Changes

On December 2, 2024 at 10:48:09 PM UTC, admin:

Changed title to PEMS-BAY (previously PeMS-Bay)

Set author of PEMS-BAY to Yicheng Zhou (previously Yuankai Wu)

Updated description of PEMS-BAY from
The PeMS-Bay dataset consists of traffic speed time series data from 325 sensors in the Bay Area from January 1, 2017, to May 13, 2017.
to
Urban traffic speed prediction aims to estimate the future traffic speed for improving urban transportation services. The proposed framework is a generic wrapper-style solution to enhance the current GNN-based methods by integrating cross-scale topology-free patterns.

Added the following tags to PEMS-BAY

Changed value of field defined_in to https://doi.org/10.48550/arXiv.2302.09746 in PEMS-BAY

Changed value of field extra_authors to [{'extra_author': 'Pengfei Wang', 'orcid': ''}, {'extra_author': 'Hao Dong', 'orcid': ''}, {'extra_author': 'Denghui Zhang', 'orcid': ''}, {'extra_author': 'Dingqi Yang', 'orcid': ''}, {'extra_author': 'Yanjie Fu', 'orcid': ''}, {'extra_author': 'Pengyang Wang', 'orcid': ''}] in PEMS-BAY

Changed value of field landing_page to https://github.com/ibizatomorrow/DCST in PEMS-BAY

