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{
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{
            
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  "author": "Toulany, Nikan",
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  "author": "Toulany, Nikan",
            
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  "author_email": "",
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  "author_email": "",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.48606/79",
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  "doi": "10.48606/79",
            
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  "doi_date_published": "2023",
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  "doi_date_published": "2023",
            
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  "doi_publisher": "",
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  "doi_publisher": "",
            
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  "doi_status": "True",
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  "doi_status": "True",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "200cc792-4a4f-4122-912f-6fbb5f899e5a",
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  "id": "200cc792-4a4f-4122-912f-6fbb5f899e5a",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC BY 4.0 Attribution",
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  "license_id": "CC BY 4.0 Attribution",
            
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  "license_title": "CC BY 4.0 Attribution",
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  "license_title": "CC BY 4.0 Attribution",
            
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  "metadata_created": "2023-05-02T07:10:16.593897",
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  "metadata_created": "2023-05-02T07:10:16.593897",
            
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  "metadata_modified": "2023-08-04T09:03:50.958765",
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  "metadata_modified": "2023-08-04T09:27:59.863938",
            
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  "name": "rdr-doi-10-48606-79",
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  "name": "rdr-doi-10-48606-79",
            
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  "notes": "Other: The data comprises bright-field time-lapse images 
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  "notes": "Other: The data comprises bright-field time-lapse images 
            
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of zebrafish embryos acquired in multiple batches within multi-well 
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of zebrafish embryos acquired in multiple batches within multi-well 
            
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plates using an Acquifer Imaging Machine. Embryos from incrosses of 
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plates using an Acquifer Imaging Machine. Embryos from incrosses of 
            
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Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging 
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Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging 
            
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started with embryos between 0.5-1 hpf and ended with embryos between 
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started with embryos between 0.5-1 hpf and ended with embryos between 
            
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24.5-25 hpf. Images of embryos were acquired at 360 acquisition time 
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24.5-25 hpf. Images of embryos were acquired at 360 acquisition time 
            
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points with a time interval of 240 s between each acquisition time 
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points with a time interval of 240 s between each acquisition time 
            
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point. Individual embryo segments were identified and extracted using 
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point. Individual embryo segments were identified and extracted using 
            
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a trained neural network for object detection. Within this experiment 
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a trained neural network for object detection. Within this experiment 
            
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folder, data are organized by microscope position and embryo number.",
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folder, data are organized by microscope position and embryo number.",
            
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  "num_resources": 0,
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  "num_resources": 0,
            
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  "num_tags": 7,
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  "num_tags": 7,
            
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  "orcid": "0000-0003-3505-7325",
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  "orcid": "0000-0003-3505-7325",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-01-12T13:30:23.238233",
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    "created": "2023-01-12T13:30:23.238233",
            
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    "description": "RADAR (Research Data Repository) is a 
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    "description": "RADAR (Research Data Repository) is a 
            
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cross-disciplinary repository for archiving and publishing research 
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cross-disciplinary repository for archiving and publishing research 
            
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data from completed scientific studies and projects. The focus is on 
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data from completed scientific studies and projects. The focus is on 
            
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research data from subjects that do not yet have their own 
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research data from subjects that do not yet have their own 
            
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discipline-specific infrastructures for research data management. ",
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discipline-specific infrastructures for research data management. ",
            
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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    "image_url": "radar-logo.svg",
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    "image_url": "radar-logo.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "radar",
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    "name": "radar",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "RADAR",
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    "title": "RADAR",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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  "private": false,
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  "private": false,
            
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  "production_year": "2020-2023",
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  "production_year": "2020-2023",
            
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  "publication_year": "2023",
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  "publication_year": "2023",
            
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  "publishers": [
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  "publishers": [
            
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    {
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    {
            
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      "publisher": "University of Konstanz"
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      "publisher": "University of Konstanz"
            
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    }
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    }
            
