br Acknowledgements The research is funded

Acknowledgements The research is funded by Azienda Unità Sanitaria Locale (AUSL) of Bologna. (Fondi Sanzioni D.Lgs. 758/2011). The authors are grateful for this support.
Data Data presented here deal with monitoring of selected heavy metals including Cd, Pb and As in Aghili plain, Khuzestan province, Iran. Fig. 1 shows the study area and the sampling points. A summary of characteristics of soil samples are presented in Table 1. Table 2 shows descriptive statistics of results for heavy metal concentrations. The correlation between different variables are presented in Table 3. Results of pollution level assessment are presented in Table 4. Fig. 2 shows the variations of selected heavy metals concentrations including As, Pb and Cd in entire area of research zone. Zonings of Cd, Pb and As in Aghili plain are presented in Figs. 3–5, respectively.
Experimental design, materials and methods
Acknowledgements This paper is issued from thesis of Amaneh Azarmansuri and financial support was provided by Ahvaz Jundishapur University of Medical Sciences (Grant no: ETRC 9426).
Data Mortierella elongata is an oleaginous fungus able to accumulate lipids. The data of lipids extraction from M. elongata are presented in the Table 1. The total lipids extraction from M. elongata were 14.95% and 8.54%, by MC and HIP method, respectively, using simulated low cost sugarcane wastewater, vinasse as a carbon source. Triacylglycerol (TGA) was highest lipid class observed, which is in accordance with previous studies for genus Mortierella, using other substrate [5]. Considering the HIP and MC lipids extraction process, the mixture Hexane/Isopropanol has less polar lipid interaction properties than Chloroform/Methanol [6], which reduce the extraction of phospholipids as observed in the data presented in the Table 1. According to Fig. 1 (Chromatograms in the Supplementary data), it is presented the data profile of lipids by chain length and saturation, since C18:0, C18:1 and C20:4, the Arachidonic LY2584702 (ARA) were the predominant lipids. The Fig. 2 shows data of percentage and amount of ARA extracted by lipid class. In HIP method there was a high ARA extraction by percentage (26.0 %) of total fatty acids and in recovery weight (156.45mg of ARA g-1 of TGA and 168.81mg of ARA g-1 of TL) in five days of culture (Fig. 2), using simulated vinasse as a carbon source.
Experimental design, materials and methods
Acknowledgements The authors are grateful to São Paulo Research Foundation (FAPESP) for funding this Project (2014/07848-8).
Specification Table
Data value
Data
Materials and methods The joint probability method with joint behavior of two random variables (X and Y) was used to compute MSDI, and the joint distribution of two variables can be expressed as follows:where p is the joint probability of the precipitation and soil moisture. Additionally, MSDI can be defined as follows [3]:where is the standard normal distribution function. In this article, an alternative methodology based on an empirical joint probability was used, which was the Grigorten plotting position formula [2]:where is the number of occurrences of the pair () for and , and is the number of the observation. For the computation of SSI, a univariate form of the Gringorten plotting position formula (Eq. (5)) [2] was also used:where is the number of observations is the rank of the measured values from the smallest. Furthermore, MPDSI [5] was used for evaluation of future drought conditions. Historic and future MPDSI values were computed using the input and output from SWAT, which were as follows: precipitation, potential and actual evapotranspiration, soil moisture, and runoff. MPDSI is based on the water balance equation and the adjustment between the actual and climatological estimation known as “Climatically appropriate for existing conditions (CAFEC)”:where PE is the potential evapotranspiration, PR is the potential recharge, PRO is the potential runoff, and PL is the potential soil moisture loss, and the coefficient are the ratios of the mean variables. In this article, weekly based SSI, MSDI (25-week scale), and MPDSI were computed based on input and output variables from the SWAT model.