Changes
On December 2, 2024 at 11:45:23 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Crime dataset -
Changed value of field
doi_date_published
to2024-12-02
in Crime dataset -
Added resource Original Metadata to Crime dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Giandomenico Cornacchia", | 3 | "author": "Giandomenico Cornacchia", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2109.08344", | 6 | "https://doi.org/10.48550/arXiv.2109.08344", | ||
7 | "https://doi.org/10.48550/arXiv.2302.08158" | 7 | "https://doi.org/10.48550/arXiv.2302.08158" | ||
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.2004.08773", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2004.08773", | ||
11 | "doi": "10.57702/nazp53du", | 11 | "doi": "10.57702/nazp53du", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-02", |
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": "Vito Walter Anelli", | 18 | "extra_author": "Vito Walter Anelli", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Fedelucio Narducci", | 22 | "extra_author": "Fedelucio Narducci", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "Azzurra Ragone", | 26 | "extra_author": "Azzurra Ragone", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | }, | 28 | }, | ||
29 | { | 29 | { | ||
30 | "extra_author": "Eugenio Di Sciascio", | 30 | "extra_author": "Eugenio Di Sciascio", | ||
31 | "orcid": "" | 31 | "orcid": "" | ||
32 | } | 32 | } | ||
33 | ], | 33 | ], | ||
34 | "groups": [ | 34 | "groups": [ | ||
35 | { | 35 | { | ||
36 | "description": "", | 36 | "description": "", | ||
37 | "display_name": "Crime", | 37 | "display_name": "Crime", | ||
38 | "id": "0bff1a78-7bea-4bfa-98f5-31cc1c81aa6e", | 38 | "id": "0bff1a78-7bea-4bfa-98f5-31cc1c81aa6e", | ||
39 | "image_display_url": "", | 39 | "image_display_url": "", | ||
40 | "name": "crime", | 40 | "name": "crime", | ||
41 | "title": "Crime" | 41 | "title": "Crime" | ||
42 | }, | 42 | }, | ||
43 | { | 43 | { | ||
44 | "description": "", | 44 | "description": "", | ||
45 | "display_name": "Fairness in machine learning", | 45 | "display_name": "Fairness in machine learning", | ||
46 | "id": "acd9ab59-b298-49cd-8e2b-8de7d366522b", | 46 | "id": "acd9ab59-b298-49cd-8e2b-8de7d366522b", | ||
47 | "image_display_url": "", | 47 | "image_display_url": "", | ||
48 | "name": "fairness-in-machine-learning", | 48 | "name": "fairness-in-machine-learning", | ||
49 | "title": "Fairness in machine learning" | 49 | "title": "Fairness in machine learning" | ||
50 | }, | 50 | }, | ||
51 | { | 51 | { | ||
52 | "description": "", | 52 | "description": "", | ||
53 | "display_name": "Machine Learning", | 53 | "display_name": "Machine Learning", | ||
54 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 54 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
55 | "image_display_url": "", | 55 | "image_display_url": "", | ||
56 | "name": "machine-learning", | 56 | "name": "machine-learning", | ||
57 | "title": "Machine Learning" | 57 | "title": "Machine Learning" | ||
58 | }, | 58 | }, | ||
59 | { | 59 | { | ||
60 | "description": "", | 60 | "description": "", | ||
61 | "display_name": "Regression", | 61 | "display_name": "Regression", | ||
62 | "id": "36d9eacb-af2f-490b-a390-0dffafc2b613", | 62 | "id": "36d9eacb-af2f-490b-a390-0dffafc2b613", | ||
63 | "image_display_url": "", | 63 | "image_display_url": "", | ||
64 | "name": "regression", | 64 | "name": "regression", | ||
65 | "title": "Regression" | 65 | "title": "Regression" | ||
66 | } | 66 | } | ||
67 | ], | 67 | ], | ||