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  ],
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  ],
            
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  "related_identifiers": [
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  "related_identifiers": [
            
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    {
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    {
            
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      "identifier": "10.48606/50",
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      "identifier": "10.48606/50",
            
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      "identifier_type": "DOI",
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      "identifier_type": "DOI",
            
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      "relation_type": "IsPartOf"
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      "relation_type": "IsPartOf"
            
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    }
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    }
            
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  ],
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  ],
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "repository_name": "RADAR (Research Data Repository)",
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  "repository_name": "RADAR (Research Data Repository)",
            
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  "resource_type": "Dataset - Dataset for Twin Network; Brightfield 
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  "resource_type": "Dataset - Dataset for Twin Network; Brightfield 
            
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microscopy data of zebrafish embryos 0.5-25hpf",
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microscopy data of zebrafish embryos 0.5-25hpf",
            
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  "resources": [],
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  "resources": [],
            
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  "services_used_list": "",
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  "services_used_list": "",
            
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  "source_metadata_created": "2023",
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  "source_metadata_created": "2023",
            
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  "source_metadata_modified": "",
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  "source_metadata_modified": "",
            
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  "state": "active",
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  "state": "active",
            
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  "subject_areas": [
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  "subject_areas": [
            
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    {
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    {
            
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      "subject_area_additional": "",
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      "subject_area_additional": "",
            
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      "subject_area_name": "Biology"
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      "subject_area_name": "Biology"
            
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    }
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    }
            
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  ],
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  ],
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Twin Network",
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      "display_name": "Twin Network",
            
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      "id": "577497b6-6d97-4c41-b0b2-dbaefb6702eb",
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      "id": "577497b6-6d97-4c41-b0b2-dbaefb6702eb",
            
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      "name": "Twin Network",
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      "name": "Twin Network",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "TwinNet",
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      "display_name": "TwinNet",
            
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      "id": "1ba52854-ef13-464f-ab07-2e57070491c3",
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      "id": "1ba52854-ef13-464f-ab07-2e57070491c3",
            
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      "name": "TwinNet",
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      "name": "TwinNet",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "computational biology",
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      "display_name": "computational biology",
            
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      "id": "d65dd4ed-b2a9-41b0-9d19-cb77b1965ff1",
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      "id": "d65dd4ed-b2a9-41b0-9d19-cb77b1965ff1",
            
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      "name": "computational biology",
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      "name": "computational biology",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "deep learning",
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      "display_name": "deep learning",
            
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      "id": "19e41883-3799-4184-9e0e-26c95795b119",
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      "id": "19e41883-3799-4184-9e0e-26c95795b119",
            
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      "name": "deep learning",
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      "name": "deep learning",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "developmental biology",
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      "display_name": "developmental biology",
            
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      "id": "4acec762-54a0-4ecf-884d-e65d76375c46",
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      "id": "4acec762-54a0-4ecf-884d-e65d76375c46",
            
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      "name": "developmental biology",
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      "name": "developmental biology",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "embryogenesis",
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      "display_name": "embryogenesis",
            
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      "id": "b66e6284-edc5-4f9b-97c8-4699c36c7352",
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      "id": "b66e6284-edc5-4f9b-97c8-4699c36c7352",
            
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      "name": "embryogenesis",
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      "name": "embryogenesis",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "zebrafish",
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      "display_name": "zebrafish",
            
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      "id": "98db8ebb-7bdf-40cb-adc7-4b6ad2ed20f7",
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      "id": "98db8ebb-7bdf-40cb-adc7-4b6ad2ed20f7",
            
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      "name": "zebrafish",
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      "name": "zebrafish",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Twinnetworkdataset021",
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  "title": "Twinnetworkdataset021",
            
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  "type": "vdataset",
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  "type": "vdataset",
            
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  "url": "https://doi.org/10.48606/79"
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  "url": "https://doi.org/10.48606/79"
            
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}
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}