Changes
On December 16, 2024 at 5:59:15 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Trajectory Dataset -
Changed value of field
doi_date_published
to2024-12-16
in Trajectory Dataset -
Added resource Original Metadata to Trajectory Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Ganesh Sapkota", | 3 | "author": "Ganesh Sapkota", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2407.18022", | 6 | "https://doi.org/10.48550/arXiv.2407.18022", | ||
7 | "https://doi.org/10.48550/arXiv.2402.14280" | 7 | "https://doi.org/10.48550/arXiv.2402.14280" | ||
8 | ], | 8 | ], | ||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
10 | "defined_in": "https://doi.org/10.48550/arXiv.1306.6294", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.1306.6294", | ||
11 | "doi": "10.57702/ez0yxu3n", | 11 | "doi": "10.57702/ez0yxu3n", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-16", |
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Sanjay Madria", | 18 | "extra_author": "Sanjay Madria", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | } | 20 | } | ||
21 | ], | 21 | ], | ||
22 | "groups": [ | 22 | "groups": [ | ||
23 | { | 23 | { | ||
24 | "description": "", | 24 | "description": "", | ||
25 | "display_name": "Robotics", | 25 | "display_name": "Robotics", | ||
26 | "id": "31298f52-0c2b-478b-8b92-4817262302cb", | 26 | "id": "31298f52-0c2b-478b-8b92-4817262302cb", | ||
27 | "image_display_url": "", | 27 | "image_display_url": "", | ||
28 | "name": "robotics", | 28 | "name": "robotics", | ||
29 | "title": "Robotics" | 29 | "title": "Robotics" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "description": "", | 32 | "description": "", | ||
33 | "display_name": "Theory of Mind", | 33 | "display_name": "Theory of Mind", | ||
34 | "id": "7fda0679-f848-4820-bd48-d72770015516", | 34 | "id": "7fda0679-f848-4820-bd48-d72770015516", | ||
35 | "image_display_url": "", | 35 | "image_display_url": "", | ||
36 | "name": "theory-of-mind", | 36 | "name": "theory-of-mind", | ||
37 | "title": "Theory of Mind" | 37 | "title": "Theory of Mind" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "Trajectory planning", | 41 | "display_name": "Trajectory planning", | ||
42 | "id": "5849f335-17e0-46ae-b392-1f5311299cb4", | 42 | "id": "5849f335-17e0-46ae-b392-1f5311299cb4", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "trajectory-planning", | 44 | "name": "trajectory-planning", | ||
45 | "title": "Trajectory planning" | 45 | "title": "Trajectory planning" | ||
46 | } | 46 | } | ||
47 | ], | 47 | ], | ||
48 | "id": "827517a3-09a3-4720-b018-ebf6b86298dd", | 48 | "id": "827517a3-09a3-4720-b018-ebf6b86298dd", | ||
49 | "isopen": false, | 49 | "isopen": false, | ||
50 | "landing_page": "https://pr.cs.cornell.edu/coactive", | 50 | "landing_page": "https://pr.cs.cornell.edu/coactive", | ||
51 | "license_title": null, | 51 | "license_title": null, | ||
52 | "link_orkg": "", | 52 | "link_orkg": "", | ||
53 | "metadata_created": "2024-12-16T17:59:13.495379", | 53 | "metadata_created": "2024-12-16T17:59:13.495379", | ||
n | 54 | "metadata_modified": "2024-12-16T17:59:13.495388", | n | 54 | "metadata_modified": "2024-12-16T17:59:13.935010", |
55 | "name": "trajectory-dataset", | 55 | "name": "trajectory-dataset", | ||
56 | "notes": "The dataset used in this paper is a collection of 30 | 56 | "notes": "The dataset used in this paper is a collection of 30 | ||
57 | trajectories generated per gridworld map by randomly selecting for | 57 | trajectories generated per gridworld map by randomly selecting for | ||
58 | each trajectory the initial locations of both the actor and target.", | 58 | each trajectory the initial locations of both the actor and target.", | ||
