Changes
On December 3, 2024 at 9:20:40 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in ETH and UCY datasets -
Changed value of field
doi_date_published
to2024-12-03
in ETH and UCY datasets -
Added resource Original Metadata to ETH and UCY datasets
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Abduallah Mohamed", | 3 | "author": "Abduallah Mohamed", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2403.18452" | 6 | "https://doi.org/10.48550/arXiv.2403.18452" | ||
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9 | "defined_in": "https://doi.org/10.48550/arXiv.2002.11927", | 9 | "defined_in": "https://doi.org/10.48550/arXiv.2002.11927", | ||
10 | "doi": "10.57702/inh9zh0n", | 10 | "doi": "10.57702/inh9zh0n", | ||
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14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Kun Qian", | 17 | "extra_author": "Kun Qian", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Mohamed Elhoseiny", | 21 | "extra_author": "Mohamed Elhoseiny", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Christian Claudel", | 25 | "extra_author": "Christian Claudel", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | } | 27 | } | ||
28 | ], | 28 | ], | ||
29 | "groups": [ | 29 | "groups": [ | ||
30 | { | 30 | { | ||
31 | "description": "", | 31 | "description": "", | ||
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36 | "title": "Human Trajectory Prediction" | 36 | "title": "Human Trajectory Prediction" | ||
37 | }, | 37 | }, | ||
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39 | "description": "", | 39 | "description": "", | ||
40 | "display_name": "Trajectory Prediction", | 40 | "display_name": "Trajectory Prediction", | ||
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43 | "name": "trajectory-prediction", | 43 | "name": "trajectory-prediction", | ||
44 | "title": "Trajectory Prediction" | 44 | "title": "Trajectory Prediction" | ||
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46 | ], | 46 | ], | ||
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48 | "isopen": false, | 48 | "isopen": false, | ||
49 | "landing_page": "https://github.com/abduallahmohamed/Social-STGCNN", | 49 | "landing_page": "https://github.com/abduallahmohamed/Social-STGCNN", | ||
50 | "license_title": null, | 50 | "license_title": null, | ||
51 | "link_orkg": "", | 51 | "link_orkg": "", | ||
52 | "metadata_created": "2024-12-03T09:20:38.729071", | 52 | "metadata_created": "2024-12-03T09:20:38.729071", | ||
n | 53 | "metadata_modified": "2024-12-03T09:20:38.729077", | n | 53 | "metadata_modified": "2024-12-03T09:20:39.091496", |
54 | "name": "eth-and-ucy-datasets", | 54 | "name": "eth-and-ucy-datasets", | ||
55 | "notes": "The ETH and UCY datasets consist of various motions of | 55 | "notes": "The ETH and UCY datasets consist of various motions of | ||
56 | 1,536 pedestrians across five unique scenes: ETH, Hotel, Univ, Zara1 | 56 | 1,536 pedestrians across five unique scenes: ETH, Hotel, Univ, Zara1 | ||
57 | and Zara2. They are recorded in crowded scenes.", | 57 | and Zara2. They are recorded in crowded scenes.", | ||
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59 | "num_tags": 7, | 59 | "num_tags": 7, | ||
60 | "organization": { | 60 | "organization": { | ||
61 | "approval_status": "approved", | 61 | "approval_status": "approved", | ||
62 | "created": "2024-11-25T12:11:38.292601", | 62 | "created": "2024-11-25T12:11:38.292601", | ||
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67 | "name": "no-organization", | 67 | "name": "no-organization", | ||
68 | "state": "active", | 68 | "state": "active", | ||
69 | "title": "No Organization", | 69 | "title": "No Organization", | ||
70 | "type": "organization" | 70 | "type": "organization" | ||
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72 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 72 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
73 | "private": false, | 73 | "private": false, | ||
74 | "relationships_as_object": [], | 74 | "relationships_as_object": [], | ||
75 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
t | 76 | "resources": [], | t | 76 | "resources": [ |
77 | { | ||||
78 | "cache_last_updated": null, | ||||
79 | "cache_url": null, | ||||
80 | "created": "2024-12-03T10:17:29", | ||||
81 | "data": [ | ||||
82 | "dcterms:title", | ||||
83 | "dcterms:accessRights", | ||||
84 | "dcterms:creator", | ||||
