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Data-driven modeling and learning in science and engineering
In the past, data in which science and engineering is based, was scarce and frequently
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy
exchange between the biosphere and the atmosphere, and other meteorological and …
exchange between the biosphere and the atmosphere, and other meteorological and …
A simple and objective method to partition evapotranspiration into transpiration and evaporation at eddy-covariance sites
Separating evapotranspiration (ET) into evaporation (E) and transpiration (T) is challenging
but key for a better understanding and prediction of the hydrological cycle and plant water …
but key for a better understanding and prediction of the hydrological cycle and plant water …
AmeriFlux BASE data pipeline to support network growth and data sharing
AmeriFlux is a network of research sites that measure carbon, water, and energy fluxes
between ecosystems and the atmosphere using the eddy covariance technique to study a …
between ecosystems and the atmosphere using the eddy covariance technique to study a …
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity …
A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux
(H), and gross primary production (GPP) is developed using a machine learning approach …
(H), and gross primary production (GPP) is developed using a machine learning approach …
A process approach to quality management doubles NEON sensor data quality
C Sturtevant, E DeRego, S Metzger… - Methods in Ecology …, 2022 - Wiley Online Library
A quality management system is critical for ensuring that the data and services provided by
an organization meet the needs of its mission. With a mission to collect long‐term open …
an organization meet the needs of its mission. With a mission to collect long‐term open …
Water use efficiency and its drivers in four typical agroecosystems based on flux tower measurements
Understanding the interactive responses of agroecosystem water use efficiency (WUE) to
climatic and vegetation factors is significant for revealing how ecohydrological processes …
climatic and vegetation factors is significant for revealing how ecohydrological processes …
Towards a data quality framework for heterogeneous data
Every industry has significant data output as a product of their working process, and with the
recent advent of big data mining and integrated data warehousing it is the case for a robust …
recent advent of big data mining and integrated data warehousing it is the case for a robust …
Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites
Remote sensing-based evapotranspiration (ET) products have been evaluated primarily
using data from northern middle latitudes; therefore, little is known about their performance …
using data from northern middle latitudes; therefore, little is known about their performance …
Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence
Vegetation transpiration (T) is the process of plant water loss through the stomata on the leaf
surface and plays a key role in the energy and water balance of the land surface, especially …
surface and plays a key role in the energy and water balance of the land surface, especially …