n | 59 | "num_resources": 0, | n | 59 | "num_resources": 1, |
60 | "num_tags": 11, | 60 | "num_tags": 11, | ||
61 | "organization": { | 61 | "organization": { | ||
62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
63 | "created": "2024-11-25T12:11:38.292601", | 63 | "created": "2024-11-25T12:11:38.292601", | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 65 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
66 | "image_url": "", | 66 | "image_url": "", | ||
67 | "is_organization": true, | 67 | "is_organization": true, | ||
68 | "name": "no-organization", | 68 | "name": "no-organization", | ||
69 | "state": "active", | 69 | "state": "active", | ||
70 | "title": "No Organization", | 70 | "title": "No Organization", | ||
71 | "type": "organization" | 71 | "type": "organization" | ||
72 | }, | 72 | }, | ||
73 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 73 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
74 | "private": false, | 74 | "private": false, | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
t | 77 | "resources": [], | t | 77 | "resources": [ |
78 | { | ||||
79 | "cache_last_updated": null, | ||||
80 | "cache_url": null, | ||||
81 | "created": "2024-12-16T18:25:31", | ||||
82 | "data": [ | ||||
83 | "dcterms:title", | ||||
84 | "dcterms:accessRights", | ||||
85 | "dcterms:creator", | ||||
86 | "dcterms:description", | ||||
87 | "dcterms:issued", | ||||
88 | "dcterms:language", | ||||
89 | "dcterms:identifier", | ||||
90 | "dcat:theme", | ||||
91 | "dcterms:type", | ||||
92 | "dcat:keyword", | ||||
93 | "dcat:landingPage", | ||||
94 | "dcterms:hasVersion", | ||||
95 | "dcterms:format", | ||||
96 | "mls:task", | ||||
97 | "datacite:isDescribedBy" | ||||
98 | ], | ||||
99 | "description": "The json representation of the dataset with its | ||||
100 | distributions based on DCAT.", | ||||
101 | "format": "JSON", | ||||
102 | "hash": "", | ||||
103 | "id": "a3e8e710-be4b-4b46-9549-5132987b6156", | ||||
104 | "last_modified": "2024-12-16T17:59:13.926547", | ||||
105 | "metadata_modified": "2024-12-16T17:59:13.937925", | ||||
106 | "mimetype": "application/json", | ||||
107 | "mimetype_inner": null, | ||||
108 | "name": "Original Metadata", | ||||
109 | "package_id": "827517a3-09a3-4720-b018-ebf6b86298dd", | ||||
110 | "position": 0, | ||||
111 | "resource_type": null, | ||||
112 | "size": 1062, | ||||
113 | "state": "active", | ||||
114 | "url": | ||||
115 | resource/a3e8e710-be4b-4b46-9549-5132987b6156/download/metadata.json", | ||||
116 | "url_type": "upload" | ||||
117 | } | ||||
118 | ], | ||||
78 | "services_used_list": "", | 119 | "services_used_list": "", | ||
79 | "state": "active", | 120 | "state": "active", | ||
80 | "tags": [ | 121 | "tags": [ | ||
81 | { | 122 | { | ||
82 | "display_name": "MSTlandmarkv1", | 123 | "display_name": "MSTlandmarkv1", | ||
83 | "id": "fd12d689-e1c5-41c0-96e4-88acd7538ee7", | 124 | "id": "fd12d689-e1c5-41c0-96e4-88acd7538ee7", | ||
84 | "name": "MSTlandmarkv1", | 125 | "name": "MSTlandmarkv1", | ||
85 | "state": "active", | 126 | "state": "active", | ||
86 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
87 | }, | 128 | }, | ||
88 | { | 129 | { | ||
89 | "display_name": "Theory of Mind", | 130 | "display_name": "Theory of Mind", | ||
90 | "id": "cddac54c-fa31-4064-8c29-f1096170bc6f", | 131 | "id": "cddac54c-fa31-4064-8c29-f1096170bc6f", | ||
91 | "name": "Theory of Mind", | 132 | "name": "Theory of Mind", | ||
92 | "state": "active", | 133 | "state": "active", | ||
93 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
94 | }, | 135 | }, | ||
95 | { | 136 | { | ||
96 | "display_name": "actor", | 137 | "display_name": "actor", | ||
97 | "id": "19c879f1-b24b-4fe9-be3d-f188d2a75a10", | 138 | "id": "19c879f1-b24b-4fe9-be3d-f188d2a75a10", | ||
