Biometeorological Dataset for 'Novel algorithms for high resolution prediction of canopy evapotranspiration in grapevine'

A head trained <strong><em>Vitis vinifera</em></strong> L. cv. Zinfandel vine was grafted on St. George rootstock (<em>V. rupestris</em>) then planted in a 1.1 m³ plastic container filled with Yolo County, CA sourced sandy loam.<br> <br> To estimate evapotranspiration, we measured the wind speed, air temperature and relative humidity in vine canopies by mounting each vine with a suite of research grade sensors. We measured wind speed (units m ᐧ s^-1) inside the vine canopy using a single needle anemometer (<em>East 30 Sensors</em>; Pullman, WA) that took instantaneous wind speed measurements every 10 seconds and recorded the average of the previous 12 instantaneous measurements for every 2-minute interval. We measured temperature (units ^oC) and relative humidity (units %) using HMP60L sensors (Campbell Scientific; Logan, UT) mounted both inside and outside of each vine canopy and recorded instantaneous measurements at each 2-minute interval. We filtered all biometeorological data using a 3-hour moving average to remove noise without causing any significant over or under-approximation of daily maxima and minima. We automated all data collection using two CR1000 data loggers (<em>Campbell Scientific</em>; Logan, UT), with 1 or 2 vines and associated sensors per logger, using custom CR1 programs. A single 30W solar cell and 12V lead acid battery powered the entire vine-sensor system. This dataset represents all sensor data from a single vine, as measured in August 2020. Columns are named accordingly and include units. <strong>Please Note</strong>: The column named 'load_cell_kg' is not named accurately. The values given are in units of millivolts, and need to be translated from millivolts to kilograms. The 2020 calibration coefficient is 0.00330693663 millivolts per kilogram.