Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Ravid Shwartz-Ziv",
3
  "author": "Ravid Shwartz-Ziv",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [
5
  "citation": [
            
6
    "https://doi.org/10.48550/arXiv.1911.09189"
6
    "https://doi.org/10.48550/arXiv.1911.09189"
            
7
  ],
7
  ],
            
8
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
8
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
9
  "defined_in": "https://doi.org/10.48550/arXiv.2402.06173",
9
  "defined_in": "https://doi.org/10.48550/arXiv.2402.06173",
            
10
  "doi": "10.57702/apmfowip",
10
  "doi": "10.57702/apmfowip",
            
n
11
  "doi_date_published": null,
n
11
  "doi_date_published": "2024-12-16",
            
12
  "doi_publisher": "TIB",
12
  "doi_publisher": "TIB",
            
n
13
  "doi_status": false,
n
13
  "doi_status": true,
            
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": "Alexander A. Alemi",
17
      "extra_author": "Alexander A. Alemi",
            
18
      "orcid": ""
18
      "orcid": ""
            
19
    }
19
    }
            
20
  ],
20
  ],
            
21
  "groups": [
21
  "groups": [
            
22
    {
22
    {
            
23
      "description": "",
23
      "description": "",
            
24
      "display_name": "Bayesian Inference",
24
      "display_name": "Bayesian Inference",
            
25
      "id": "b4902b70-aea6-4875-a590-f754960c1e4d",
25
      "id": "b4902b70-aea6-4875-a590-f754960c1e4d",
            
26
      "image_display_url": "",
26
      "image_display_url": "",
            
27
      "name": "bayesian-inference",
27
      "name": "bayesian-inference",
            
28
      "title": "Bayesian Inference"
28
      "title": "Bayesian Inference"
            
29
    },
29
    },
            
30
    {
30
    {
            
31
      "description": "",
31
      "description": "",
            
32
      "display_name": "Machine Learning",
32
      "display_name": "Machine Learning",
            
33
      "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a",
33
      "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a",
            
34
      "image_display_url": "",
34
      "image_display_url": "",
            
35
      "name": "machine-learning",
35
      "name": "machine-learning",
            
36
      "title": "Machine Learning"
36
      "title": "Machine Learning"
            
37
    }
37
    }
            
38
  ],
38
  ],
            
39
  "id": "46fbbc65-c2fc-46f1-9867-81206834fcd3",
39
  "id": "46fbbc65-c2fc-46f1-9867-81206834fcd3",
            
40
  "isopen": false,
40
  "isopen": false,
            
41
  "landing_page": "https://arxiv.org/abs/1902.06720",
41
  "landing_page": "https://arxiv.org/abs/1902.06720",
            
42
  "license_title": null,
42
  "license_title": null,
            
43
  "link_orkg": "",
43
  "link_orkg": "",
            
44
  "metadata_created": "2024-12-16T20:40:46.571314",
44
  "metadata_created": "2024-12-16T20:40:46.571314",
            
n
45
  "metadata_modified": "2024-12-16T20:40:46.571320",
n
45
  "metadata_modified": "2024-12-16T20:40:46.951166",
            
46
  "name": "gaussian-dataset",
46
  "name": "gaussian-dataset",
            
47
  "notes": "The dataset used in the paper is a Gaussian distribution 
47
  "notes": "The dataset used in the paper is a Gaussian distribution 
            
48
with m observations and d-dimensional parameter.",
48
with m observations and d-dimensional parameter.",
            
n
49
  "num_resources": 0,
n
49
  "num_resources": 1,
            
50
  "num_tags": 7,
50
  "num_tags": 7,
            
51
  "organization": {
51
  "organization": {
            
52
    "approval_status": "approved",
52
    "approval_status": "approved",
            
53
    "created": "2024-11-25T12:11:38.292601",
53
    "created": "2024-11-25T12:11:38.292601",
            
54
    "description": "",
54
    "description": "",
            
55
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
55
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
56
    "image_url": "",
56
    "image_url": "",
            
57
    "is_organization": true,
57
    "is_organization": true,
            
58
    "name": "no-organization",
58
    "name": "no-organization",
            
59
    "state": "active",
59
    "state": "active",
            
60
    "title": "No Organization",
60
    "title": "No Organization",
            
61
    "type": "organization"
61
    "type": "organization"
            
62
  },
62
  },
            
63
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
63
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
64
  "private": false,
64
  "private": false,
            
65
  "relationships_as_object": [],
65
  "relationships_as_object": [],
            
66
  "relationships_as_subject": [],
66
  "relationships_as_subject": [],
            
t
67
  "resources": [],
t
67
  "resources": [
            
68
    {
            
69
      "cache_last_updated": null,
            
70
      "cache_url": null,
            
71
      "created": "2024-12-16T18:25:46",
            
72
      "data": [
            
73
        "dcterms:title",
            
74
        "dcterms:accessRights",
            
75
        "dcterms:creator",
            
76
        "dcterms:description",
            
77
        "dcterms:issued",
            
78
        "dcterms:language",
            
79
        "dcterms:identifier",
            
80
        "dcat:theme",
            
81
        "dcterms:type",
            
82
        "dcat:keyword",
            
83
        "dcat:landingPage",
            
84
        "dcterms:hasVersion",
            
85
        "dcterms:format",
            
86
        "mls:task",
            
87
        "datacite:isDescribedBy"
            
