{"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":"6d14d866-9487-4688-84f3-7962a8b6c0ae","name":"bioimaging-data-management-workflow-plasma-medicine-dataset","title":"Bioimaging data management workflow for plasma medicine - dataset","author":"DO NOT USE","author_email":"mohsen.ahmadi@inp-greifswald.de","maintainer":"INPTDAT \u2013 The Data Platform for Plasma Technology","maintainer_email":"wissenschafts-it@inp-greifswald.de","license_title":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","notes":"\u003Cp\u003EThis 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, \u0022screen\u0022, \u0022plate\u0022, and \u0022well\u0022, 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 \u0022.czi\u0022 format and corresponding \u0022TIFF\/XML\u0022 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.\u003C\/p\u003E\n","url":"https:\/\/www.inptdat.de\/dataset\/bioimaging-data-management-workflow-plasma-medicine-dataset","state":"Active","log_message":"Update to resource Bioimaging data management workflow for plasma medicine - raw image data","private":true,"revision_timestamp":"Mon, 02\/02\/2026 - 23:37","metadata_created":"Mon, 01\/26\/2026 - 00:00","metadata_modified":"Mon, 02\/02\/2026 - 23:37","creator_user_id":"0e27023c-5517-4b3f-b96e-c939dc6a74ff","type":"Dataset","resources":[{"id":"fb9afea8-6669-45f7-a4d9-df74a1ea036b","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_Adamant.pdf","description":"\u003Cp\u003EStepwise visualization of metadata collection in Adamant, including interface actions, controlled-vocabulary usage, and export of finalized metadata records into eLabFTW.\u003C\/p\u003E\n","format":"pdf","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - Adamant","mimetype":"application\/pdf","size":"3.13 MB","created":"Tue, 12\/16\/2025 - 08:40","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"a3d3a7b6-f9db-431d-ad74-9fc6e5ae0961","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_eLabFTW.pdf","description":"\u003Cp\u003EStepwise visualization of the sequential steps for accessing experiment records in eLabFTW, highlighting how structured metadata generated in Adamant is integrated into eLabFTW experiment entries.\u003C\/p\u003E\n","format":"pdf","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - eLabFTW","mimetype":"application\/pdf","size":"605.75 KB","created":"Tue, 12\/16\/2025 - 08:40","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"9d544eba-58c9-4c85-894a-1e22c20a0524","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_OMERO.pdf","description":"\u003Cp\u003EStepwise visualization of the comprehensive workflow for data import, annotation, and visualization in OMERO. This includes a visual overview of the OMERO ecosystem, including the image-import process in OMERO.insight (dataset assignment and file hierarchy), the annotation workflow in OMERO.web (tag creation, key-value pair addition, and metadata assignment), and image visualization with rendering adjustments in OMERO.figure (channel level modifications and figure layout preparation).\u003C\/p\u003E\n","format":"pdf","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - OMERO","mimetype":"application\/pdf","size":"1.48 MB","created":"Tue, 12\/16\/2025 - 08:41","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"56eceffd-a7e9-4bef-8fac-be4ca7995320","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_screenMetadata.png","description":"\u003Cp\u003EThe hierarchical structure of metadata resulting from the the screen\u2013plate\u2013well workflow, demonstrating how metadata is organized and linked across experimental, imaging, and data-processing stages.\u003C\/p\u003E\n","format":"png","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - workflow metadata hierarchy","mimetype":"image\/png","size":"867.96 KB","created":"Tue, 12\/16\/2025 - 08:42","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"9345ec99-c7df-42b1-a133-05b0cc8c95c3","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_A375_ScreenMetadata.json","description":"\u003Cp\u003EJSON file containing all biological, experimental, and instrument (microscope) metadata on the screen and plate level exported directly from Adamant for the A375 dataset.