Changes

On December 3, 2024 at 7:54:30 AM UTC, admin:
Changed title to PeMS-BAY (previously PeMS-Bay)
Set author of PeMS-BAY to Bing Yu (previously Song Yang)
Updated description of PeMS-BAY from
The PeMS-Bay dataset is a highway speed dataset for traffic forecasting collected by California Transportation Agencies (CalTrans) Performance Measurement System (PeMS).
to
The trafﬁc forecasting problem can be categorized into three types, namely, based on the length of prediction, i.e., short-term (less than 30 min) and long term(30 ∼ 60 min).
Removed the following tags from PeMS-BAY
Added the following tags to PeMS-BAY
Changed value of field defined_in to https://doi.org/10.48550/arXiv.1903.00919 in PeMS-BAY
Changed value of field extra_authors to [{'extra_author': 'Mengzhang Li', 'orcid': ''}, {'extra_author': 'Jiyong Zhang', 'orcid': ''}, {'extra_author': 'Zhanxing Zhu', 'orcid': ''}] in PeMS-BAY
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2307.05517'] in PeMS-BAY
Changed value of field landing_page to https://www.pems.net/data/ in PeMS-BAY
Deleted resource Original Metadata from PeMS-BAY
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Song Yang", n 3   "author": "Bing Yu",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
            6     "https://doi.org/10.48550/arXiv.2307.05517"
            7   ],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "https://doi.org/10.48550/arXiv.2109.05225", n 9   "defined_in": "https://doi.org/10.48550/arXiv.1903.00919",
            8   "doi": "10.57702/0tlfkf59", 10   "doi": "10.57702/0tlfkf59",
            9   "doi_date_published": "2024-11-25", 11   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 12   "doi_publisher": "TIB",
            11   "doi_status": true, 13   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 14   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 15   "extra_authors": [
            14     { 16     {
            n 15       "extra_author": "Jiamou Liu", n 17       "extra_author": "Mengzhang Li",
            16       "orcid": "" 18       "orcid": ""
            17     }, 19     },
            18     { 20     {
            n 19       "extra_author": "Kaiqi Zhao", n 21       "extra_author": "Jiyong Zhang",
            22       "orcid": ""
            23     },
            24     {
            25       "extra_author": "Zhanxing Zhu",
            20       "orcid": "" 26       "orcid": ""
            21     } 27     }
            22   ], 28   ],
            23   "groups": [ 29   "groups": [
            n 24     { n 
            25       "description": "", 
            26       "display_name": "Highway Speed", 
            27       "id": "26a37f6d-b594-4bac-97d3-0aea7ec65edd", 
            28       "image_display_url": "", 
            29       "name": "highway-speed", 
            30       "title": "Highway Speed" 
            31     }, 
            32     { 30     {
            33       "description": "", 31       "description": "",
            34       "display_name": "Traffic Flow Forecasting", 32       "display_name": "Traffic Flow Forecasting",
            35       "id": "3e9661b1-3f4d-402b-a80e-a74b3e609830", 33       "id": "3e9661b1-3f4d-402b-a80e-a74b3e609830",
            36       "image_display_url": "", 34       "image_display_url": "",
            37       "name": "traffic-flow-forecasting", 35       "name": "traffic-flow-forecasting",
            38       "title": "Traffic Flow Forecasting" 36       "title": "Traffic Flow Forecasting"
            39     }, 37     },
            40     { 38     {
            41       "description": "", 39       "description": "",
            42       "display_name": "Traffic Forecasting", 40       "display_name": "Traffic Forecasting",
            43       "id": "15ee440c-f28f-47ec-9e48-e69c56ccac2a", 41       "id": "15ee440c-f28f-47ec-9e48-e69c56ccac2a",
            44       "image_display_url": "", 42       "image_display_url": "",
            45       "name": "traffic-forecasting", 43       "name": "traffic-forecasting",
            46       "title": "Traffic Forecasting" 44       "title": "Traffic Forecasting"
            47     } 45     }
            48   ], 46   ],
            49   "id": "dfa97f8f-e181-4a9e-8868-532e779fb464", 47   "id": "dfa97f8f-e181-4a9e-8868-532e779fb464",
            50   "isopen": false, 48   "isopen": false,
            n 51   "landing_page": "https://doi.org/10.1109/TITS.2017.2734444", n 49   "landing_page": "https://www.pems.net/data/",
            52   "license_title": null, 50   "license_title": null,
            53   "link_orkg": "", 51   "link_orkg": "",
            54   "metadata_created": "2024-11-25T14:47:50.260430", 52   "metadata_created": "2024-11-25T14:47:50.260430",
            n 55   "metadata_modified": "2024-12-03T07:51:37.210003", n 53   "metadata_modified": "2024-12-03T07:54:29.957811",
            56   "name": "pems-bay", 54   "name": "pems-bay",
            n 57   "notes": "The PeMS-Bay dataset is a highway speed dataset for  n 55   "notes": "The traf\ufb01c forecasting problem can be categorized 
            58 traffic forecasting collected by California Transportation Agencies  56 into three types, namely, based on the length of prediction, i.e., 
            59 (CalTrans) Performance Measurement System (PeMS).", 57 short-term (less than 30 min) and long term(30 \u223c 60 min).",
            60   "num_resources": 1, 58   "num_resources": 0,
            61   "num_tags": 6, 59   "num_tags": 4,
            62   "organization": { 60   "organization": {
            63     "approval_status": "approved", 61     "approval_status": "approved",
            64     "created": "2024-11-25T12:11:38.292601", 62     "created": "2024-11-25T12:11:38.292601",
            65     "description": "", 63     "description": "",
            66     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 64     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            67     "image_url": "", 65     "image_url": "",
