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{
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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Ibrahim Ethem Hamamci",
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  "author": "Ibrahim Ethem Hamamci",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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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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  "defined_in": "",
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  "defined_in": "",
            
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  "doi": "10.57702/enlkmheu",
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  "doi": "10.57702/enlkmheu",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Sezgin Er",
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      "extra_author": "Sezgin Er",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Anjany Sekuboyina",
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      "extra_author": "Anjany Sekuboyina",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Enis Simsar",
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      "extra_author": "Enis Simsar",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alperen Tezcan",
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      "extra_author": "Alperen Tezcan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ayse Gulnihan Simsek",
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      "extra_author": "Ayse Gulnihan Simsek",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sevval Nil Esirgun",
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      "extra_author": "Sevval Nil Esirgun",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Furkan Almas",
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      "extra_author": "Furkan Almas",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Muhammed Furkan Dasdelen",
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      "extra_author": "Muhammed Furkan Dasdelen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Chinmay Prabhakar",
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      "extra_author": "Chinmay Prabhakar",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Hadrien Reynaud",
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      "extra_author": "Hadrien Reynaud",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sarthak Pati",
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      "extra_author": "Sarthak Pati",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Christian Bluethgen",
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      "extra_author": "Christian Bluethgen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Mehmet Kemal Ozdemir",
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      "extra_author": "Mehmet Kemal Ozdemir",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Bjoern Menze",
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      "extra_author": "Bjoern Menze",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Medical Imaging",
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      "display_name": "Medical Imaging",
            
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      "id": "b86e8f52-a230-44ce-b290-7823c9f6a877",
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      "id": "b86e8f52-a230-44ce-b290-7823c9f6a877",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "medical-imaging",
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      "name": "medical-imaging",
            
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      "title": "Medical Imaging"
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      "title": "Medical Imaging"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "cfee06f7-3618-4824-ba87-ad936b4aebff",
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  "id": "cfee06f7-3618-4824-ba87-ad936b4aebff",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://github.com/ibrahimethemhamamci/GenerateCT",
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  "landing_page": "https://github.com/ibrahimethemhamamci/GenerateCT",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-16T18:36:02.542984",
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  "metadata_created": "2024-12-16T18:36:02.542984",
            
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  "metadata_modified": "2024-12-16T18:36:02.542990",
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  "metadata_modified": "2024-12-16T18:36:03.289586",
            
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  "name": 
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  "name": 
            
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"generatect--text-conditional-generation-of-3d-chest-ct-volumes",
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"generatect--text-conditional-generation-of-3d-chest-ct-volumes",
            
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  "notes": "The dataset comprises 25,701 non-contrast 3D chest CT 
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  "notes": "The dataset comprises 25,701 non-contrast 3D chest CT 
            
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volumes with a 512\u00d7512 resolution and varying axial slice counts 
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volumes with a 512\u00d7512 resolution and varying axial slice counts 
            
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ranging from 100 to 600. These volumes originate from 21,314 unique 
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ranging from 100 to 600. These volumes originate from 21,314 unique 
            
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patients and have been reconstructed using multiple methods 
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patients and have been reconstructed using multiple methods 
            
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appropriate for different window settings.",
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appropriate for different window settings.",
            
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  "num_resources": 0,
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  "num_resources": 1,
            
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  "num_tags": 3,
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  "num_tags": 3,
            
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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": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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    "description": "",
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    "description": "",
            
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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    "image_url": "",
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    "image_url": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "no-organization",
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    "name": "no-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "No Organization",
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    "title": "No Organization",
            
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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": "079d46db-32df-4b48-91f3-0a8bc8f69559",
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  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
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  "private": false,
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  "private": false,
            
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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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  "resources": [],
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  "resources": [
            
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    {
            
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      "cache_last_updated": null,
            
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      "cache_url": null,
            
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      "created": "2024-12-16T18:25:35",
            
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      "data": [
            
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        "dcterms:title",
            
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        "dcterms:accessRights",
            
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        "dcterms:creator",
            
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        "dcterms:description",
            
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        "dcterms:issued",
            
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        "dcterms:language",
            
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        "dcterms:identifier",
            
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        "dcat:theme",
            
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        "dcterms:type",
            
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        "dcat:keyword",
            
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        "dcat:landingPage",
            
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        "dcterms:hasVersion",
            
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        "dcterms:format",
            
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        "mls:task"
            
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      ],
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "b0df4a70-2dab-4463-8bb2-b119c51be2f9",
            
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      "last_modified": "2024-12-16T18:36:03.282079",
            
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      "metadata_modified": "2024-12-16T18:36:03.292412",
            
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      "mimetype": "application/json",
            
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      "mimetype_inner": null,
            
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      "name": "Original Metadata",
            
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      "package_id": "cfee06f7-3618-4824-ba87-ad936b4aebff",
            
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      "position": 0,
            
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      "resource_type": null,
            
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      "size": 1203,
            
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      "state": "active",
            
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      "url": 
            
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resource/b0df4a70-2dab-4463-8bb2-b119c51be2f9/download/metadata.json",
            
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      "url_type": "upload"
            
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    }
            
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  ],
            
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  "services_used_list": "",
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  "services_used_list": "",
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "3D Chest CT Volumes",
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      "display_name": "3D Chest CT Volumes",
            
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      "id": "f97f38e0-0157-4af9-9659-f826033c72d7",
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      "id": "f97f38e0-0157-4af9-9659-f826033c72d7",
            
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      "name": "3D Chest CT Volumes",
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      "name": "3D Chest CT Volumes",
            
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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": "Medical Imaging",
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      "display_name": "Medical Imaging",
            
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      "id": "10261ea5-4420-472c-8004-e29d20a88fb8",
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      "id": "10261ea5-4420-472c-8004-e29d20a88fb8",
            
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      "name": "Medical Imaging",
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      "name": "Medical Imaging",
            
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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": "Text-Conditional Generation",
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      "display_name": "Text-Conditional Generation",
            
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      "id": "1ff83953-3896-47f5-9fe4-bab6de045b44",
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      "id": "1ff83953-3896-47f5-9fe4-bab6de045b44",
            
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      "name": "Text-Conditional Generation",
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      "name": "Text-Conditional Generation",
            
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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": "GenerateCT: Text-Conditional Generation of 3D Chest CT 
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  "title": "GenerateCT: Text-Conditional Generation of 3D Chest CT 
            
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Volumes",
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Volumes",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}