Data of emission of floral volatiles and damage induced emissions of plants

The file contains a broad data set on the emissions of plant volatile organic compounds from different taxa. This allows cross species comparison of recorded emission pattern. Furthermore, distribution of identified (or unidentified) compounds can be  traced for diferent species. 

All measurements were conducted performed with a mobile ppq-tec-GC-IMS (ION-GAS GmbH, Dortmund, Germany) based on hardware provided by STEP GmbH (Pockau-Lengefeld, Germany). GC pre-separation was performed under isothermal conditions (80°C) for 1500 s on a MXT-200 capillary column (30 m x 0.53 mm, 1.5 µm coating) with a carrier gas flow (filtered air from internal gas circuit) of 21 mL min^-1. Ionization of pVOCs for mobility separation was performed using a tritium source of β-radiation (100 MBq). Mobility separation and subsequent detection were performed with a drift-tube IMS (drift length of 5.61 cm) at 70 °C and at a field strength of 300 V cm^-1.

The dataset contains 14 Variables and a total of 1866 observations (status: 10/06/2023, Version 1.0.0)

4 variables describe the plant material. This includes the variables Species, Genus, Family and Order 

4 variables describe the sampled species. This includes plant part (flower or leaves), plant status (damaged or undamaged), the sample location and the Accession (only if the sample was provided by the Bonn University Botanical Gardens)

6 variables describe the recorded emission patterns. Compound refers to the substance (unidentified compounds are abbreviated with UNK-n), retention time and relative ion mobility (parameters that allow cross species comparison and identification of substances), signal type (for some substances, ion clusters can be observed at higher concentrations. signal type refers to these ion clusters), and signal intensity (semi-quantitative measure for the abundance of a substance) and relative abundance (rel_abund; proportional contribution of a substance within a species, where the strogest signal is 1).