88
      ],
            
89
      "description": "The json representation of the dataset with its 
            
90
distributions based on DCAT.",
            
91
      "format": "JSON",
            
92
      "hash": "",
            
93
      "id": "be81585f-1e12-4f53-b694-4bb560479fbc",
            
94
      "last_modified": "2024-12-16T20:40:46.943021",
            
95
      "metadata_modified": "2024-12-16T20:40:46.954089",
            
96
      "mimetype": "application/json",
            
97
      "mimetype_inner": null,
            
98
      "name": "Original Metadata",
            
99
      "package_id": "46fbbc65-c2fc-46f1-9867-81206834fcd3",
            
100
      "position": 0,
            
101
      "resource_type": null,
            
102
      "size": 919,
            
103
      "state": "active",
            
104
      "url": 
            
105
resource/be81585f-1e12-4f53-b694-4bb560479fbc/download/metadata.json",
            
106
      "url_type": "upload"
            
107
    }
            
108
  ],
            
68
  "services_used_list": "",
109
  "services_used_list": "",
            
69
  "state": "active",
110
  "state": "active",
            
70
  "tags": [
111
  "tags": [
            
71
    {
112
    {
            
72
      "display_name": "Bayesian inference",
113
      "display_name": "Bayesian inference",
            
73
      "id": "99e22c16-8c54-4f25-af52-487dd38e5ca6",
114
      "id": "99e22c16-8c54-4f25-af52-487dd38e5ca6",
            
74
      "name": "Bayesian inference",
115
      "name": "Bayesian inference",
            
75
      "state": "active",
116
      "state": "active",
            
76
      "vocabulary_id": null
117
      "vocabulary_id": null
            
77
    },
118
    },
            
78
    {
119
    {
            
79
      "display_name": "Gaussian",
120
      "display_name": "Gaussian",
            
80
      "id": "ab98f5a6-1f16-4623-b5b5-8241122716e6",
121
      "id": "ab98f5a6-1f16-4623-b5b5-8241122716e6",
            
81
      "name": "Gaussian",
122
      "name": "Gaussian",
            
82
      "state": "active",
123
      "state": "active",
            
83
      "vocabulary_id": null
124
      "vocabulary_id": null
            
84
    },
125
    },
            
85
    {
126
    {
            
86
      "display_name": "Gaussian distribution",
127
      "display_name": "Gaussian distribution",
            
87
      "id": "694d55fd-a8fd-4fcc-b01f-d5f98dd5cb70",
128
      "id": "694d55fd-a8fd-4fcc-b01f-d5f98dd5cb70",
            
88
      "name": "Gaussian distribution",
129
      "name": "Gaussian distribution",
            
89
      "state": "active",
130
      "state": "active",
            
90
      "vocabulary_id": null
131
      "vocabulary_id": null
            
91
    },
132
    },
            
92
    {
133
    {
            
93
      "display_name": "Information Theory",
134
      "display_name": "Information Theory",
            
94
      "id": "ffad58c7-8171-49f2-a435-3f7ecc7699f8",
135
      "id": "ffad58c7-8171-49f2-a435-3f7ecc7699f8",
            
95
      "name": "Information Theory",
136
      "name": "Information Theory",
            
96
      "state": "active",
137
      "state": "active",
            
97
      "vocabulary_id": null
138
      "vocabulary_id": null
            
98
    },
139
    },
            
99
    {
140
    {
            
100
      "display_name": "Jointly Gaussian",
141
      "display_name": "Jointly Gaussian",
            
101
      "id": "75810c87-acfd-4467-8331-87cb80db64cd",
142
      "id": "75810c87-acfd-4467-8331-87cb80db64cd",
            
102
      "name": "Jointly Gaussian",
143
      "name": "Jointly Gaussian",
            
103
      "state": "active",
144
      "state": "active",
            
104
      "vocabulary_id": null
145
      "vocabulary_id": null
            
105
    },
146
    },
            
106
    {
147
    {
            
107
      "display_name": "Machine Learning",
148
      "display_name": "Machine Learning",
            
108
      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
149
      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
            
109
      "name": "Machine Learning",
150
      "name": "Machine Learning",
            
110
      "state": "active",
151
      "state": "active",
            
111
      "vocabulary_id": null
152
      "vocabulary_id": null
            
112
    },
153
    },
            
113
    {
154
    {
            
114
      "display_name": "Sequential Monte Carlo",
155
      "display_name": "Sequential Monte Carlo",
            
115
      "id": "a0f1fe34-e273-47c8-9fd4-55de88e14abe",
156
      "id": "a0f1fe34-e273-47c8-9fd4-55de88e14abe",
            
116
      "name": "Sequential Monte Carlo",
157
      "name": "Sequential Monte Carlo",
            
117
      "state": "active",
158
      "state": "active",
            
118
      "vocabulary_id": null
159
      "vocabulary_id": null
            
119
    }
160
    }
            
120
  ],
161
  ],
            
121
  "title": "Gaussian dataset",
162
  "title": "Gaussian dataset",
            
122
  "type": "dataset",
163
  "type": "dataset",
            
123
  "version": ""
164
  "version": ""
            
124
}
165
}