non-thermal

This dataset documents a complete, FAIR-aligned bioimage data workflow integrating Adamant, eLabFTW, and OMERO for an A375 melanoma cell imaging experiment. It includes stepwise visualizations of metadata collection, experiment documentation, data import, annotation, and image rendering across the three platforms. The dataset provides structured metadata at multiple levels, "screen", "plate", and "well", as well as instrument, captured using Adamant, eLabFTW, and Micro-Meta App. Comprehensive biological metadata for each well is supplied in CSV file.

Anode activity in high current vacuum arcs leads to the formation of various high current modes and transitions between them. Intense material evaporation during the anode spot mode and formation of a neutral vapour cloud during the anode plume mode modify the arc plasma properties and, hence, can have a crucial impact in applications, like e.g. reduction of interruption performance of switching devices.

Low direct current arcs generated between Cu electrodes in atmospheric pressure air are investigated in relation to low-voltage switching. Electrical and optical measurements and high-speed imaging give insight into the dynamics of the arc. Side-on spectroscopy with a grating spectrometer and suitable optical imaging delivers spatially resolved spectral emission coefficients of three emission lines of the Cu atom. The experimental findings are compared with results from modelling.

The dataset provides the data related to the modelling of microdischarges in metal vapour of cadmium. Such microdischarges occur in a testing equipment for the safety assessment of electric devices for explosion protection. A one-dimensional unified non-equilibrium model that resolves the entire discharge gap is employed and simulations are conducted for a constant current of 60mA with gap lengths varying between 20 μm and 160 μm. These conditions match the experiment and enable a comparison with measured data.

Wound healing is an important and still challenging task in modern medicine. In particular, the therapeutic options of treating chronic wounds linked to diseases like diabetes are limited. One promising approach is the application of cold atmospheric plasma (CAP) via medical plasma jets or dielectric barrier discharges to specifically stimulate the healing process of non-healing wounds. However, limitations occur regarding the treatment area in case of plasma jets.

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.