Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Chao Lian",
3
  "author": "Chao Lian",
            
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",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2203.05235",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2203.05235",
            
8
  "doi": "10.57702/o3y8ei2e",
8
  "doi": "10.57702/o3y8ei2e",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-16",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
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
    {
            
15
      "extra_author": "Yuliang Zhao",
15
      "extra_author": "Yuliang Zhao",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Zhikun Zhan",
19
      "extra_author": "Zhikun Zhan",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Wen J. Li",
23
      "extra_author": "Wen J. Li",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    }
25
    }
            
26
  ],
26
  ],
            
27
  "groups": [
27
  "groups": [
            
28
    {
28
    {
            
29
      "description": "",
29
      "description": "",
            
30
      "display_name": "Image Processing",
30
      "display_name": "Image Processing",
            
31
      "id": "31f537e7-23f2-4663-9ae4-f2147dfbce50",
31
      "id": "31f537e7-23f2-4663-9ae4-f2147dfbce50",
            
32
      "image_display_url": "",
32
      "image_display_url": "",
            
33
      "name": "image-processing",
33
      "name": "image-processing",
            
34
      "title": "Image Processing"
34
      "title": "Image Processing"
            
35
    },
35
    },
            
36
    {
36
    {
            
37
      "description": "",
37
      "description": "",
            
38
      "display_name": "Time Series Analysis",
38
      "display_name": "Time Series Analysis",
            
39
      "id": "c0b2d680-8a2d-4a70-8cea-3de77e468832",
39
      "id": "c0b2d680-8a2d-4a70-8cea-3de77e468832",
            
40
      "image_display_url": "",
40
      "image_display_url": "",
            
41
      "name": "time-series-analysis",
41
      "name": "time-series-analysis",
            
42
      "title": "Time Series Analysis"
42
      "title": "Time Series Analysis"
            
43
    }
43
    }
            
44
  ],
44
  ],
            
45
  "id": "c08dd1e7-7d3b-4249-b401-58f7a183fc8d",
45
  "id": "c08dd1e7-7d3b-4249-b401-58f7a183fc8d",
            
46
  "isopen": false,
46
  "isopen": false,
            
47
  "landing_page": "",
47
  "landing_page": "",
            
48
  "license_title": null,
48
  "license_title": null,
            
49
  "link_orkg": "",
49
  "link_orkg": "",
            
50
  "metadata_created": "2024-12-16T23:43:42.143325",
50
  "metadata_created": "2024-12-16T23:43:42.143325",
            
n
51
  "metadata_modified": "2024-12-16T23:43:42.143331",
n
51
  "metadata_modified": "2024-12-16T23:43:42.715234",
            
52
  "name": 
52
  "name": 
            
53
and-hyperspace-coding-for-multi-dimensional-time-series-data-imaging",
53
and-hyperspace-coding-for-multi-dimensional-time-series-data-imaging",
            
54
  "notes": "Multi-Dimensional time series classification and 
54
  "notes": "Multi-Dimensional time series classification and 
            
55
prediction has been widely used in many fields, as disease prevention, 
55
prediction has been widely used in many fields, as disease prevention, 
            
56
fault diagnosis and action recognition.",
56
fault diagnosis and action recognition.",
            
n
57
  "num_resources": 0,
n
57
  "num_resources": 1,
            
58
  "num_tags": 3,
58
  "num_tags": 3,
            
59
  "organization": {
59
  "organization": {
            
60
    "approval_status": "approved",
60
    "approval_status": "approved",
            
61
    "created": "2024-11-25T12:11:38.292601",
61
    "created": "2024-11-25T12:11:38.292601",
            
62
    "description": "",
62
    "description": "",
            
63
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
63
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
64
    "image_url": "",
64
    "image_url": "",
            
65
    "is_organization": true,
65
    "is_organization": true,
            
66
    "name": "no-organization",
66
    "name": "no-organization",
            
67
    "state": "active",
67
    "state": "active",
            
68
    "title": "No Organization",
68
    "title": "No Organization",
            
69
    "type": "organization"
69
    "type": "organization"
            
70
  },
70
  },
            
71
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
71
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
72
  "private": false,
72
  "private": false,
            