Deleted resource Original Metadata from PEMS-BAY

              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Yuankai Wu", n 3   "author": "Yicheng Zhou",
            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.2006.07527", n 7   "defined_in": "https://doi.org/10.48550/arXiv.2302.09746",
            8   "doi": "10.57702/0tlfkf59", 8   "doi": "10.57702/0tlfkf59",
            9   "doi_date_published": "2024-11-25", 9   "doi_date_published": "2024-11-25",
            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",
            13   "extra_authors": [ 13   "extra_authors": [
            14     { 14     {
            n 15       "extra_author": "Dingyi Zhuang", n 15       "extra_author": "Pengfei Wang",
            16       "orcid": "" 16       "orcid": ""
            17     }, 17     },
            18     { 18     {
            n 19       "extra_author": "Aurelie Labbe", n 19       "extra_author": "Hao Dong",
            20       "orcid": "" 20       "orcid": ""
            21     }, 21     },
            22     { 22     {
            n n 23       "extra_author": "Denghui Zhang",
            24       "orcid": ""
            25     },
            26     {
            23       "extra_author": "Lijun Sun", 27       "extra_author": "Dingqi Yang",
            28       "orcid": ""
            29     },
            30     {
            31       "extra_author": "Yanjie Fu",
            32       "orcid": ""
            33     },
            34     {
            35       "extra_author": "Pengyang Wang",
            24       "orcid": "" 36       "orcid": ""
            25     } 37     }
            26   ], 38   ],
            n 27   "groups": [], n 39   "groups": [
            40     {
            41       "description": "",
            42       "display_name": "Traffic Speed",
            43       "id": "714f3458-edc0-4aeb-bd1e-746d58147d98",
            44       "image_display_url": "",
            45       "name": "traffic-speed",
            46       "title": "Traffic Speed"
            47     },
            48     {
            49       "description": "",
            50       "display_name": "Traffic Speed Prediction",
            51       "id": "9723bbf6-5c7e-45c4-9690-1a3c62558eac",
            52       "image_display_url": "",
            53       "name": "traffic-speed-prediction",
            54       "title": "Traffic Speed Prediction"
            55     }
            56   ],
            28   "id": "dfa97f8f-e181-4a9e-8868-532e779fb464", 57   "id": "dfa97f8f-e181-4a9e-8868-532e779fb464",
            29   "isopen": false, 58   "isopen": false,
            n 30   "landing_page": "", n 59   "landing_page": "https://github.com/ibizatomorrow/DCST",
            31   "license_title": null, 60   "license_title": null,
            32   "link_orkg": "", 61   "link_orkg": "",
            33   "metadata_created": "2024-11-25T14:47:50.260430", 62   "metadata_created": "2024-11-25T14:47:50.260430",
            n 34   "metadata_modified": "2024-11-25T14:47:50.585909", n 63   "metadata_modified": "2024-12-02T22:48:08.242228",
            35   "name": "pems-bay", 64   "name": "pems-bay",
            n 36   "notes": "The PeMS-Bay dataset consists of traffic speed time series  n 65   "notes": "Urban traffic speed prediction aims to estimate the future 
            37 data from 325 sensors in the Bay Area from January 1, 2017, to May 13,  66 traffic speed for improving urban transportation services. The 
            38 2017.", 67 proposed framework is a generic wrapper-style solution to enhance the 
            68 current GNN-based methods by integrating cross-scale topology-free 
            69 patterns.",
            39   "num_resources": 1, 70   "num_resources": 0,
            40   "num_tags": 0, 71   "num_tags": 5,
            41   "organization": { 72   "organization": {
            42     "approval_status": "approved", 73     "approval_status": "approved",
            43     "created": "2024-11-25T12:11:38.292601", 74     "created": "2024-11-25T12:11:38.292601",
            44     "description": "", 75     "description": "",
            45     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 76     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            46     "image_url": "", 77     "image_url": "",
            47     "is_organization": true, 78     "is_organization": true,
            48     "name": "no-organization", 79     "name": "no-organization",
            49     "state": "active", 80     "state": "active",
            50     "title": "No Organization", 81     "title": "No Organization",
            51     "type": "organization" 82     "type": "organization"
            52   }, 83   },
            53   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 84   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            54   "private": false, 85   "private": false,
            55   "relationships_as_object": [], 86   "relationships_as_object": [],
            56   "relationships_as_subject": [], 87   "relationships_as_subject": [],
            n 57   "resources": [ n 88   "resources": [],
            89   "services_used_list": "",
            90   "state": "active",
            91   "tags": [
            58     { 92     {
            n 59       "cache_last_updated": null, n 93       "display_name": "GNN-based methods",
            60       "cache_url": null, 94       "id": "b447169a-e850-4608-b458-c8368bdadea8",
            61       "created": "2024-11-25T15:30:26", 95       "name": "GNN-based methods",
            62       "data": [ 
            63         "dcterms:title", 
            64         "dcterms:accessRights", 
            65         "dcterms:creator", 
            66         "dcterms:description", 
            67         "dcterms:issued", 
            68         "dcterms:language", 
            69         "dcterms:identifier", 
            70         "dcat:theme", 
            71         "dcterms:type", 
            72         "dcat:keyword", 
            73         "dcat:landingPage", 
            74         "dcterms:hasVersion", 
            75         "dcterms:format", 
            76         "mls:task", 
            77         "datacite:isDescribedBy" 
            78       ], 
            79       "description": "The json representation of the dataset with its  
            80 distributions based on DCAT.", 
            81       "format": "JSON", 
            82       "hash": "", 
            83       "id": "6243108c-8f9b-4384-bb5c-888586760f0a", 
            84       "last_modified": "2024-11-25T14:47:50.579517", 
            85       "metadata_modified": "2024-11-25T14:47:50.588657", 
            86       "mimetype": "application/json", 
            87       "mimetype_inner": null, 
            88       "name": "Original Metadata", 
            89       "package_id": "dfa97f8f-e181-4a9e-8868-532e779fb464", 
            90       "position": 0, 
            91       "resource_type": null, 
            92       "size": 733, 
            93       "state": "active", 96       "state": "active",
            n 94       "url":  n 97       "vocabulary_id": null
            95 resource/6243108c-8f9b-4384-bb5c-888586760f0a/download/metadata.json", 98     },
            96       "url_type": "upload" 99     {
            100       "display_name": "San Francisco Bay Area",
            101       "id": "946f9d95-0f2b-485e-a212-f2ba8d468c80",
            102       "name": "San Francisco Bay Area",
            103       "state": "active",
            104       "vocabulary_id": null
            105     },
            106     {
            107       "display_name": "traffic speed",
            108       "id": "f495b8ae-cfee-4e80-9c9f-d7f9185cd294",
            109       "name": "traffic speed",
            110       "state": "active",
            111       "vocabulary_id": null
            112     },
            113     {
            114       "display_name": "traf\ufb01c speed",
            115       "id": "90022b46-7a6f-4300-b222-5a41e035f50e",
            116       "name": "traf\ufb01c speed",
            117       "state": "active",
            118       "vocabulary_id": null
            119     },
            120     {
            121       "display_name": "urban transportation",
            122       "id": "cbf13ed1-a714-460b-b107-cf19e698225a",
            123       "name": "urban transportation",
            124       "state": "active",
            125       "vocabulary_id": null
            97     } 126     }
            98   ], 127   ],
            t 99   "services_used_list": "", t 
            100   "state": "active", 
            101   "tags": [], 
            102   "title": "PeMS-Bay", 128   "title": "PEMS-BAY",
            103   "type": "dataset", 129   "type": "dataset",
            104   "version": "" 130   "version": ""
            105 } 131 }