non-thermal

The data correspond to the results of modelling studies of DC electric arcs at a current of 2 A in air with admixture of copper metal vapour. Experimental findings are used to adjust input parametrs of the model in order to achieve a good match. The simulations are performed strating with a discharge burning with a minimum gap length of 30 µm for a physical time of 11 ms. Then, the separation of the electrodes is followed for further 51 ms and the discharge gap is increased up to 3 mm. The comparision of experimental and modelling data is based on the measured arc voltage.

The results of modelling study of self-pulsing discharges in pure argon at atmospheric pressure in a 1.5 mm gas gap are provided in this dataset. The study investigates the interaction between the electrical circuit and the actual plasma characteristics. A time-dependent, spatially one-dimensional fluid-Poisson model coupled with an equivalent circuit equation is applied to analyse the impact of circuit parameters like resistance and applied negative DC high voltage on basic discharge properties.

This dataset was recorded in order to identify components of cold atmospheric plasma (CAP) that are relevant for affecting dermal microcirculation. It contains time-resolved microcirculation parameters (oxygen saturation (StO2), tissue hemoglobin index, near-infrared perfusion index, tissue water index) assessed on the lateral proximal left arm of 10 healthy volunteers (n=1 per volunteer) by hyperspectral imaging prior and after CAP treatment for 270 s.

The dataset contains results from application of a mid-infrared frequency comb-based Fourier transform spectrometer to measure high-resolution spectra of plasmas containing hydrogen, nitrogen, and a carbon source in the 2800 – 3400 cm–1 range. The spectrally broadband and high-resolution capabilities of this technique enable quantum-state-resolved spectroscopy of multiple plasma-generated species simultaneously, including CH4, C2H2, C2H6, NH3, and HCN, providing detailed information beyond the limitations of current methods.

Plasma-activated chemical transformations promise the efficient synthesis of salient chemical products. However, the reaction pathways that lead to desirable products are often unknown, and key quantum-state-resolved information regarding the involved molecular species is lacking. Here we use quantum cascade laser dual-comb spectroscopy (QCL-DCS) to probe plasma-activated NH3 generation with rotational and vibrational state resolution, quantifying state-specific number densities via broadband spectral analysis.

The dataset contains a set of 180 images showing the dynamics of the effluent of the kINPen Science at a distance of 7 mm in front of a grounded copper plate. The image data set can be analysed by means of the open-source BLITZ image viewer (https://github.com/CodeSchmiedeHGW/BLITZ), shading light on the plasma-induced flow dynamics.

This work serves to highlight the difference of the distinct spatial distribution of H2O2 (hydrogen peroxide) in the effluent of the kINPen-sci plasma jet and the COST reference microplasma jet (COST Jet) operated with humidified helium. For this purpose, the density of H2O2 has been measured spatially resolved using cavity-enhanced absorption spectroscopy employing continuous wave cavity ring-down spectroscopy (cw-CRDS) with a tunable mid-infrared laser.

This data set contains the data shown in the corresponding publication in Applied Physics Letters (https://doi.org/10.1063/5.0160303). This publication presents a benchmark of THz absorption spectroscopy against a more established method. Atomic oxygen densities were measured with THz absorption spectroscopy and compared to those obtained from picosecond (ps) two-photon absorption laser induced fluorescence (TALIF) measurements on the same capacitively coupled radio frequency oxygen discharge.