The wet tests were conducted in an isothermal condition, with an ambient and skin mean temperatures averaged ∼35 °C, the evaporative resistance, Ret, varied between 36 and 60 m2 Pa W−1.
We assessed the changes in temperature associated with each dam by comparing daily mean temperatures, averaged among the years before and after construction of the dam.
When fine-grained environmental variables are used in analyses of individual phenotypic plasticity for avian phenology, they are commonly daily mean temperatures averaged over certain fixed calendar dates, which limits the possibility to extrapolate to other systems.
With July mean temperatures averaging about 60 °F (16 °C) and daily temperatures reaching only into the 70s and sometimes 80s (i.e., between about 21 and 29 °C), climate does not prevent the growth of certain crops.
In the Waikato region, daily mean temperature averaged 15°C in pasture streams, around 2°C higher than in indigenous and planted forest streams.
The observed 5 year mean temperature averaged over the upper 500 m of the SPG is shown in Figure 1a (red and blue shading).
We controlled simultaneously for the effects of mean temperature averaged on the day of and on the day before death (mean lag 0 1) and averaged across days 2 6 before death (mean lag 2 6).
Expected mean temperature averages from a 30-year-period (temp) for each site were obtained from the New Zealand National Climate Database (NIWA 2005).
These included average annual mean temperature, average annual minimum and maximum temperature, average winter minimum and maximum temperature, average annual rainfall and total monthly rainfall in winter and in summer.
The main input features employed to train individual and hybrid neural networks that include average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed and average cloudiness.
The input feature vector includes average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed, average cloudiness and output layer composed of two neurons to represent rainy and dry weather.
