The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.

This dataset consists of six years of weighing lysimeter data for winter wheat grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in the 1989-1990, 1991-1992, and 1992-1993 seasons. Winter wheat was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data. This particular dataset contains lysimeter soil water storage and drainage data, and data from in-soil and above-soil sensors. Properties sensed included wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year.

ARDN (Agricultural Research Data Network) annotations for "Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) - Field trial data from Live Oak, Florida". The ARDN project (https://data.nal.usda.gov/ardn) is a network of datasets harmonized and aggregated using a common vocabulary termed ICASA. ICASA is a recommended data dictionary by USDA NAL (https://data.nal.usda.gov/data-dictionary-examples) described in detail here: www.tinyurl.com/icasa-mvl. Research was conducted at the North Florida Research and Education Center - Suwannee Valley, located near Live Oak, Florida (30°18’22” N, 82°54’00” W). Corn, carrots, peanuts, and rye (cover crop) were grown on Hurricane, Chipley, and Blanton soil complexes that are all over 90% sand. The experimental design utilized a randomized complete block design with split plot that incorporated two fields with eight blocks (treatment replicates) and fifteen plots per block. The main plots contained four irrigation treatments, and the sub-plots contained three different nitrogen rates. The SMS irrigation treatment contained three additional nitrogen treatments. The north field in the study (System 2) was a corn-cover crop-peanut-cover crop rotation, while the south field (System 1) was a corn-carrot-peanut-cover crop rotation. During each growing season, soil moisture was monitored using capacitance type soil moisture sensors, soil nitrogen was measured through bi-weekly soil samples at four depths, and biomass was collected four times with the final sample being collected just prior to harvest.

Irrigator Pro is an expert system designed to provide irrigation scheduling recommendations based on scientific data resulting in conservation minded irrigation management. The success of Irrigator Pro for Peanuts created interest in other groups. A collaborative effort between the NPRL, Cotton Commission, University of Georgia, and the Peanut Foundation was established to create comparable models for cotton and corn.