: 190211.zarr

Validating: /190211.zarr/zarr.json

Using version 0.5. Using schema: /spec-rfc2/latest/schemas/plate.schema
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{
  • attributes: {
    • ome: {
      • "version": "0.5" ,
      • "bioformats2raw.layout": 3 ,
      • plate: { ... } , // 5 items
      • _creator: { ... } // 3 items
      }
    } ,
  • "zarr_format": 3 ,
  • "node_type": "group"
}

RO-Crate metadata

ro-crate-metadata.json
{
  "@context": [
    "https://w3id.org/ro/crate/1.1/context",
    {
      "organism_classification": "https://schema.org/taxonomicRange",
      "BioChemEntity": "https://schema.org/BioChemEntity",
      "channel": "https://www.openmicroscopy.org/Schemas/Documentation/Generated/OME-2016-06/ome_xsd.html#Channel",
      "obo": "http://purl.obolibrary.org/obo/",
      "FBcv": "http://ontobee.org/ontology/FBcv/",
      "acquisiton_method": {
        "@reverse": "https://schema.org/result",
        "@type": "@id"
      },
      "biological_entity": "https://schema.org/about",
      "biosample": "http://purl.obolibrary.org/obo/OBI_0002648",
      "preparation_method": "https://www.wikidata.org/wiki/Property:P1537",
      "specimen": "http://purl.obolibrary.org/obo/HSO_0000308"
    }
  ],
  "@graph": [
    {
      "@id": "./",
      "@type": "Dataset",
      "name": "idr0090 Ashdown Malaria",
      "description": "A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens",
      "license": "https://creativecommons.org/licenses/by/4.0/",
      "resultOf": {
        "@id": "#02f9bc8c-6509-4db9-b896-d4cbc09e9a05"
      }
    },
    {
      "@id": "ro-crate-metadata.json",
      "@type": "CreativeWork",
      "conformsTo": {
        "@id": "https://w3id.org/ro/crate/1.1"
      },
      "about": {
        "@id": "./"
      }
    },
    {
      "@id": "#3fc105b4-4b88-4f2b-8f23-2e1de1eb096c",
      "@type": "biosample",
      "organism_classification": {
        "@id": "NCBI:txid36329"
      }
    },
    {
      "@id": "#5b0c7cb8-ed66-467e-a6d2-f5c20d99e8fe",
      "@type": "specimen",
      "biosample": {
        "@id": "#3fc105b4-4b88-4f2b-8f23-2e1de1eb096c"
      }
    },
    {
      "@id": "#02f9bc8c-6509-4db9-b896-d4cbc09e9a05",
      "@type": "image_acquisition",
      "fbbi_id": {
        "@id": "obo:FBbi_00000246"
      },
      "specimen": {
        "@id": "#5b0c7cb8-ed66-467e-a6d2-f5c20d99e8fe"
      }
    }
  ]
}

Validating 31 Wells and in each Well.