98 | "name": "actor", | 139 | "name": "actor", | ||
99 | "state": "active", | 140 | "state": "active", | ||
100 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
101 | }, | 142 | }, | ||
102 | { | 143 | { | ||
103 | "display_name": "gridworld", | 144 | "display_name": "gridworld", | ||
104 | "id": "35d1ca45-ab30-40a5-ac45-20eee5e8ae99", | 145 | "id": "35d1ca45-ab30-40a5-ac45-20eee5e8ae99", | ||
105 | "name": "gridworld", | 146 | "name": "gridworld", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
110 | "display_name": "labeled trajectories", | 151 | "display_name": "labeled trajectories", | ||
111 | "id": "6941bed1-50f6-4ee1-9a39-5120eda6342f", | 152 | "id": "6941bed1-50f6-4ee1-9a39-5120eda6342f", | ||
112 | "name": "labeled trajectories", | 153 | "name": "labeled trajectories", | ||
113 | "state": "active", | 154 | "state": "active", | ||
114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
115 | }, | 156 | }, | ||
116 | { | 157 | { | ||
117 | "display_name": "robotic tasks", | 158 | "display_name": "robotic tasks", | ||
118 | "id": "f7517381-1a7b-402a-b1a1-4e47f00641b5", | 159 | "id": "f7517381-1a7b-402a-b1a1-4e47f00641b5", | ||
119 | "name": "robotic tasks", | 160 | "name": "robotic tasks", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
122 | }, | 163 | }, | ||
123 | { | 164 | { | ||
124 | "display_name": "safe path", | 165 | "display_name": "safe path", | ||
125 | "id": "9759de19-7596-48e6-8815-3db43f572c6f", | 166 | "id": "9759de19-7596-48e6-8815-3db43f572c6f", | ||
126 | "name": "safe path", | 167 | "name": "safe path", | ||
127 | "state": "active", | 168 | "state": "active", | ||
128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
129 | }, | 170 | }, | ||
130 | { | 171 | { | ||
131 | "display_name": "target", | 172 | "display_name": "target", | ||
132 | "id": "870cf9c2-d323-42c2-95d8-f8f604a62d8a", | 173 | "id": "870cf9c2-d323-42c2-95d8-f8f604a62d8a", | ||
133 | "name": "target", | 174 | "name": "target", | ||
134 | "state": "active", | 175 | "state": "active", | ||
135 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
136 | }, | 177 | }, | ||
137 | { | 178 | { | ||
138 | "display_name": "trajectories", | 179 | "display_name": "trajectories", | ||
139 | "id": "508adfd2-8847-49a0-a9f9-2133381aa2c9", | 180 | "id": "508adfd2-8847-49a0-a9f9-2133381aa2c9", | ||
140 | "name": "trajectories", | 181 | "name": "trajectories", | ||
141 | "state": "active", | 182 | "state": "active", | ||
142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
143 | }, | 184 | }, | ||
144 | { | 185 | { | ||
145 | "display_name": "trajectory estimation", | 186 | "display_name": "trajectory estimation", | ||
146 | "id": "0b3e1bb9-6408-45c0-b92d-5188a5fcf90c", | 187 | "id": "0b3e1bb9-6408-45c0-b92d-5188a5fcf90c", | ||
147 | "name": "trajectory estimation", | 188 | "name": "trajectory estimation", | ||
148 | "state": "active", | 189 | "state": "active", | ||
149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
150 | }, | 191 | }, | ||
151 | { | 192 | { | ||
152 | "display_name": "trajectory planning", | 193 | "display_name": "trajectory planning", | ||
153 | "id": "a39832de-5f34-412f-8fb3-fa8527ec32bb", | 194 | "id": "a39832de-5f34-412f-8fb3-fa8527ec32bb", | ||
154 | "name": "trajectory planning", | 195 | "name": "trajectory planning", | ||
155 | "state": "active", | 196 | "state": "active", | ||
156 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
157 | } | 198 | } | ||
158 | ], | 199 | ], | ||
159 | "title": "Trajectory Dataset", | 200 | "title": "Trajectory Dataset", | ||
160 | "type": "dataset", | 201 | "type": "dataset", | ||
161 | "version": "" | 202 | "version": "" | ||
162 | } | 203 | } |