68 | "id": "c51c6088-f7d5-4176-a764-67365d969d5a", | 68 | "id": "c51c6088-f7d5-4176-a764-67365d969d5a", | ||
69 | "isopen": false, | 69 | "isopen": false, | ||
70 | "landing_page": | 70 | "landing_page": | ||
71 | "https://archive.ics.uci.edu/ml/datasets/US+Census+Data+(1990)", | 71 | "https://archive.ics.uci.edu/ml/datasets/US+Census+Data+(1990)", | ||
72 | "license_title": null, | 72 | "license_title": null, | ||
73 | "link_orkg": "", | 73 | "link_orkg": "", | ||
74 | "metadata_created": "2024-12-02T23:45:21.497459", | 74 | "metadata_created": "2024-12-02T23:45:21.497459", | ||
n | 75 | "metadata_modified": "2024-12-02T23:45:21.497464", | n | 75 | "metadata_modified": "2024-12-02T23:45:21.986983", |
76 | "name": "crime-dataset", | 76 | "name": "crime-dataset", | ||
77 | "notes": "The dataset used in this paper is the Crime dataset, which | 77 | "notes": "The dataset used in this paper is the Crime dataset, which | ||
78 | is a real-world UCI Machine Learning Census dataset for violent state | 78 | is a real-world UCI Machine Learning Census dataset for violent state | ||
79 | prediction.", | 79 | prediction.", | ||
n | 80 | "num_resources": 0, | n | 80 | "num_resources": 1, |
81 | "num_tags": 7, | 81 | "num_tags": 7, | ||
82 | "organization": { | 82 | "organization": { | ||
83 | "approval_status": "approved", | 83 | "approval_status": "approved", | ||
84 | "created": "2024-11-25T12:11:38.292601", | 84 | "created": "2024-11-25T12:11:38.292601", | ||
85 | "description": "", | 85 | "description": "", | ||
86 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 86 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
87 | "image_url": "", | 87 | "image_url": "", | ||
88 | "is_organization": true, | 88 | "is_organization": true, | ||
89 | "name": "no-organization", | 89 | "name": "no-organization", | ||
90 | "state": "active", | 90 | "state": "active", | ||
91 | "title": "No Organization", | 91 | "title": "No Organization", | ||
92 | "type": "organization" | 92 | "type": "organization" | ||
93 | }, | 93 | }, | ||
94 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 94 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
95 | "private": false, | 95 | "private": false, | ||
96 | "relationships_as_object": [], | 96 | "relationships_as_object": [], | ||
97 | "relationships_as_subject": [], | 97 | "relationships_as_subject": [], | ||
t | 98 | "resources": [], | t | 98 | "resources": [ |
99 | { | ||||
100 | "cache_last_updated": null, | ||||
101 | "cache_url": null, | ||||
102 | "created": "2024-12-03T00:20:35", | ||||
103 | "data": [ | ||||
104 | "dcterms:title", | ||||
105 | "dcterms:accessRights", | ||||
106 | "dcterms:creator", | ||||
107 | "dcterms:description", | ||||
108 | "dcterms:issued", | ||||
109 | "dcterms:language", | ||||
110 | "dcterms:identifier", | ||||
111 | "dcat:theme", | ||||
112 | "dcterms:type", | ||||
113 | "dcat:keyword", | ||||
114 | "dcat:landingPage", | ||||
115 | "dcterms:hasVersion", | ||||
116 | "dcterms:format", | ||||
117 | "mls:task", | ||||
118 | "datacite:isDescribedBy" | ||||
119 | ], | ||||
120 | "description": "The json representation of the dataset with its | ||||
121 | distributions based on DCAT.", | ||||
122 | "format": "JSON", | ||||
123 | "hash": "", | ||||
124 | "id": "21edf694-669d-4454-9739-b866ebbe9620", | ||||
125 | "last_modified": "2024-12-02T23:45:21.979187", | ||||
126 | "metadata_modified": "2024-12-02T23:45:21.989822", | ||||
127 | "mimetype": "application/json", | ||||
128 | "mimetype_inner": null, | ||||
129 | "name": "Original Metadata", | ||||
