Changes

On December 3, 2024 at 10:28:00 AM UTC, admin:
Changed title to Shapenet dataset (previously ShapeNet dataset)
Set author of Shapenet dataset to Stephan Antholzer (previously Junsheng Zhou)
Updated description of Shapenet dataset from
The ShapeNet dataset is a large-scale dataset of 3D models, each represented as a voxel grid. The dataset is used for 3D object reconstruction and classification tasks.
to
A dataset of volumetric point clouds for training an autoencoder for point clouds, consisting of four types of point clouds: encapsulated spheres, encapsulated cuboids, orthogonally intersecting planes, and lattices with various geometric shapes.
Removed the following tags from Shapenet dataset
Added the following tags to Shapenet dataset
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2106.02634 in Shapenet dataset
Changed value of field extra_authors to [{'extra_author': 'Martin Berger', 'orcid': ''}, {'extra_author': 'Tobias Hell', 'orcid': ''}] in Shapenet dataset
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2211.01009'] in Shapenet dataset
Changed value of field landing_page to https://shapenet.org/ in Shapenet dataset
Deleted resource Original Metadata from Shapenet dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Junsheng Zhou", n 3   "author": "Stephan Antholzer",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n 6     "https://doi.org/10.48550/arXiv.2011.13045", n 
            7     "https://doi.org/10.48550/arXiv.2206.08789", 
            8     "https://doi.org/10.48550/arXiv.2308.11441", 
            9     "https://doi.org/10.48550/arXiv.2211.06820", 6     "https://doi.org/10.48550/arXiv.2211.01009"
            10     "https://doi.org/10.48550/arXiv.2407.02668", 
            11     "https://doi.org/10.48550/arXiv.2311.15561", 
            12     "https://doi.org/10.48550/arXiv.2305.18557", 
            13     "https://doi.org/10.48550/arXiv.1803.07289", 
            14     "https://doi.org/10.48550/arXiv.2302.05573", 
            15     "https://doi.org/10.48550/arXiv.1812.01712" 
            16   ], 7   ],
            17   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 18   "defined_in": "https://doi.org/10.48550/arXiv.1704.00710", n 9   "defined_in": "https://doi.org/10.48550/arXiv.2106.02634",
            19   "doi": "10.57702/3z1u7yfh", 10   "doi": "10.57702/3z1u7yfh",
            20   "doi_date_published": "2024-11-25", 11   "doi_date_published": "2024-11-25",
            21   "doi_publisher": "TIB", 12   "doi_publisher": "TIB",
            22   "doi_status": true, 13   "doi_status": true,
            23   "domain": "https://service.tib.eu/ldmservice", 14   "domain": "https://service.tib.eu/ldmservice",
            24   "extra_authors": [ 15   "extra_authors": [
            25     { 16     {
            n 26       "extra_author": "Baorui Ma", n 17       "extra_author": "Martin Berger",
            27       "orcid": "" 18       "orcid": ""
            28     }, 19     },
            29     { 20     {
            n 30       "extra_author": "Yu-Shen Liu", n 
            31       "orcid": "" 
            32     }, 
            33     { 
            34       "extra_author": "Zhizhong Han", 21       "extra_author": "Tobias Hell",
            35       "orcid": "" 22       "orcid": ""
            36     } 23     }
            37   ], 24   ],
            38   "groups": [ 25   "groups": [
            39     { 26     {
            40       "description": "", 27       "description": "",
            n 41       "display_name": "3D Object Recognition", n 28       "display_name": "3D Scene Understanding",
            42       "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", 29       "id": "bbef9259-bb19-4e31-8610-6745016a53bc",
            43       "image_display_url": "", 30       "image_display_url": "",
            n 44       "name": "3d-object-recognition", n 31       "name": "3d-scene-understanding",
            45       "title": "3D Object Recognition" 32       "title": "3D Scene Understanding"
            46     }, 33     },
            47     { 34     {
            48       "description": "", 35       "description": "",
            n 49       "display_name": "3D Object Reconstruction", n 36       "display_name": "3D modeling",
            50       "id": "1501f86f-3b7f-42bd-a0f3-f53ac1414787", 37       "id": "ea68db51-1d75-4260-aa8f-4f6b19338970",
            51       "image_display_url": "", 38       "image_display_url": "",
            n 52       "name": "3d-object-reconstruction", n 39       "name": "3d-modeling",
            53       "title": "3D Object Reconstruction" 40       "title": "3D modeling"
            54     }, 41     },
            55     { 42     {
            56       "description": "", 43       "description": "",
            n 57       "display_name": "3D Recognition", n 44       "display_name": "Point Clouds",
            58       "id": "3971fd49-8513-4881-8dab-40fb6c57053f", 45       "id": "71e868cb-bd30-4079-999e-4461dde9f071",
            59       "image_display_url": "", 46       "image_display_url": "",
            n 60       "name": "3d-recognition", n 47       "name": "point-clouds",
            61       "title": "3D Recognition" 48       "title": "Point Clouds"
            62     }, 
