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  "author": "Safroshkin, Matvey",
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  "author": "Safroshkin, Matvey",
            
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  "doi": "10.48606/31",
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  "doi": "10.48606/31",
            
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  "doi_date_published": "2022",
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  "doi_date_published": "2022",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Morales-Navarrete, Hernan",
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      "extra_author": "Morales-Navarrete, Hernan",
            
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      "orcid": "0000-0002-9578-2556"
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      "orcid": "0000-0002-9578-2556"
            
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    },
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      "extra_author": "Arutyunov, Grigory",
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      "extra_author": "Arutyunov, Grigory",
            
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      "orcid": "0000-0002-4372-9155"
            
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    {
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      "extra_author": "Toulany, Nikan",
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      "extra_author": "Toulany, Nikan",
            
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      "orcid": "0000-0003-3505-7325"
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      "orcid": "0000-0003-3505-7325"
            
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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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    "approval_status": "approved",
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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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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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    "title": "RADAR",
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    "title": "RADAR",
            
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  "publishers": [
            
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    {
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      "publisher": "Universit\u00e4t Konstanz"
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      "publisher": "Universit\u00e4t Konstanz"
            
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    }
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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": "Software - Trained neural networks for phenotype 
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  "resource_type": "Software - Trained neural networks for phenotype 
            
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classification",
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classification",
            
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      "subject_area_name": "Biology"
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      "subject_area_name": "Biology"
            
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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": "EmbryoNet",
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      "display_name": "EmbryoNet",
            
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      "display_name": "trained models",
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  ],
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  "title": "Embryonet_models",
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  "title": "Embryonet_models",
            
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  "type": "vdataset",
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  "type": "vdataset",
            
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  "url": "https://doi.org/10.48606/31"
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  "url": "https://doi.org/10.48606/31"
            
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}
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}