73
  "relationships_as_object": [],
73
  "relationships_as_object": [],
            
74
  "relationships_as_subject": [],
74
  "relationships_as_subject": [],
            
t
75
  "resources": [],
t
75
  "resources": [
            
76
    {
            
77
      "cache_last_updated": null,
            
78
      "cache_url": null,
            
79
      "created": "2024-12-16T23:37:12",
            
80
      "data": [
            
81
        "dcterms:title",
            
82
        "dcterms:accessRights",
            
83
        "dcterms:creator",
            
84
        "dcterms:description",
            
85
        "dcterms:issued",
            
86
        "dcterms:language",
            
87
        "dcterms:identifier",
            
88
        "dcat:theme",
            
89
        "dcterms:type",
            
90
        "dcat:keyword",
            
91
        "dcat:landingPage",
            
92
        "dcterms:hasVersion",
            
93
        "dcterms:format",
            
94
        "mls:task",
            
95
        "datacite:isDescribedBy"
            
96
      ],
            
97
      "description": "The json representation of the dataset with its 
            
98
distributions based on DCAT.",
            
99
      "format": "JSON",
            
100
      "hash": "",
            
101
      "id": "35f079df-b242-44da-96fb-846eb33d7dac",
            
102
      "last_modified": "2024-12-16T23:43:42.707772",
            
103
      "metadata_modified": "2024-12-16T23:43:42.718011",
            
104
      "mimetype": "application/json",
            
105
      "mimetype_inner": null,
            
106
      "name": "Original Metadata",
            
107
      "package_id": "c08dd1e7-7d3b-4249-b401-58f7a183fc8d",
            
108
      "position": 0,
            
109
      "resource_type": null,
            
110
      "size": 848,
            
111
      "state": "active",
            
112
      "url": 
            
113
resource/35f079df-b242-44da-96fb-846eb33d7dac/download/metadata.json",
            
114
      "url_type": "upload"
            
115
    }
            
116
  ],
            
76
  "services_used_list": "",
117
  "services_used_list": "",
            
77
  "state": "active",
118
  "state": "active",
            
78
  "tags": [
119
  "tags": [
            
79
    {
120
    {
            
80
      "display_name": "Deep Learning",
121
      "display_name": "Deep Learning",
            
81
      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
122
      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            
82
      "name": "Deep Learning",
123
      "name": "Deep Learning",
            
83
      "state": "active",
124
      "state": "active",
            
84
      "vocabulary_id": null
125
      "vocabulary_id": null
            
85
    },
126
    },
            
86
    {
127
    {
            
87
      "display_name": "Image Fusion",
128
      "display_name": "Image Fusion",
            
88
      "id": "c75fe929-10c7-4e55-aeb3-9e7e31676545",
129
      "id": "c75fe929-10c7-4e55-aeb3-9e7e31676545",
            
89
      "name": "Image Fusion",
130
      "name": "Image Fusion",
            
90
      "state": "active",
131
      "state": "active",
            
91
      "vocabulary_id": null
132
      "vocabulary_id": null
            
92
    },
133
    },
            
93
    {
134
    {
            
94
      "display_name": "Multi-Dimensional Time Series",
135
      "display_name": "Multi-Dimensional Time Series",
            
95
      "id": "620bcbbc-8dcb-4995-8473-86a3784e6788",
136
      "id": "620bcbbc-8dcb-4995-8473-86a3784e6788",
            
96
      "name": "Multi-Dimensional Time Series",
137
      "name": "Multi-Dimensional Time Series",
            
97
      "state": "active",
138
      "state": "active",
            
98
      "vocabulary_id": null
139
      "vocabulary_id": null
            
99
    }
140
    }
            
100
  ],
141
  ],
            
101
  "title": "Data-Folding and Hyperspace Coding for Multi-Dimensional 
142
  "title": "Data-Folding and Hyperspace Coding for Multi-Dimensional 
            
102
Time-Series Data Imaging",
143
Time-Series Data Imaging",
            
103
  "type": "dataset",
144
  "type": "dataset",
            
104
  "version": ""
145
  "version": ""
            
105
}
146
}