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Publications Citing ORNL DAAC Data

List of peer-reviewed publications that cite using ORNL DAAC data.
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Making the US national forest inventory spatially contiguous and temporally consistent
The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities
SiDroForest: a comprehensive forest inventory of Siberian boreal forest investigations including drone-based point clouds, individually labeled trees, synthetically generated tree crowns, and Sentinel-2 labeled image patches
The global spectrum of plant form and function: enhanced species-level trait dataset
Mineral nutrient content of soil and roots of Solanum paniculatum L.
Machine learning based estimation of field-scale daily, high resolution, multi-depth soil moisture for the Western and Midwestern United States
WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America
Identifying sources of uncertainty in wheat production projections with consideration of crop climatic suitability under future climate
The ABCflux database: Arctic-boreal CO<sub>2</sub> flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems
Using rapid repeat SAR interferometry to improve hydrodynamic models of flood propagation in coastal wetlands
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