            63     { 
            64       "description": "", 
            65       "display_name": "3D Reconstruction", 
            66       "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", 
            67       "image_display_url": "", 
            68       "name": "3d-reconstruction", 
            69       "title": "3D Reconstruction" 
            70     }, 
            71     { 
            72       "description": "", 
            73       "display_name": "3D Shape Analysis", 
            74       "id": "a09b211f-59de-4cd4-b517-823213819a63", 
            75       "image_display_url": "", 
            76       "name": "3d-shape-analysis", 
            77       "title": "3D Shape Analysis" 
            78     }, 
            79     { 
            80       "description": "", 
            81       "display_name": "3D Shape Reconstruction", 
            82       "id": "4b0cf4cd-18ca-4527-bf71-7452103afd83", 
            83       "image_display_url": "", 
            84       "name": "3d-shape-reconstruction", 
            85       "title": "3D Shape Reconstruction" 
            86     }, 
            87     { 
            88       "description": "", 
            89       "display_name": "3D Shapes", 
            90       "id": "60b28ea5-ab84-41b9-8fcc-b0db78a51ec1", 
            91       "image_display_url": "", 
            92       "name": "3d-shapes", 
            93       "title": "3D Shapes" 
            94     }, 
            95     { 
            96       "description": "", 
            97       "display_name": "3D models", 
            98       "id": "6de8d8be-69b8-4701-9b03-5d3f83d02902", 
            99       "image_display_url": "", 
            100       "name": "3d-models", 
            101       "title": "3D models" 
            102     }, 
            103     { 
            104       "description": "", 
            105       "display_name": "Computer Vision", 
            106       "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", 
            107       "image_display_url": "", 
            108       "name": "computer-vision", 
            109       "title": "Computer Vision" 
            110     }, 
            111     { 
            112       "description": "", 
            113       "display_name": "Object Classification", 
            114       "id": "06361be7-5f3f-4e76-a104-f4f908fa6d91", 
            115       "image_display_url": "", 
            116       "name": "object-classification", 
            117       "title": "Object Classification" 
            118     }, 
            119     { 
            120       "description": "", 
            121       "display_name": "Object Recognition", 
            122       "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", 
            123       "image_display_url": "", 
            124       "name": "object-recognition", 
            125       "title": "Object Recognition" 
            126     }, 
            127     { 
            128       "description": "", 
            129       "display_name": "Point Cloud Semantic Segmentation", 
            130       "id": "9c09347f-2657-4439-be69-3e24abb72676", 
            131       "image_display_url": "", 
            132       "name": "point-cloud-semantic-segmentation", 
            133       "title": "Point Cloud Semantic Segmentation" 
            134     }, 
            135     { 
            136       "description": "", 
            137       "display_name": "ShapeNet", 
            138       "id": "90884a81-e433-45ae-b467-d51eac7c9835", 
            139       "image_display_url": "", 
            140       "name": "shapenet", 
            141       "title": "ShapeNet" 
            142     } 49     }
            143   ], 50   ],
            144   "id": "69c38812-b89c-4034-afd2-56258b114667", 51   "id": "69c38812-b89c-4034-afd2-56258b114667",
            145   "isopen": false, 52   "isopen": false,
            n 146   "landing_page": "https://shapenet.cs.stanford.edu/", n 53   "landing_page": "https://shapenet.org/",
            147   "license_title": null, 54   "license_title": null,
            148   "link_orkg": "", 55   "link_orkg": "",
            149   "metadata_created": "2024-11-25T14:46:11.352745", 56   "metadata_created": "2024-11-25T14:46:11.352745",
            n 150   "metadata_modified": "2024-12-02T17:46:10.903933", n 57   "metadata_modified": "2024-12-03T10:27:59.800294",
            151   "name": "shapenet-dataset", 58   "name": "shapenet-dataset",
            n 152   "notes": "The ShapeNet dataset is a large-scale dataset of 3D  n 59   "notes": "A dataset of volumetric point clouds for training an 
            153 models, each represented as a voxel grid. The dataset is used for 3D  60 autoencoder for point clouds, consisting of four types of point 
            154 object reconstruction and classification tasks.", 61 clouds: encapsulated spheres, encapsulated cuboids, orthogonally 
            62 intersecting planes, and lattices with various geometric shapes.",
            155   "num_resources": 1, 63   "num_resources": 0,
            156   "num_tags": 18, 64   "num_tags": 6,
            157   "organization": { 65   "organization": {
            158     "approval_status": "approved", 66     "approval_status": "approved",
