Changes

On December 3, 2024 at 10:44:23 AM UTC, admin:
Changed title to PhysioNet Dataset (previously Physionet Dataset)
Set author of PhysioNet Dataset to Yingtao Luo (previously Physionet)
Updated description of PhysioNet Dataset from
The Physionet dataset contains multichannel fetal electrocardiogram (FECG) recordings.
to
The dataset used in the paper is the PhysioNet dataset, which contains 8000 time series from ICU stays, each containing measurements from the first 48 hours of a different patient’s admission to ICU.
Removed the following tags from PhysioNet Dataset
Added the following tags to PhysioNet Dataset
Changed value of field defined_in to https://doi.org/10.1145/3534678.3539245 in PhysioNet Dataset
Changed value of field landing_page to in PhysioNet Dataset
Deleted resource Original Metadata from PhysioNet Dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Physionet", n 3   "author": "Yingtao Luo",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [], 5   "citation": [],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "https://doi.org/10.48550/arXiv.2011.12138", n 7   "defined_in": "https://doi.org/10.1145/3534678.3539245",
            8   "doi": "10.57702/1wkd753i", 8   "doi": "10.57702/1wkd753i",
            9   "doi_date_published": "2024-12-02", 9   "doi_date_published": "2024-12-02",
            10   "doi_publisher": "TIB", 10   "doi_publisher": "TIB",
            11   "doi_status": true, 11   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 12   "domain": "https://service.tib.eu/ldmservice",
            n n 13   "extra_authors": [
            14     {
            15       "extra_author": "Chang Xu",
            16       "orcid": ""
            17     },
            18     {
            19       "extra_author": "Yang Liu",
            20       "orcid": ""
            21     },
            22     {
            23       "extra_author": "Weiqing Liu",
            24       "orcid": ""
            25     },
            26     {
            27       "extra_author": "Shun Zheng",
            28       "orcid": ""
            29     },
            30     {
            31       "extra_author": "Jiang Bian",
            32       "orcid": ""
            33     }
            34   ],
            13   "groups": [ 35   "groups": [
            14     { 36     {
            15       "description": "", 37       "description": "",
            n 16       "display_name": "ECG Signal Processing", n 38       "display_name": "Medical Data",
            17       "id": "a4f0520a-d7ff-4baa-923a-c1b52ef326d9", 39       "id": "de4d07f9-eeff-4ecb-bab8-f28a349af0b1",
            18       "image_display_url": "", 40       "image_display_url": "",
            n 19       "name": "ecg-signal-processing", n 41       "name": "medical-data",
            20       "title": "ECG Signal Processing" 42       "title": "Medical Data"
            21     }, 43     },
            22     { 44     {
            23       "description": "", 45       "description": "",
            n 24       "display_name": "Fetal ECG", n 46       "display_name": "Time Series Forecasting",
            25       "id": "bb483c57-d278-4f15-b6f8-8550e540ad87", 47       "id": "2d0040ff-e50c-4b62-a5dc-c4c0241f05f1",
            26       "image_display_url": "", 48       "image_display_url": "",
            n 27       "name": "fetal-ecg", n 49       "name": "time-series-forecasting",
            28       "title": "Fetal ECG" 50       "title": "Time Series Forecasting"
            29     } 51     }
            30   ], 52   ],
            31   "id": "65f0e6a9-45ec-41aa-a978-6954c688472f", 53   "id": "65f0e6a9-45ec-41aa-a978-6954c688472f",
            32   "isopen": false, 54   "isopen": false,
            n 33   "landing_page": "https://www.physionet.org/physioToolkit/ECG/", n 55   "landing_page": "",
            34   "license_title": null, 56   "license_title": null,
            35   "link_orkg": "", 57   "link_orkg": "",
            36   "metadata_created": "2024-12-02T17:43:09.813057", 58   "metadata_created": "2024-12-02T17:43:09.813057",
            n 37   "metadata_modified": "2024-12-02T17:43:10.167666", n 59   "metadata_modified": "2024-12-03T10:44:21.465728",
            38   "name": "physionet-dataset", 60   "name": "physionet-dataset",
            n 39   "notes": "The Physionet dataset contains multichannel fetal  n 61   "notes": "The dataset used in the paper is the PhysioNet dataset, 
            40 electrocardiogram (FECG) recordings.", 62 which contains 8000 time series from ICU stays, each containing 
            63 measurements from the first 48 hours of a different patient\u2019s 
            64 admission to ICU.",
            41   "num_resources": 1, 65   "num_resources": 0,
            42   "num_tags": 3, 66   "num_tags": 3,
            43   "organization": { 67   "organization": {
            44     "approval_status": "approved", 68     "approval_status": "approved",
            45     "created": "2024-11-25T12:11:38.292601", 69     "created": "2024-11-25T12:11:38.292601",
