The data for Infrared spectra of solid HCN embedded in various molecular environments for comparison with the data obtained with JWST

This dataset contains the supplementary data for the ApJL paper 'Infrared spectra of solid HCN embedded in various molecular environments for comparison with the data obtained with JWST'. The laboratory transmittance infrared spectra in the 2.5--15.9 μm (4000--630 1/cm) region are presented for the HCN molecule in different enviroments along with the temperature programmed desorption (TPD) experiments data. The ice analogues are grown utilizing ISEAge UHV cryogenic setup at the Research Laboratory for Astrochemistry, Ural Federal University. The FTIR spectra are recorded using the Thermo Scientific Nicolet iS50 FTIR spectrometer with the resolution of 1 1/cm. Please, look up the main paper for the additional information. The dataset consists of 76 files, each containing a spectrum obtained after deposition at 10 K or from the TPD experiment with the temperature marked in a filename. The spectra are given as wavenumber in 1/cm (column 1, Wavenumber) and dimensionless absorbance (column 2, Absorbance). All the TPD experiments are performed as follows: the warm up starts from 10 K with a 5 K per minute rewarmth rate. The dataset contains the following mixtures of interstellar ice analogues: Records without TPD data (only 10 K spectrum): HCN : H_2O = 1 : 8 HCN : CH_3OH (methanol) = 1 : 8 HCN : CH_3OH (methanol) = 1 : 16 HCN : CO_2 = 1 : 8 HCN : CO_2 = 1 : 16 HCN : CO = 1 : 8 HCN : CO = 1 : 16 HCN : CO = 1 : 32 HCN : C_6H_6 (benzene) = 1 : 32 Records with TPD data: HCN : C_6H_6 (benzene) = 1 : 8 HCN : C_6H_5NH_2 (aniline) = 1 : 8 HCN : C_5H_5N (Py, pyridine) = 1 : 8 HCN : NH_3 : H_2O = 1 : 3 : 8 All the spectra except for the HCN : CO_2 and HCN : NH_3 : H_2O ices are baseline corrected. The spectra taken at 10 K substrate temperature are additionally corrected for the presence of atmospheric water traces along the path of the IR beam outside of the setup. It is necessary to cite the Ozhiganov et al. (2024) American Physical Journal Letters publication when making use of these data, to fully describe the data processing, as well as this Zenodo DOI.