            68     "is_organization": true, 66     "is_organization": true,
            69     "name": "no-organization", 67     "name": "no-organization",
            70     "state": "active", 68     "state": "active",
            71     "title": "No Organization", 69     "title": "No Organization",
            72     "type": "organization" 70     "type": "organization"
            73   }, 71   },
            74   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 72   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            75   "private": false, 73   "private": false,
            76   "relationships_as_object": [], 74   "relationships_as_object": [],
            77   "relationships_as_subject": [], 75   "relationships_as_subject": [],
            n 78   "resources": [ n 76   "resources": [],
            79     { 
            80       "cache_last_updated": null, 
            81       "cache_url": null, 
            82       "created": "2024-12-03T08:34:31", 
            83       "data": [ 
            84         "dcterms:title", 
            85         "dcterms:accessRights", 
            86         "dcterms:creator", 
            87         "dcterms:description", 
            88         "dcterms:issued", 
            89         "dcterms:language", 
            90         "dcterms:identifier", 
            91         "dcat:theme", 
            92         "dcterms:type", 
            93         "dcat:keyword", 
            94         "dcat:landingPage", 
            95         "dcterms:hasVersion", 
            96         "dcterms:format", 
            97         "mls:task", 
            98         "datacite:isDescribedBy" 
            99       ], 
            100       "description": "The json representation of the dataset with its  
            101 distributions based on DCAT.", 
            102       "format": "JSON", 
            103       "hash": "", 
            104       "id": "b6980956-5dfa-4162-b42b-d4b5350cab92", 
            105       "last_modified": "2024-12-03T07:51:37.202111", 
            106       "metadata_modified": "2024-12-03T07:51:37.212874", 
            107       "mimetype": "application/json", 
            108       "mimetype_inner": null, 
            109       "name": "Original Metadata", 
            110       "package_id": "dfa97f8f-e181-4a9e-8868-532e779fb464", 
            111       "position": 0, 
            112       "resource_type": null, 
            113       "size": 913, 
            114       "state": "active", 
            115       "url":  
            116 resource/b6980956-5dfa-4162-b42b-d4b5350cab92/download/metadata.json", 
            117       "url_type": "upload" 
            118     } 
            119   ], 
            120   "services_used_list": "", 77   "services_used_list": "",
            121   "state": "active", 78   "state": "active",
            122   "tags": [ 79   "tags": [
            123     { 80     {
            n 124       "display_name": "Bay Area", n 81       "display_name": "PeMS-BAY",
            125       "id": "f85d3909-6897-47a7-94cf-1a4ed5f6be20", 82       "id": "fbaffd41-192c-4ed3-859f-282080d27d6b",
            126       "name": "Bay Area", 83       "name": "PeMS-BAY",
            127       "state": "active", 84       "state": "active",
            128       "vocabulary_id": null 85       "vocabulary_id": null
            129     }, 86     },
            130     { 87     {
            n 131       "display_name": "PEMS", n 
            132       "id": "188e34b2-93cb-4120-ae4c-9f3af3f382e2", 
            133       "name": "PEMS", 
            134       "state": "active", 
            135       "vocabulary_id": null 
            136     }, 
            137     { 
            138       "display_name": "PeMS dataset", 
            139       "id": "4865c812-b560-4013-ab25-97135ec46f9f", 
            140       "name": "PeMS dataset", 
            141       "state": "active", 
            142       "vocabulary_id": null 
            143     }, 
            144     { 
            145       "display_name": "Traffic flow", 88       "display_name": "traffic flow forecasting",
            146       "id": "00a5b131-69c0-49a1-bf67-ae287201f023", 89       "id": "82445629-4701-4c32-88d1-a3fa79eee946",
            147       "name": "Traffic flow", 90       "name": "traffic flow forecasting",
            148       "state": "active", 
            149       "vocabulary_id": null 
            150     }, 
            151     { 
            152       "display_name": "highway speed", 
            153       "id": "97f27a03-8cfb-454e-a9cf-85ee57aec0f7", 
            154       "name": "highway speed", 
            155       "state": "active", 91       "state": "active",
            156       "vocabulary_id": null 92       "vocabulary_id": null
            157     }, 93     },
            158     { 94     {
            159       "display_name": "traffic forecasting", 95       "display_name": "traffic forecasting",
            160       "id": "8cf9898f-7989-4730-b96f-2c8578609453", 96       "id": "8cf9898f-7989-4730-b96f-2c8578609453",
            161       "name": "traffic forecasting", 97       "name": "traffic forecasting",
            162       "state": "active", 98       "state": "active",
            163       "vocabulary_id": null 99       "vocabulary_id": null
            n n 100     },
            101     {
            102       "display_name": "traffic speed",
            103       "id": "f495b8ae-cfee-4e80-9c9f-d7f9185cd294",
            104       "name": "traffic speed",
            105       "state": "active",
            106       "vocabulary_id": null
            164     } 107     }
            165   ], 108   ],
            t 166   "title": "PeMS-Bay", t 109   "title": "PeMS-BAY",
            167   "type": "dataset", 110   "type": "dataset",
            168   "version": "" 111   "version": ""
            169 } 112 }