{
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    "success": true,
    "result": [
        {
            "id": "6d14d866-9487-4688-84f3-7962a8b6c0ae",
            "@context": "http://schema.org",
            "@type": "Dataset",
            "@id": "https://doi.org/10.34711/inptdat.1013",
            "url": "https://www.inptdat.de/node/1013",
            "name": "Bioimaging data management workflow for plasma medicine - dataset",
            "author": [
                {
                    "@type": "Person",
                    "name": "Ahmadi, Mohsen"
                },
                {
                    "@type": "Person",
                    "name": "Wagner, Robert"
                },
                {
                    "@type": "Person",
                    "name": "Bekeschus, Sander"
                },
                {
                    "@type": "Person",
                    "name": "Becker, Markus M."
                }
            ],
            "publisher": {
                "@type": "Organisation",
                "name": "INPTDAT"
            },
            "datePublished": "2026-01-26",
            "description": "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. Detailed microscope-configuration metadata is provided as JSON files. All raw images are included in \".czi\" format and corresponding \"TIFF/XML\" exports (images as .zip file). These materials enable users to test, reproduce, and validate the full workflow, from metadata acquisition and experiment documentation to data import, annotation, and image visualization, providing a FAIR reference implementation of the workflow.",
            "keywords": "research data management, FAIR, bioimaging, plasma medicine"
        }
    ]
}