            159     "created": "2024-11-25T12:11:38.292601", 67     "created": "2024-11-25T12:11:38.292601",
            160     "description": "", 68     "description": "",
            161     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 69     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            162     "image_url": "", 70     "image_url": "",
            163     "is_organization": true, 71     "is_organization": true,
            164     "name": "no-organization", 72     "name": "no-organization",
            165     "state": "active", 73     "state": "active",
            166     "title": "No Organization", 74     "title": "No Organization",
            167     "type": "organization" 75     "type": "organization"
            168   }, 76   },
            169   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 77   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            170   "private": false, 78   "private": false,
            171   "relationships_as_object": [], 79   "relationships_as_object": [],
            172   "relationships_as_subject": [], 80   "relationships_as_subject": [],
            n 173   "resources": [ n 81   "resources": [],
            174     { 
            175       "cache_last_updated": null, 
            176       "cache_url": null, 
            177       "created": "2024-12-02T18:38:42", 
            178       "data": [ 
            179         "dcterms:title", 
            180         "dcterms:accessRights", 
            181         "dcterms:creator", 
            182         "dcterms:description", 
            183         "dcterms:issued", 
            184         "dcterms:language", 
            185         "dcterms:identifier", 
            186         "dcat:theme", 
            187         "dcterms:type", 
            188         "dcat:keyword", 
            189         "dcat:landingPage", 
            190         "dcterms:hasVersion", 
            191         "dcterms:format", 
            192         "mls:task", 
            193         "datacite:isDescribedBy" 
            194       ], 
            195       "description": "The json representation of the dataset with its  
            196 distributions based on DCAT.", 
            197       "format": "JSON", 
            198       "hash": "", 
            199       "id": "b43f2809-179f-4419-a1f1-6f6ba630c198", 
            200       "last_modified": "2024-12-02T17:46:10.893652", 
            201       "metadata_modified": "2024-12-02T17:46:10.906784", 
            202       "mimetype": "application/json", 
            203       "mimetype_inner": null, 
            204       "name": "Original Metadata", 
            205       "package_id": "69c38812-b89c-4034-afd2-56258b114667", 
            206       "position": 0, 
            207       "resource_type": null, 
            208       "size": 1945, 
            209       "state": "active", 
            210       "url":  
            211 resource/b43f2809-179f-4419-a1f1-6f6ba630c198/download/metadata.json", 
            212       "url_type": "upload" 
            213     } 
            214   ], 
            215   "services_used_list": "", 82   "services_used_list": "",
            216   "state": "active", 83   "state": "active",
            217   "tags": [ 84   "tags": [
            218     { 85     {
            n 219       "display_name": "3D Models", n 86       "display_name": "3D modeling",
            220       "id": "c8bc62a3-c36d-4af0-8ab9-77b2dca2dfe5", 87       "id": "cdad6d74-dd26-474e-afa2-322f5d812992",
            221       "name": "3D Models", 88       "name": "3D modeling",
            222       "state": "active", 89       "state": "active",
            223       "vocabulary_id": null 90       "vocabulary_id": null
            224     }, 91     },
            225     { 92     {
            n 226       "display_name": "3D Point Clouds", n 93       "display_name": "3D scenes",
            227       "id": "55c31270-45cd-40ec-8846-a614fb63a2a8", 94       "id": "e9922bf7-f70b-433a-a528-8a3853f3548d",
            228       "name": "3D Point Clouds", 95       "name": "3D scenes",
            229       "state": "active", 96       "state": "active",
            230       "vocabulary_id": null 97       "vocabulary_id": null
            231     }, 98     },
            232     { 99     {
            n 233       "display_name": "3D models", n 100       "display_name": "point clouds",
            234       "id": "75cde2b8-d53c-464b-9568-ef8c4b8a458a", 101       "id": "c904c4ed-90b6-4e26-99e0-5201bce31b75",
            235       "name": "3D models", 102       "name": "point clouds",
            236       "state": "active", 103       "state": "active",
            237       "vocabulary_id": null 104       "vocabulary_id": null
            238     }, 105     },
            239     { 106     {
            n 240       "display_name": "3D object recognition", n 107       "display_name": "room-scale environments",
            241       "id": "0aa48b0c-9c1b-4a02-b164-e5c1c70077f1", 108       "id": "be2ed9aa-d086-4f3e-b5bd-fdb18b09f83a",
            242       "name": "3D object recognition", 109       "name": "room-scale environments",
