Table 7 Decomposition steps of the complexes based on the thermogravimetric data Complex DTG maximum temp.
The results showed that monthly max value of daily mean temp, tropical night, monthly maximum value of daily maximum temp, monthly maximum value of daily minimum temp and cool days were found to be statistically significant climate change indices.
Accordingly, monthly max value of daily mean temp (TMAXmean), Tropical nights (TR20), monthly maximum value of daily maximum temp (TXx), monthly maximum value of daily minimum temp (TNx) and cool days (TX10p) were found to be statistically significant climate change indices.
Productivity-based curves were conducted at the location scale only, because of our reliance on productivity surrogate variables (latitude, ice thickness, ice duration, maximum water temp and light at sea floor).
(iii) Productivity; rank ordering locations based on productivity surrogates (e.g., latitude, ice thickness, ice duration, maximum water temp, light at sea floor and sediment Chl a, phaeophytin, % carbon and nitrogen) should not produce a species accumulation curve that is significantly different from a randomized species accumulation curve.
In Study B, the response parameter was taken as the difference in the maximum temperature (Temp Diff) between post-vaccination and pre-vaccination conditions for time-matched images over consecutive 24 h periods.
In addition, a second thermocouple probe was placed 10 mm above the coated wafers where a maximum headspace temp of 151 °C was noted when processed at 200 ºC.
Table 5 Summary of results of simple quasi-Poisson GLMs of number of Quercus kelloggii seedlings recruited (response variable) as a quadratic function of July average maximum temperature measured at two heights (temp. height) Temp.
UV = UV index, Temp = average maximum temperature, RH = relative humidity, AtmP = atmospheric pressure, PC1 and PC2 = genetic principal components, k = number of parameter estimates, RSS = residual sum of squares, AICc = Akaike information criterion adjusted for the sample size, w = conditional model probability (likelihood of model i divided by the sum of model likelihoods).
Temp t l is a matrix produced by DLNM to model non-linear and distributed lag effects of ambient temperature over the current day (lag 0) to lag l days, and β is vector of coefficients for Temp t,l ; The maximum lag l was set to 25 days to explore the lag structure of temperature effect [ 17].