\u003C\/p\u003E\n","format":"json","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - screen metadata","mimetype":"application\/json","size":"17.67 KB","created":"Tue, 12\/16\/2025 - 08:46","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"84051b8f-7550-496b-9cc9-25269604bfe6","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_A375_BiologicalMetadata.xlsx","description":"\u003Cp\u003EExcel-based biological metadata for all wells of the A375 showcase experiment, including cell-culture conditions and treatment parameters.\u003C\/p\u003E\n","format":"xlsx","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - biological metadata","mimetype":"application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet","size":"12.2 KB","created":"Tue, 12\/16\/2025 - 08:48","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"2b42e39b-d9cf-4fc1-a741-9605d5bfe80c","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_AxioZ1MicroscopeDescription.json","description":"\u003Cp\u003EFull microscope-configuration metadata acquired using Micro-Meta App, describing optical paths, hardware components, acquisition settings, and calibration parameters. The individual .json files listed in the respective Schema_IDs are individual internal Micro-Meta App schemas.\u003C\/p\u003E\n","format":"json","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - microscope metadata","mimetype":"application\/json","size":"18.03 KB","created":"Tue, 12\/16\/2025 - 08:50","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"47e845e7-c0ea-47d8-82d2-6b4d5fdc21af","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_screenschema.json","description":"\u003Cp\u003EJSON schema for creation of the metadata-collection form using Adamant.\u003C\/p\u003E\n","format":"json","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - screen metadata schema","mimetype":"application\/json","size":"9.02 KB","created":"Tue, 12\/16\/2025 - 08:52","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"},{"id":"8cf1ad03-56a0-46a3-a705-31ff40b9c138","revision_id":"","url":"https:\/\/www.inptdat.de\/system\/files\/node1013_A375_DAPI.zip","description":"\u003Cp\u003EThis dataset contains the raw imaging files for A375 cell line acquired using a 5x DAPI fluorescence workflow on a Zeiss AXIO Observer Z1 microscope operated via ZEN software. Images were captured in a 96-well plate using 3x3 tile scans in the DAPI channel. Each image is available both in original .czi format and as corresponding TIFF\/XML files.\u003C\/p\u003E\n","format":"zip","state":"Active","revision_timestamp":"Mon, 01\/26\/2026 - 14:32","name":"Bioimaging data management workflow for plasma medicine - raw image data","mimetype":"application\/zip","size":"1.97 GB","created":"Tue, 12\/16\/2025 - 08:56","resource_group_id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","last_modified":"Date changed  Mon, 01\/26\/2026 - 14:32"}],"tags":[{"id":"c346bcd5-be2c-4c17-aea8-d9c14ddf94f3","vocabulary_id":"2","name":"research data management"},{"id":"7dcba20f-ce8c-4886-a801-700cd64e265a","vocabulary_id":"2","name":"FAIR"},{"id":"6c91786f-22d2-4c73-bd46-42c0b53cb08c","vocabulary_id":"2","name":"bioimaging"},{"id":"b0e34488-8416-4b3b-90f6-643eaca1d61d","vocabulary_id":"2","name":"plasma medicine"}],"groups":[{"description":"\u003Cp\u003E\u003Cstrong\u003ELeibniz Institute for Plasma Science and Technology\u003C\/strong\u003E\u003Cbr \/\u003E\nFelix-Hausdorff-Str. 2\u003Cbr \/\u003E\n17489 Greifswald\u003Cbr \/\u003E\nGERMANY\u003C\/p\u003E\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.inp-greifswald.de\/en\/\u0022\u003Ehttps:\/\/www.inp-greifswald.de\/en\/\u003C\/a\u003E\u003Cbr \/\u003E\n\u003Cspan class=\u0022spamspan\u0022\u003E\u003Cspan class=\u0022u\u0022\u003Ewelcome\u003C\/span\u003E\u003Cimg class=\u0022spam-span-image\u0022 alt=\u0022at\u0022 width=\u002210\u0022 src=\u0022\/sites\/all\/modules\/spamspan\/image.gif\u0022 \/\u003E\u003Cspan class=\u0022d\u0022\u003Einp-greifswald\u003Cspan class=\u0022t\u0022\u003E [punkt] \u003C\/span\u003Ede\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\n\u003Cp align=\u0022justify\u0022\u003EThe Leibniz Institute for Plasma Science and Technology (INP) is the largest non-university institute in the field of low temperature plasmas, their basics and technical applications in Europe. The institute carries out research and development from idea to prototype. The topics focus on the needs of the market. At present, plasmas for materials and energy as well as for environment and health are the focus of interest. \u003C\/p\u003E\n","id":"8213480c-adb6-4936-8811-f1dd8f8b3a2f","image_display_url":"https:\/\/www.inptdat.de\/sites\/default\/files\/inp.png","title":"INP","name":"group\/inp"}]}]}