Specifications Table

Subject	Agriculture and Biological Science
Specific subject area	Biochemical diversity. The data provide insights into the metabolic profiles of flowers and green beans from the robusta coffee plant, demonstrating a biochemical diversity
Type of data	Table
How data were acquired	The volatile compounds from the flowers of the robusta coffee plant were extracted by solid-phase microextraction (SPME) and analyzed using gas chromatography-mass spectrometry (GC-MS; GC: 7890A, MS: 5975C, Agilent Technologies, Inc., CA, USA). The skin pulp, green beans, and peaberry green beans were extracted using a maceration method with a methanol-based solvent and were analyzed using GC-MS (GC: 6890N, MS: 5973, Agilent Technologies, Inc.)
Data format	Raw
Parameters for data collection	The five parts of the robusta coffee plant, i.e., flowers, skin pulp of beans, skin pulp of peaberries, green beans, and peaberry green beans, were analyzed. All parts were collected from Coffea canephora cv. Tugusari.
Description of data collection	All samples was collected from a low land robusta coffee orchard (at 680 m above sea level). Only fresh anthesis flowers and mature coffee fruits (cherries) were picked for analysis. The beans were processed using a wet-hulled method. Volatile compounds in the coffee flowers were analyzed, and the profiles of secondary metabolites were analyzed from the skin pulp and beans. Floral volatile compounds were extracted by SPME, whereas metabolites from the skin pulp and beans were extracted by maceration with methanol as a solvent. Identification of volatile compounds, determination of retention times, and measurement of peak areas were performed using GC-MS.
Data source location	Jember District, East Java – Indonesia at South Latitude 08° 13′ and East Longitude 113° 55’.
Data accessibility	With the article