Public

Originating Institution(s): Lawrence Berkeley National Laboratory; National Institute for Amazon Research

Sponsor Organization(s): None

Contact: Jardine, Kolby - Lawrence Berkeley National Laboratory (kjjardine@lbl.gov)


Data Download

Version: 1.0

Dataset Citation: Jardine K; Gimenez B; Christianson D; Varadharajan C; Robles E (2022): E-Field_Log Metadata, BR-Ma2: Manaus, 2016 - 2017. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1556938

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

NGEE Tropics data policy.


Reference:

Kolby Jardine, Bruno Gimenez(2019). Sapflow raw and translated data, 2015 - 2017, BR-Ma2: Manaus. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1561986.

Kolby Jardine, Bruno Gimenez, Robinson Negron-Juarez, Israel Sampaio(2019). Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1561988.

Kolby Jardine, Raquel Fernandes, Luani Rosa(2019). Leaf gas exchange raw data, 2015 - 2017, at Manaus, Brazil. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1560859.

Robinson Negron-Juarez, Bruno Gimenez(2019). Soil water content raw data, 2015 - 2017, at Manaus, Brazil. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1560860.