Many tasks in fluids engineering require prediction of turbulence
of jet flows. The present document documents the single-point
statistics of velocity, mean and variance, of cold and hot jet
flows. The jet velocities ranged from 0.5 to 1.4 times the ambient
speed of sound, and temperatures ranged from unheated to static
temperature ratio 2.7. Further, the report assesses the accuracies
of the data, e.g., establish uncertainties for the data. This paper
covers the following five tasks: (1) Document acquisition and
processing procedures used to create the particle image velocimetry
(PIV) datasets. (2) Compare PIV data with hotwire and laser Doppler
velocimetry (LDV) data published in the open literature. (3)
Compare different datasets acquired at the same flow conditions in
multiple tests to establish uncertainties. (4) Create a consensus
dataset for a range of hot jet flows, including uncertainty bands.
(5) Analyze this consensus dataset for self-consistency and compare
jet characteristics to those of the open literature. The final
objective was fulfilled by using the potential core length and the
spread rate of the half-velocity radius to collapse of the mean and
turbulent velocity fields over the first 20 jet diameters.
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