            243       "state": "active", 110       "state": "active",
            244       "vocabulary_id": null 111       "vocabulary_id": null
            245     }, 112     },
            246     { 113     {
            n 247       "display_name": "3D shapes", n 114       "display_name": "single-object",
            248       "id": "ab4c9e06-ea33-454a-88f2-797ad74f9e6d", 115       "id": "73e150a3-256c-4580-8566-6625bb9d3434",
            249       "name": "3D shapes", 116       "name": "single-object",
            250       "state": "active", 117       "state": "active",
            251       "vocabulary_id": null 118       "vocabulary_id": null
            252     }, 119     },
            253     { 120     {
            n 254       "display_name": "Object Recognition", n 
            255       "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", 
            256       "name": "Object Recognition", 
            257       "state": "active", 
            258       "vocabulary_id": null 
            259     }, 
            260     { 
            261       "display_name": "Object classification", 
            262       "id": "8afe11bf-2581-4ca3-a7c0-8e0d196b5201", 
            263       "name": "Object classification", 
            264       "state": "active", 
            265       "vocabulary_id": null 
            266     }, 
            267     { 
            268       "display_name": "Point Cloud Semantic Segmentation", 
            269       "id": "acb15232-23a8-49e8-a3cb-1d1756023c33", 
            270       "name": "Point Cloud Semantic Segmentation", 
            271       "state": "active", 
            272       "vocabulary_id": null 
            273     }, 
            274     { 
            275       "display_name": "R2N2", 
            276       "id": "4098dd62-5008-4b9b-83e7-40b605ab76be", 
            277       "name": "R2N2", 
            278       "state": "active", 
            279       "vocabulary_id": null 
            280     }, 
            281     { 
            282       "display_name": "Shape recognition", 
            283       "id": "f108b812-fe69-4eab-bc9f-16593b2816b6", 
            284       "name": "Shape recognition", 
            285       "state": "active", 
            286       "vocabulary_id": null 
            287     }, 
            288     { 
            289       "display_name": "ShapeNet", 
            290       "id": "75385003-130a-429e-bbb3-30752d26783c", 
            291       "name": "ShapeNet", 
            292       "state": "active", 
            293       "vocabulary_id": null 
            294     }, 
            295     { 
            296       "display_name": "computer vision", 
            297       "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", 
            298       "name": "computer vision", 
            299       "state": "active", 
            300       "vocabulary_id": null 
            301     }, 
            302     { 
            303       "display_name": "object categories", 
            304       "id": "086a027b-0e51-4601-9d3a-f909c69a86f4", 
            305       "name": "object categories", 
            306       "state": "active", 
            307       "vocabulary_id": null 
            308     }, 
            309     { 
            310       "display_name": "object recognition", 
            311       "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", 
            312       "name": "object recognition", 
            313       "state": "active", 
            314       "vocabulary_id": null 
            315     }, 
            316     { 
            317       "display_name": "object reconstruction", 
            318       "id": "36b74b74-3fdb-4e59-ac82-728adf5cf7b2", 
            319       "name": "object reconstruction", 
            320       "state": "active", 
            321       "vocabulary_id": null 
            322     }, 
            323     { 
            324       "display_name": "shape recognition", 
            325       "id": "7a5d3e66-4990-4fba-9d63-bfeda9defa76", 
            326       "name": "shape recognition", 
            327       "state": "active", 
            328       "vocabulary_id": null 
            329     }, 
            330     { 
            331       "display_name": "shape reconstruction", 
            332       "id": "b6c8ec0c-d85d-45a8-9d50-b5e08818ce87", 
            333       "name": "shape reconstruction", 
            334       "state": "active", 
            335       "vocabulary_id": null 
            336     }, 
            337     { 
            338       "display_name": "voxel grid", 121       "display_name": "volumetric data",
            339       "id": "03f5e0f6-6e6f-4581-bc4b-948ad4b25ed0", 122       "id": "2cbffd7d-44f3-45ed-8aa0-307c986ab1c4",
            340       "name": "voxel grid", 123       "name": "volumetric data",
            341       "state": "active", 124       "state": "active",
            342       "vocabulary_id": null 125       "vocabulary_id": null
            343     } 126     }
            344   ], 127   ],
            t 345   "title": "ShapeNet dataset", t 128   "title": "Shapenet dataset",
            346   "type": "dataset", 129   "type": "dataset",
            347   "version": "" 130   "version": ""
            348 } 131 }