Changes

On December 2, 2024 at 10:52:43 PM UTC, admin:
Changed title to CoNSeP (previously CoNSep)
Set author of CoNSeP to Simon Graham (previously Shlok Mohta)
Updated description of CoNSeP from
The dataset used for histopathology image segmentation and classification.
to
CoNSeP dataset consists of 41 H&E stained image tiles, each of size 1000x1000 pixels at 40x objective magnification, with annotations of seven types of nuclei: malignant, normal, endothelial, miscellaneous, Fibroblast, Muscle, and inflammatory.
Removed tag histopathology images from CoNSeP
Added the following tags to CoNSeP
- consep
- histopathology
Changed value of field defined_in to in CoNSeP
Changed value of field extra_authors to [{'extra_author': 'Quoc Dang Vu', 'orcid': ''}, {'extra_author': 'Shan E Ahmed Raza', 'orcid': ''}, {'extra_author': 'Ayesha Azam', 'orcid': ''}] in CoNSeP
Changed value of field landing_page to https://github.com/DIAGNijmegen/HoVer-UNet in CoNSeP
Deleted resource Original Metadata from CoNSeP
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Shlok Mohta", n 3   "author": "Simon Graham",
            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.2208.13975", n 7   "defined_in": "",
            8   "doi": "10.57702/mft063xl", 8   "doi": "10.57702/mft063xl",
            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",
            13   "extra_authors": [ 13   "extra_authors": [
            14     { 14     {
            n 15       "extra_author": "Hisahiro Suganuma", n 15       "extra_author": "Quoc Dang Vu",
            16       "orcid": "" 16       "orcid": ""
            17     }, 17     },
            18     { 18     {
            n n 19       "extra_author": "Shan E Ahmed Raza",
            20       "orcid": ""
            21     },
            22     {
            19       "extra_author": "Yoshiki Tanaka", 23       "extra_author": "Ayesha Azam",
            20       "orcid": "" 24       "orcid": ""
            21     } 25     }
            22   ], 26   ],
            23   "groups": [ 27   "groups": [
            24     { 28     {
            25       "description": "", 29       "description": "",
            26       "display_name": "Histopathology", 30       "display_name": "Histopathology",
            27       "id": "82509a4f-474e-4d24-8f98-8a65caaa3b08", 31       "id": "82509a4f-474e-4d24-8f98-8a65caaa3b08",
            28       "image_display_url": "", 32       "image_display_url": "",
            29       "name": "histopathology", 33       "name": "histopathology",
            30       "title": "Histopathology" 34       "title": "Histopathology"
            31     }, 35     },
            32     { 36     {
            33       "description": "", 37       "description": "",
            n 34       "display_name": "Image Segmentation", n 38       "display_name": "Nuclei Segmentation",
            35       "id": "7c8cc5f1-a9b2-4924-82ec-9e3aa3049a04", 39       "id": "4ab863ec-edac-4651-96d7-62b55224f7f7",
            36       "image_display_url": "", 40       "image_display_url": "",
            n 37       "name": "image-segmentation", n 41       "name": "nuclei-segmentation",
            38       "title": "Image Segmentation" 42       "title": "Nuclei Segmentation"
            39     } 43     }
            40   ], 44   ],
            41   "id": "51ef1428-04f5-473c-98dd-4ddda12979f6", 45   "id": "51ef1428-04f5-473c-98dd-4ddda12979f6",
            42   "isopen": false, 46   "isopen": false,
            n 43   "landing_page": "", n 47   "landing_page": "https://github.com/DIAGNijmegen/HoVer-UNet",
            44   "license_title": null, 48   "license_title": null,
            45   "link_orkg": "", 49   "link_orkg": "",
            46   "metadata_created": "2024-12-02T18:09:07.767315", 50   "metadata_created": "2024-12-02T18:09:07.767315",
            n 47   "metadata_modified": "2024-12-02T18:09:08.104030", n 51   "metadata_modified": "2024-12-02T22:52:43.172959",
            48   "name": "consep", 52   "name": "consep",
            n 49   "notes": "The dataset used for histopathology image segmentation and  n 53   "notes": "CoNSeP dataset consists of 41 H&E stained image tiles, 
            50 classification.", 54 each of size 1000x1000 pixels at 40x objective magnification, with 
            55 annotations of seven types of nuclei: malignant, normal, endothelial, 
            56 miscellaneous, Fibroblast, Muscle, and inflammatory.",
            51   "num_resources": 1, 57   "num_resources": 0,
            52   "num_tags": 2, 58   "num_tags": 3,
            53   "organization": { 59   "organization": {
            54     "approval_status": "approved", 60     "approval_status": "approved",
            55     "created": "2024-11-25T12:11:38.292601", 61     "created": "2024-11-25T12:11:38.292601",
