Sentence examples for mean temperature data from inspiring English sources

Two examples data sets were used to demonstrate the use of smoothing by regularization: a model data set constructed by adding random errors to a sine curve and global mean temperature data from the NASA Goddard Institute for Space Studies.

Model predictions are generally in good agreement with the velocity, liquid volume flow rate and mean temperature data and are shown to have a low sensitivity to the sparse stochastic particle resolution.

The mean temperature data in each 5-year period used in this study demonstrated the temperature difference across LGAs but did not examine the seasonality of temperature and suicide changes over time.

Monthly mean temperature data were obtained from the Central England Temperature Series (Parker et al., 1992; Met Office Hadley Centre observation datasets, 2009) and monthly precipitation data were from England and Wales Precipitation (Alexander & Jones, 2001; Met Office Hadley Centre observation datasets HadUKP, 2010).

Daily mean temperature data were aggregated from daily minimum and maximum temperatures, an index designed to better estimate exposure as it uses multiple observations per day and so should be less prone to measurement error compared with other temperature indices (21).

The daily mean temperature data was provided by the Agricultural Meteorology Department of HAU.

Daily mean temperature and humidity data came from the National Weather Service and the U.S. EPA Aerometric Information Retrieval System National Weather Servicee 2004; U.S. EPA 2004).

Daily mean temperature and rainfall data were obtained from a regional meteorological center, India Meteorological Department (IMD), Pune.

To allow adjustment for the effect of weather conditions on mortality, we obtained daily mean temperature and humidity data from the Shanghai Meteorological Bureau database.

We also calculated daily 24-hr mean concentrations of NO2 and SO2 and 8-hr mean (1000 hours to 1800 hours) concentrations of O3 using data from the Tsuen Wan station and collected daily mean temperature and relative humidity data for the same period from the Hong Kong Observatory.

Weekly dengue incidence data, daily mean temperature and precipitation and the midyear population data in Singapore during 2000 2007 were retrieved and analysed.