            46     "description": "", 70     "description": "",
            47     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 71     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            48     "image_url": "", 72     "image_url": "",
            49     "is_organization": true, 73     "is_organization": true,
            50     "name": "no-organization", 74     "name": "no-organization",
            51     "state": "active", 75     "state": "active",
            52     "title": "No Organization", 76     "title": "No Organization",
            53     "type": "organization" 77     "type": "organization"
            54   }, 78   },
            55   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 79   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            56   "private": false, 80   "private": false,
            57   "relationships_as_object": [], 81   "relationships_as_object": [],
            58   "relationships_as_subject": [], 82   "relationships_as_subject": [],
            n 59   "resources": [ n 83   "resources": [],
            60     { 
            61       "cache_last_updated": null, 
            62       "cache_url": null, 
            63       "created": "2024-12-02T18:38:42", 
            64       "data": [ 
            65         "dcterms:title", 
            66         "dcterms:accessRights", 
            67         "dcterms:creator", 
            68         "dcterms:description", 
            69         "dcterms:issued", 
            70         "dcterms:language", 
            71         "dcterms:identifier", 
            72         "dcat:theme", 
            73         "dcterms:type", 
            74         "dcat:keyword", 
            75         "dcat:landingPage", 
            76         "dcterms:hasVersion", 
            77         "dcterms:format", 
            78         "mls:task", 
            79         "datacite:isDescribedBy" 
            80       ], 
            81       "description": "The json representation of the dataset with its  
            82 distributions based on DCAT.", 
            83       "format": "JSON", 
            84       "hash": "", 
            85       "id": "7b7145a5-53f9-4a7a-a455-3707609422c6", 
            86       "last_modified": "2024-12-02T17:43:10.160218", 
            87       "metadata_modified": "2024-12-02T17:43:10.170703", 
            88       "mimetype": "application/json", 
            89       "mimetype_inner": null, 
            90       "name": "Original Metadata", 
            91       "package_id": "65f0e6a9-45ec-41aa-a978-6954c688472f", 
            92       "position": 0, 
            93       "resource_type": null, 
            94       "size": 731, 
            95       "state": "active", 
            96       "url":  
            97 resource/7b7145a5-53f9-4a7a-a455-3707609422c6/download/metadata.json", 
            98       "url_type": "upload" 
            99     } 
            100   ], 
            101   "services_used_list": "", 84   "services_used_list": "",
            102   "state": "active", 85   "state": "active",
            103   "tags": [ 86   "tags": [
            104     { 87     {
            n 105       "display_name": "ECG signal processing", n 88       "display_name": "Medical data",
            106       "id": "a56eec08-10b6-4d6c-a166-eb0eabf10bd1", 89       "id": "f1d4e188-7d0a-4b75-baa6-d0a409294dac",
            107       "name": "ECG signal processing", 90       "name": "Medical data",
            108       "state": "active", 91       "state": "active",
            109       "vocabulary_id": null 92       "vocabulary_id": null
            110     }, 93     },
            111     { 94     {
            n 112       "display_name": "Fetal ECG", n 95       "display_name": "Respiration rate",
            113       "id": "ac31e54d-bdd0-4af3-9a6c-87a925151509", 96       "id": "5d98f175-dbce-4aa4-a652-d6df18d31188",
            114       "name": "Fetal ECG", 97       "name": "Respiration rate",
            115       "state": "active", 98       "state": "active",
            116       "vocabulary_id": null 99       "vocabulary_id": null
            117     }, 100     },
            118     { 101     {
            n 119       "display_name": "Physionet", n 102       "display_name": "Time series forecasting",
            120       "id": "8491278d-74c4-4d70-8657-d8c785094c0b", 103       "id": "18149f05-b842-4fbf-bf71-8f1f08548065",
            121       "name": "Physionet", 104       "name": "Time series forecasting",
            122       "state": "active", 105       "state": "active",
            123       "vocabulary_id": null 106       "vocabulary_id": null
            124     } 107     }
            125   ], 108   ],
            t 126   "title": "Physionet Dataset", t 109   "title": "PhysioNet Dataset",
            127   "type": "dataset", 110   "type": "dataset",
            128   "version": "" 111   "version": ""
            129 } 112 }