            56     "description": "", 62     "description": "",
            57     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 63     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            58     "image_url": "", 64     "image_url": "",
            59     "is_organization": true, 65     "is_organization": true,
            60     "name": "no-organization", 66     "name": "no-organization",
            61     "state": "active", 67     "state": "active",
            62     "title": "No Organization", 68     "title": "No Organization",
            63     "type": "organization" 69     "type": "organization"
            64   }, 70   },
            65   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 71   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            66   "private": false, 72   "private": false,
            67   "relationships_as_object": [], 73   "relationships_as_object": [],
            68   "relationships_as_subject": [], 74   "relationships_as_subject": [],
            n 69   "resources": [ n 75   "resources": [],
            70     { 
            71       "cache_last_updated": null, 
            72       "cache_url": null, 
            73       "created": "2024-12-02T18:38:42", 
            74       "data": [ 
            75         "dcterms:title", 
            76         "dcterms:accessRights", 
            77         "dcterms:creator", 
            78         "dcterms:description", 
            79         "dcterms:issued", 
            80         "dcterms:language", 
            81         "dcterms:identifier", 
            82         "dcat:theme", 
            83         "dcterms:type", 
            84         "dcat:keyword", 
            85         "dcat:landingPage", 
            86         "dcterms:hasVersion", 
            87         "dcterms:format", 
            88         "mls:task", 
            89         "datacite:isDescribedBy" 
            90       ], 
            91       "description": "The json representation of the dataset with its  
            92 distributions based on DCAT.", 
            93       "format": "JSON", 
            94       "hash": "", 
            95       "id": "a0b01755-140e-4bd9-96b2-93fb7ee9d4fa", 
            96       "last_modified": "2024-12-02T18:09:08.096619", 
            97       "metadata_modified": "2024-12-02T18:09:08.106994", 
            98       "mimetype": "application/json", 
            99       "mimetype_inner": null, 
            100       "name": "Original Metadata", 
            101       "package_id": "51ef1428-04f5-473c-98dd-4ddda12979f6", 
            102       "position": 0, 
            103       "resource_type": null, 
            104       "size": 635, 
            105       "state": "active", 
            106       "url":  
            107 resource/a0b01755-140e-4bd9-96b2-93fb7ee9d4fa/download/metadata.json", 
            108       "url_type": "upload" 
            109     } 
            110   ], 
            111   "services_used_list": "", 76   "services_used_list": "",
            112   "state": "active", 77   "state": "active",
            113   "tags": [ 78   "tags": [
            114     { 79     {
            n n 80       "display_name": "consep",
            81       "id": "58f2af53-961d-4eda-8ab5-8dde725ed1e0",
            82       "name": "consep",
            83       "state": "active",
            84       "vocabulary_id": null
            85     },
            86     {
            115       "display_name": "histopathology images", 87       "display_name": "histopathology",
            116       "id": "05cb7066-3f02-4871-bf0c-793c7f46a807", 88       "id": "c5bd7bb7-4841-4397-ad31-22482121ef56",
            117       "name": "histopathology images", 89       "name": "histopathology",
            118       "state": "active", 90       "state": "active",
            119       "vocabulary_id": null 91       "vocabulary_id": null
            120     }, 92     },
            121     { 93     {
            122       "display_name": "nuclei segmentation", 94       "display_name": "nuclei segmentation",
            123       "id": "a6e27715-c854-451c-9212-0f1286a11c9b", 95       "id": "a6e27715-c854-451c-9212-0f1286a11c9b",
            124       "name": "nuclei segmentation", 96       "name": "nuclei segmentation",
            125       "state": "active", 97       "state": "active",
            126       "vocabulary_id": null 98       "vocabulary_id": null
            127     } 99     }
            128   ], 100   ],
            t 129   "title": "CoNSep", t 101   "title": "CoNSeP",
            130   "type": "dataset", 102   "type": "dataset",
            131   "version": "" 103   "version": ""
            132 } 104 }