Promene

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "SMDH Data Science Team",
2
  "author": "SMDH Data Science Team",
            
3
  "author_email": "info@smdh.uk",
3
  "author_email": "info@smdh.uk",
            
4
  "cloud_storage_key_segment": 
4
  "cloud_storage_key_segment": 
            
5
"manufacturing-assets-production-dataset",
5
"manufacturing-assets-production-dataset",
            
6
  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
6
  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
            
7
  "groups": [],
7
  "groups": [],
            
8
  "id": "db0e88cc-c141-4317-832d-034b080490b3",
8
  "id": "db0e88cc-c141-4317-832d-034b080490b3",
            
9
  "isopen": false,
9
  "isopen": false,
            
10
  "license_id": "cc-nc",
10
  "license_id": "cc-nc",
            
11
  "license_title": "Creative Commons Non-Commercial (Any)",
11
  "license_title": "Creative Commons Non-Commercial (Any)",
            
12
  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
12
  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
            
13
  "maintainer": "Dermot Kerr",
13
  "maintainer": "Dermot Kerr",
            
14
  "maintainer_email": "d.kerr@ulster.ac.uk",
14
  "maintainer_email": "d.kerr@ulster.ac.uk",
            
15
  "metadata_created": "2026-03-18T17:26:16.122430",
15
  "metadata_created": "2026-03-18T17:26:16.122430",
            
n
16
  "metadata_modified": "2026-03-18T17:26:17.453473",
n
16
  "metadata_modified": "2026-03-18T17:26:42.025108",
            
17
  "name": 
17
  "name": 
            
18
"ulster-university--manufacturing-assets-production-dataset",
18
"ulster-university--manufacturing-assets-production-dataset",
            
19
  "notes": "** Overview\r\n\r\nThis dataset contains shift-level 
19
  "notes": "** Overview\r\n\r\nThis dataset contains shift-level 
            
20
production and operational measurements for multiple assets across a 
20
production and operational measurements for multiple assets across a 
            
21
company. It is intended for use in:\r\n\u2022 Production 
21
company. It is intended for use in:\r\n\u2022 Production 
            
22
analytics\r\n\u2022 Operational efficiency studies\r\n\u2022 
22
analytics\r\n\u2022 Operational efficiency studies\r\n\u2022 
            
23
Industrial data science applications\r\n\r\n** Potential Use 
23
Industrial data science applications\r\n\r\n** Potential Use 
            
24
Cases\r\nThis dataset can be used for:\r\n\u2022 Production 
24
Cases\r\nThis dataset can be used for:\r\n\u2022 Production 
            
25
performance analysis\r\n\u2022 Downtime and issue analysis\r\n\u2022 
25
performance analysis\r\n\u2022 Downtime and issue analysis\r\n\u2022 
            
26
Operational efficiency studies\r\n\r\n** Contact / 
26
Operational efficiency studies\r\n\r\n** Contact / 
            
27
Attribution\r\nDataset prepared for research and educational purposes 
27
Attribution\r\nDataset prepared for research and educational purposes 
            
28
by Ulster University.\r\nGenerated and processed for public use. All 
28
by Ulster University.\r\nGenerated and processed for public use. All 
            
29
identifiers anonymised to ensure privacy.",
29
identifiers anonymised to ensure privacy.",
            
n
30
  "num_resources": 0,
n
30
  "num_resources": 1,
            
31
  "num_tags": 0,
31
  "num_tags": 0,
            
32
  "organization": {
32
  "organization": {
            
33
    "approval_status": "approved",
33
    "approval_status": "approved",
            
34
    "created": "2023-03-20T14:27:38.943709",
34
    "created": "2023-03-20T14:27:38.943709",
            
35
    "description": "Ulster University has a sustained track record in 
35
    "description": "Ulster University has a sustained track record in 
            
36
robotics, computer vision, and computational intelligence. Translating 
36
robotics, computer vision, and computational intelligence. Translating 
            
37
research into technologies that catalyse innovation in small and large 
37
research into technologies that catalyse innovation in small and large 
            
38
enterprises, we have been instrumental in attracting inward investment 
38
enterprises, we have been instrumental in attracting inward investment 
            
39
and developing the knowledge economy. Ulster lead SMDH, lead the 
39
and developing the knowledge economy. Ulster lead SMDH, lead the 
            
40
virtual manufacturing platform and contribute to data science, 
40
virtual manufacturing platform and contribute to data science, 
            
41
roll-out and marketing.",
41
roll-out and marketing.",
            
42
    "id": "ef5c8779-8217-40b9-a33a-bf371253343c",
42
    "id": "ef5c8779-8217-40b9-a33a-bf371253343c",
            
43
    "image_url": "2023-05-02-104737.949700uu.png",
43
    "image_url": "2023-05-02-104737.949700uu.png",
            
44
    "is_organization": true,
44
    "is_organization": true,
            
45
    "name": "ulster-university",
45
    "name": "ulster-university",
            
46
    "state": "active",
46
    "state": "active",
            
47
    "title": "Ulster University",
47
    "title": "Ulster University",
            
48
    "type": "organization"
48
    "type": "organization"
            
49
  },
49
  },
            
50
  "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c",
50
  "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c",
            
51
  "private": false,
51
  "private": false,
            
52
  "relationships_as_object": [],
52
  "relationships_as_object": [],
            
53
  "relationships_as_subject": [],
53
  "relationships_as_subject": [],
            
t
54
  "resources": [],
t
54
  "resources": [
            
55
    {
            
56
      "cache_last_updated": null,
            
57
      "cache_url": null,
            
58
      "cloud_storage_key": 
            
59
"1/ulster-university/manufacturing-assets-production-dataset/Readme - 
            
60
Asset Activity Dataset.pdf",
            
61
      "created": "2026-03-18T17:26:42.032137",
            
62
      "datastore_active": false,
            
63
      "description": "",
            
64
      "format": "PDF",
            
65
      "hash": "",
            
66
      "id": "6c30ad1b-ba4b-45e3-892c-fe4392cc6010",
            
67
      "last_modified": null,
            
68
      "metadata_modified": "2026-03-18T17:26:42.028218",
            
69
      "mimetype": null,
            
70
      "mimetype_inner": null,
            
71
      "name": "Readme - Asset Activity Dataset.pdf",
            
72
      "package_id": "db0e88cc-c141-4317-832d-034b080490b3",
            
73
      "position": 0,
            
74
      "resource_type": null,
            
75
      "size": 156834,
            
76
      "state": "active",
            
77
      "url": 
            
78
4b-45e3-892c-fe4392cc6010/download/readme-asset-activity-dataset.pdf",
            
79
      "url_type": "upload"
            
80
    }
            
81
  ],
            
55
  "share_internally": false,
82
  "share_internally": false,
            
56
  "state": "draft",
83
  "state": "draft",
            
57
  "tags": [],
84
  "tags": [],
            
58
  "title": "Manufacturing Assets Production Dataset",
85
  "title": "Manufacturing Assets Production Dataset",
            
59
  "type": "dataset",
86
  "type": "dataset",
            
60
  "url": "",
87
  "url": "",
            
61
  "version": ""
88
  "version": ""
            
62
}
89
}