{
    "help": "Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string",
    "success": true,
    "result": {
        "id": "4955b752-4fc5-4eb8-90b4-8e8a9f296451",
        "url": "https://www.inptdat.de/node/1033",
        "source": {
            "name": "glow discharge, CCP",
            "application": "non-thermal plasma generation",
            "specification": "AC, DC, high frequency, low pressure, non-thermal",
            "properties": "<p>All modelling studies were performed for two test cases, namely DC and RF low-pressure glow discharges in argon using a plane-parallel electrode configuration. DC case: A contant DC voltage of 350 V is applied at the powered electrode. RF case: a sinusoidal voltage with an amplitude of 350 V and a frequency of 13.56 MHz is used. The gap distance is set to 1 cm.</p>\n",
            "procedure": "<p>The DC and RF discharges a simulated until reaching a quasi-stationary state.</p>\n"
        },
        "medium": {
            "name": "Ar",
            "properties": "<p>Pressure: 1 Torr<br />\nTemperature: 300 K</p>\n",
            "procedure": "<p>Gas temperature and pressure are kept constant throughout the simulations.</p>\n"
        },
        "target": [],
        "diagnostics": {
            "name": "fluid-Poisson model, MCPlas",
            "properties": "<p>The plasma description provided by MCPlas is based on a fluid-Poisson model comprising balance equations for the particle number densities  of species, a balance equation for the energy density of electrons and the Poisson equation for the self-consistent determination of the electric potential and electric field. The particle fluxes and the electron energy flux are described in different drift-diffusion approximations, where DDAn and DDA5/3 are used for electrons.</p>\n",
            "procedure": "<p>The model generated by MCPlas is compared with the COMSOL Plasma Module (CPM). To demonstrate the ability of MCPlas to manage different reaction kinetic models (RKMs), a 4-species and a 23-species RKM are used to model the DC and RF argon plasmas. Furthermore, the reusability of the JSON schema-based input data defining the RKM is demonstrated by a comparison study involving the plasma modelling toolboxes <a href=\"https://plasma-matters.nl\">PLASIMO</a> and <a href=\"https://inp-sdt.github.io/FEDM/build/html/index.html\">FEDM</a>.</p>\n"
        }
    }
}