Data set on volatile compound of coffee flowers at different annual rainfall

This data informs about the profile of volatile compound of coffee flower (Coffee arabica) from different locations with different annual rainfall by using gas chromatography - mass spectrometry (GC-MS). The volatile compounds were captured by solid phase micro extraction (SPME) methods. The extract then subjected to GC-MS for separation and identification of compounds. The profile of volatile compound was provided in, Table 1, Table 2, Table 3 and Table 4.


Data
The data about volatile compound profile of coffee flowers from different locations at different annual rainfall was provided on the Microsoft Excel Worksheet (Table 1eTable 4). The data contain the retention times, names of volatile compound and the peak area of coffee flowers.

Experimental design, materials, and methods
The sample of coffee flower was collected from four locations at different annual rainfall (1500e2000, 2000e2500, 2500e3000, 3000e3500 mm/year). At each location, the coffee flowers were selected and only fresh anthesis flowers were used for this analysis following [1e3] method. From every location, ten fresh flowers (ca. 1.3 g) were placed respectively in 22 mL solid phase micro extraction (SPME) clear glass vial (Supelco Co., Bellefonte, PA, USA) with PTFE/silicone septa and will be Specifications Table   Subject area Agriculture and Biological Science More specific subject area

Biochemical diversity
Type of data Table  How data was  acquired Volatile compound of Coffea arabica flowers from four location were analyzed using gas chromatography (GC: 7890A, Agilent Technologies, Inc.) coupled with mass spectrometry (MS: 5975C, Agilent Technologies, Inc.).

Value of the data
The data showed the profile of volatile compound of Coffea arabica flowers from four locations at different annual rainfall The data will be important for pollination study related to diversity of insect visitors on emitted volatile compound by coffee flower which will contribute to fruit mass formation and coffee bean quality The data will be useful to find out an insect attractant on coffee flower which will contribute on pest/insect control The data can be used for modeling the effect of rainfall on the secretion of volatile compound on coffee flowers The data are important for many stakeholders include farmer, policy makers, researchers, scholars and academics to mitigate climate change especially rainfall fluctuations on coffee production Table 1 Retention times, names of the identified compounds, and relative peak areas (%) in the GC chromatogram from coffee flower at 1500e2000 mm/year annual rainfall.  Table 2 Retention times, names of the identified compounds, and relative peak areas (%) in the GC chromatogram from coffee flower at 2000e2500 mm/year annual rainfall.   Table 3 Retention times, names of the identified compounds, and relative peak areas (%) in the GC chromatogram from coffee flower at 2500e3000 mm/year annual rainfall.    Table 4 Retention times, names of the identified compounds, and relative peak areas (%) in the GC chromatogram from coffee flower at 3000e3500 mm/year annual rainfall. identified using gas chromatography -mass spectrometry (GCMS) after 24hr waiting period. Three set of samples were taken from each location. Analysis of volatile compounds of coffee flowers was conducted in ICRR flavor laboratory (Indonesian Centre for Rice Research) West Java, Indonesia. The flowers were extracted using the procedure of [2] with some modifications. All samples were extracted at 40 C for 45 minutes. With splitless mode, SPME was injected into a gas chromatograph (Agilent 7890A) at 250 C for 5 minutes. The oven temperature initially was set at 50 C held for 5 minutes and then increased to 150 C at the rate of 5 C/min for 2 minutes and then increased to 250 C at the rate of 5 C/min for 5 minutes. The volatile compounds were identified based on their retention times in gas chromatograph equipped with mass spectrometer. HP-5MS (30 m Â 250 mm x 0.25 mm) column was used for the separation. Gas carrier was helium 0.8 ml/min. The relative amounts of volatile compounds from each location were determined by comparing spectra of each compound with library NIST14.

Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.