85 | "dcterms:description", | ||||
86 | "dcterms:issued", | ||||
87 | "dcterms:language", | ||||
88 | "dcterms:identifier", | ||||
89 | "dcat:theme", | ||||
90 | "dcterms:type", | ||||
91 | "dcat:keyword", | ||||
92 | "dcat:landingPage", | ||||
93 | "dcterms:hasVersion", | ||||
94 | "dcterms:format", | ||||
95 | "mls:task", | ||||
96 | "datacite:isDescribedBy" | ||||
97 | ], | ||||
98 | "description": "The json representation of the dataset with its | ||||
99 | distributions based on DCAT.", | ||||
100 | "format": "JSON", | ||||
101 | "hash": "", | ||||
102 | "id": "3663084b-b186-4fea-ab15-af00f05e6096", | ||||
103 | "last_modified": "2024-12-03T09:20:39.083080", | ||||
104 | "metadata_modified": "2024-12-03T09:20:39.094468", | ||||
105 | "mimetype": "application/json", | ||||
106 | "mimetype_inner": null, | ||||
107 | "name": "Original Metadata", | ||||
108 | "package_id": "9972b85a-8cc1-4ff8-80c1-a2276814cd34", | ||||
109 | "position": 0, | ||||
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112 | "state": "active", | ||||
113 | "url": | ||||
114 | resource/3663084b-b186-4fea-ab15-af00f05e6096/download/metadata.json", | ||||
115 | "url_type": "upload" | ||||
116 | } | ||||
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77 | "services_used_list": "", | 118 | "services_used_list": "", | ||
78 | "state": "active", | 119 | "state": "active", | ||
79 | "tags": [ | 120 | "tags": [ | ||
80 | { | 121 | { | ||
81 | "display_name": "Crowded Scenes", | 122 | "display_name": "Crowded Scenes", | ||
82 | "id": "779a667f-f818-4e87-8c37-592451083daa", | 123 | "id": "779a667f-f818-4e87-8c37-592451083daa", | ||
83 | "name": "Crowded Scenes", | 124 | "name": "Crowded Scenes", | ||
84 | "state": "active", | 125 | "state": "active", | ||
85 | "vocabulary_id": null | 126 | "vocabulary_id": null | ||
86 | }, | 127 | }, | ||
87 | { | 128 | { | ||
88 | "display_name": "ETH dataset", | 129 | "display_name": "ETH dataset", | ||
89 | "id": "d7b3cb16-b980-4c5a-8d7d-54ca820bda9a", | 130 | "id": "d7b3cb16-b980-4c5a-8d7d-54ca820bda9a", | ||
90 | "name": "ETH dataset", | 131 | "name": "ETH dataset", | ||
91 | "state": "active", | 132 | "state": "active", | ||
92 | "vocabulary_id": null | 133 | "vocabulary_id": null | ||
93 | }, | 134 | }, | ||
94 | { | 135 | { | ||
95 | "display_name": "Human Motion", | 136 | "display_name": "Human Motion", | ||
96 | "id": "f0cdd72d-f489-4449-af1c-2efe15dd9794", | 137 | "id": "f0cdd72d-f489-4449-af1c-2efe15dd9794", | ||
97 | "name": "Human Motion", | 138 | "name": "Human Motion", | ||
98 | "state": "active", | 139 | "state": "active", | ||
99 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
100 | }, | 141 | }, | ||
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106 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
107 | }, | 148 | }, | ||
108 | { | 149 | { | ||
109 | "display_name": "UCY dataset", | 150 | "display_name": "UCY dataset", | ||
110 | "id": "fbcdf455-df37-40ca-9dfd-ffbd35c3bf75", | 151 | "id": "fbcdf455-df37-40ca-9dfd-ffbd35c3bf75", | ||
111 | "name": "UCY dataset", | 152 | "name": "UCY dataset", | ||
112 | "state": "active", | 153 | "state": "active", | ||
113 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
114 | }, | 155 | }, | ||
115 | { | 156 | { | ||
116 | "display_name": "human trajectories", | 157 | "display_name": "human trajectories", | ||
117 | "id": "06628f07-3453-4643-9a9e-dce821697871", | 158 | "id": "06628f07-3453-4643-9a9e-dce821697871", | ||
118 | "name": "human trajectories", | 159 | "name": "human trajectories", | ||
119 | "state": "active", | 160 | "state": "active", | ||
120 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
121 | }, | 162 | }, | ||
122 | { | 163 | { | ||
123 | "display_name": "pedestrian trajectory prediction", | 164 | "display_name": "pedestrian trajectory prediction", | ||
124 | "id": "86c598f1-5779-40cf-9974-300136e467d6", | 165 | "id": "86c598f1-5779-40cf-9974-300136e467d6", | ||
125 | "name": "pedestrian trajectory prediction", | 166 | "name": "pedestrian trajectory prediction", | ||
126 | "state": "active", | 167 | "state": "active", | ||
127 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
128 | } | 169 | } | ||
129 | ], | 170 | ], | ||
130 | "title": "ETH and UCY datasets", | 171 | "title": "ETH and UCY datasets", | ||
131 | "type": "dataset", | 172 | "type": "dataset", | ||
132 | "version": "" | 173 | "version": "" | ||
133 | } | 174 | } |