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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Sungbin Choi",
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  "author": "Sungbin Choi",
            
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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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  "doi": "10.57702/agslvn6t",
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  "doi": "10.57702/agslvn6t",
            
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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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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Traffic Forecasting",
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      "display_name": "Traffic Forecasting",
            
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      "name": "traffic-forecasting",
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      "name": "traffic-forecasting",
            
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      "title": "Traffic Forecasting"
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      "title": "Traffic Forecasting"
            
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    }
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    }
            
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  ],
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  "landing_page": "https://www.iarai.ac.at/traffic4cast/",
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  "landing_page": "https://www.iarai.ac.at/traffic4cast/",
            
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  "metadata_modified": "2024-12-16T18:45:20.966271",
            
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  "name": "traffic4cast-challenge-2019",
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  "name": "traffic4cast-challenge-2019",
            
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  "notes": "Traffic4cast challenge 2019 dataset contains 100 billion 
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  "notes": "Traffic4cast challenge 2019 dataset contains 100 billion 
            
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probe points covering 3 cities (Berlin, Istanbul and Moscow) 
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probe points covering 3 cities (Berlin, Istanbul and Moscow) 
            
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throughout a year.",
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throughout a year.",
            
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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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  "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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    {
            
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      "created": "2024-12-16T18:25:36",
            
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      "data": [
            
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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": "99602157-4d76-45a8-85f7-f575d573f713",
            
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      "last_modified": "2024-12-16T18:45:20.958830",
            
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      "metadata_modified": "2024-12-16T18:45:20.969084",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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      "url": 
            
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resource/99602157-4d76-45a8-85f7-f575d573f713/download/metadata.json",
            
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      "url_type": "upload"
            
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  "state": "active",
            
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      "display_name": "speed",
            
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    {
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      "display_name": "traffic forecasting",
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      "display_name": "traffic forecasting",
            
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      "id": "8cf9898f-7989-4730-b96f-2c8578609453",
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      "id": "8cf9898f-7989-4730-b96f-2c8578609453",
            
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      "name": "traffic forecasting",
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      "name": "traffic forecasting",
            
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      "state": "active",
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      "state": "active",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "traffic volume",
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      "display_name": "traffic volume",
            
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      "id": "0c36f379-b879-490c-b599-509c2e4c44a1",
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      "id": "0c36f379-b879-490c-b599-509c2e4c44a1",
            
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      "name": "traffic volume",
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      "name": "traffic volume",
            
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      "state": "active",
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    }
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  ],
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  ],
            
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  "title": "Traffic4cast challenge 2019",
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  "title": "Traffic4cast challenge 2019",
            
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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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}