  This article describes location aware temperature profiles from six
strawberry shipments across the continental United States. Three pallets were
instrumented in each shipment with three vertically placed loggers to take a
longitudinal and latitudinal snapshot of 9 strategically different locations
(including the top, middle and bottom layers of the pallets placed in the back,
middle and the front of the shipping container) for a combined 54 measurement
points across shipments of varying lengths. The sensors were instrumented in
the field, right at the point of harvest, recorded temperatures every every 5
to 10 minutes depending on the shipment, and uploaded their data periodically
via cellular radios on each device. The data is a result of significant
collaboration between stakeholders from farmers to distributors to retailers to
academics, which can play an important role for researchers and educators in
food engineering, cold-chain, machine learning, and data mining, as well as in
other disciplines related to food and transportation.