130 | "package_id": "c51c6088-f7d5-4176-a764-67365d969d5a", | ||||
131 | "position": 0, | ||||
132 | "resource_type": null, | ||||
133 | "size": 1106, | ||||
134 | "state": "active", | ||||
135 | "url": | ||||
136 | resource/21edf694-669d-4454-9739-b866ebbe9620/download/metadata.json", | ||||
137 | "url_type": "upload" | ||||
138 | } | ||||
139 | ], | ||||
99 | "services_used_list": "", | 140 | "services_used_list": "", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "tags": [ | 142 | "tags": [ | ||
102 | { | 143 | { | ||
103 | "display_name": "crime", | 144 | "display_name": "crime", | ||
104 | "id": "b0716d37-9e8e-4eb3-9b08-685367c31bcc", | 145 | "id": "b0716d37-9e8e-4eb3-9b08-685367c31bcc", | ||
105 | "name": "crime", | 146 | "name": "crime", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
110 | "display_name": "crime rate", | 151 | "display_name": "crime rate", | ||
111 | "id": "55432704-b751-4efd-9f5f-8a2394cd680d", | 152 | "id": "55432704-b751-4efd-9f5f-8a2394cd680d", | ||
112 | "name": "crime rate", | 153 | "name": "crime rate", | ||
113 | "state": "active", | 154 | "state": "active", | ||
114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
115 | }, | 156 | }, | ||
116 | { | 157 | { | ||
117 | "display_name": "machine learning", | 158 | "display_name": "machine learning", | ||
118 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 159 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
119 | "name": "machine learning", | 160 | "name": "machine learning", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
122 | }, | 163 | }, | ||
123 | { | 164 | { | ||
124 | "display_name": "regression", | 165 | "display_name": "regression", | ||
125 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | 166 | "id": "a1cdd080-ae6d-4393-b574-05dad39cd78b", | ||
126 | "name": "regression", | 167 | "name": "regression", | ||
127 | "state": "active", | 168 | "state": "active", | ||
128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
129 | }, | 170 | }, | ||
130 | { | 171 | { | ||
131 | "display_name": "socio-economic information", | 172 | "display_name": "socio-economic information", | ||
132 | "id": "35ed778e-3916-4e7e-8364-de51f4d7ae6b", | 173 | "id": "35ed778e-3916-4e7e-8364-de51f4d7ae6b", | ||
133 | "name": "socio-economic information", | 174 | "name": "socio-economic information", | ||
134 | "state": "active", | 175 | "state": "active", | ||
135 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
136 | }, | 177 | }, | ||
137 | { | 178 | { | ||
138 | "display_name": "uci", | 179 | "display_name": "uci", | ||
139 | "id": "6a04f03d-32bf-4183-ba06-cc395f346d03", | 180 | "id": "6a04f03d-32bf-4183-ba06-cc395f346d03", | ||
140 | "name": "uci", | 181 | "name": "uci", | ||
141 | "state": "active", | 182 | "state": "active", | ||
142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
143 | }, | 184 | }, | ||
144 | { | 185 | { | ||
145 | "display_name": "violent state prediction", | 186 | "display_name": "violent state prediction", | ||
146 | "id": "9749504f-2ab7-4be8-8f9e-0bc782fc7ae9", | 187 | "id": "9749504f-2ab7-4be8-8f9e-0bc782fc7ae9", | ||
147 | "name": "violent state prediction", | 188 | "name": "violent state prediction", | ||
148 | "state": "active", | 189 | "state": "active", | ||
149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
150 | } | 191 | } | ||
151 | ], | 192 | ], | ||
152 | "title": "Crime dataset", | 193 | "title": "Crime dataset", | ||
153 | "type": "dataset", | 194 | "type": "dataset", | ||
154 | "version": "" | 195 | "version": "" | ||
155 | } | 196 | } |