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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Lingyu Feng",
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  "author": "Lingyu Feng",
            
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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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  "defined_in": "https://doi.org/10.1063/5.0195042",
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  "defined_in": "https://doi.org/10.1063/5.0195042",
            
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  "doi": "10.57702/6axuuy6e",
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  "doi": "10.57702/6axuuy6e",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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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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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Ting Gao",
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      "extra_author": "Ting Gao",
            
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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": "Wang Xiao",
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      "extra_author": "Wang Xiao",
            
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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": "Jinqiao Duan",
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      "extra_author": "Jinqiao Duan",
            
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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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      "description": "",
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      "description": "",
            
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      "name": "brain-computer-interface",
            
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      "title": "Brain-Computer Interface"
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      "title": "Brain-Computer Interface"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "eeg-data",
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      "name": "eeg-data",
            
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      "title": "EEG data"
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      "title": "EEG data"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Epilepsy",
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      "display_name": "Epilepsy",
            
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      "image_display_url": "",
            
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      "name": "epilepsy",
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      "name": "epilepsy",
            
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      "title": "Epilepsy"
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      "title": "Epilepsy"
            
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    }
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  "landing_page": "https://github.com/LY-Feng/EW-in-latent-SD",
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  "landing_page": "https://github.com/LY-Feng/EW-in-latent-SD",
            
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  "license_title": null,
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-03T10:25:04.496455",
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  "metadata_modified": "2024-12-03T10:25:04.841842",
            
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  "name": "eeg-data-from-epileptic-patients",
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  "name": "eeg-data-from-epileptic-patients",
            
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  "notes": "The dataset used in the paper is EEG data from epileptic 
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  "notes": "The dataset used in the paper is EEG data from epileptic 
            
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patients, which is used to detect early warning indicators for abrupt 
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patients, which is used to detect early warning indicators for abrupt 
            
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dynamical transitions in complex systems or high-dimensional 
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dynamical transitions in complex systems or high-dimensional 
            
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observation data.",
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observation data.",
            
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distributions based on DCAT.",
            
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      "name": "Brain-Computer Interface",
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      "display_name": "EEG",
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      "id": "f84b0d4f-fe38-4628-b244-01ee2b51bcc7",
            
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      "name": "EEG",
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      "name": "EEG",
            
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      "display_name": "Epilepsy",
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      "display_name": "Epilepsy",
            
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      "id": "75b2b450-7ba8-44f3-bb6a-c665bebb2611",
            
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      "name": "Epilepsy",
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      "name": "Epilepsy",
            
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      "state": "active",
            
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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": "EEG data from epileptic patients",
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  "title": "EEG data from epileptic patients",
            
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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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}