atmospheric pressure

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 of a unified one-dimensional model of an arc plasma in air dominated by copper metal vapour. The plasma is generated between copper electrodes. The model resembles the microarcs that occur at low-voltage and low-current conditions in switching devices during a contact separation. Data concerning the plasma parameters, including electric potential, temperatures of electron and heavy particles, number densities of charged and neutral species are provided as tables.

The radiative heat transfer in arc plasma models is considered from the point of view of its description in terms of a net emission coefficient, the method of spherical harmonics in its lowest order, and the discrete ordinate method. Net emission coefficients are computed, applying approximate analytical and numerical approaches and a multi-band representation of the spectral absorption coefficient with three kinds of its averaging and two datasets.

The dataset contains results of a unified one-dimensional model of an arc plasma in air, between copper electrodes, that includes the change of the gap distance. The occurance of multiple reversals of the electric field and the anode voltage drop is observed. The evolution of the spatial distribution of the electron and heavy particle temperatures with the gap distance and the opening speed is also studied. The model quantitatively predicts a number of plasma properties under conditions that are relevant to the contact separation in low-voltage switching devices.

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.

The data set comprises full cavity ring-down spectra and absorption coefficients obtained from on/off-resonance measurements, in order to determine the spatial distribution of H2O2 in the cold atmospheric pressure plasma jet kINPen-sci. Therefore, the plasma jet was operated with 3 slm Ar and 3000 ppm water, and was equipped with a gas curtain of 5 slm O2. To determine the effective absorption length, the H2O2 absorption was measured in radial direction. These radial fits had a Gaussian-like shape.

The results of the modelling of a filamentary dielectric barrier discharge (DBD) in argon at atmospheric pressure obtained using a time-dependent and spatially two-dimensional fluid-Poisson model in axisymmetric geometry are provided in this dataset. The model was employed to investigate the formation mechanisms of the striations along the discharge channel in a one-sided DBD arrangement with a 1.5 mm gap powered by a sinusoidal high voltage applied at the metal electrode.

The dataset contains the data presented in the paper introducing the FEDM (Finite Element Discharge Modelling) code. The FEDM code was developed using the open-source computing platform FEniCS (https://fenicsproject.org). Building on FEniCS, the FEDM code utilises the finite element method to solve partial differential equations. It extends FEniCS with features that allow the automated implementation and numerical solution of fully-coupled fluid-Poisson models, including an arbitrary number of particle balance equations.