@misc{indiciaedadc6922b74a,
  title = {Data for A Hybrid Biophysical-Machine Learning Framework for Diurnal Surface Energy Flux Estimation Using Proximal Sensing},
  author = {Cross, James [Department of Food, Agricultural and Biological Engineering, Ohio State University, Columbus, OH, USA; Environmental Sciences Graduate Program, Ohio State University, Columbus, OH, USA] (ORCID:0009000150952347) and Mallick, Kanishka [Université de Toulouse, CESBIO, CNES/CNRS/IRD/INRAE, Toulouse, France] (ORCID:000000022735930X) and Aslan-Sunger, Guler (Rojda) [Department of Agronomy, Iowa State University, Ames, IA, USA] (ORCID:0000000297502378) and VanLoocke, Andy [Department of Agronomy, Iowa State University, Ames, IA, USA] (ORCID:0000000275168479) and Drewry, Darren [Department of Food, Agricultural and Biological Engineering, Ohio State University, Columbus, OH, USA; Environmental Sciences Graduate Program, Ohio State University, Columbus, OH, USA; Department of Horticulture and Crop Science, Ohio State University, Columbus, OH, USA; Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA] (ORCID:0000000325937599)},
  year = {2026},
  doi = {10.13012/b2idb-4942051\_v1},
  url = {https://www.osti.gov/biblio/3484524},
  note = {Source identifier: 3484524}
}