Changes

              
    

          
          
        
        

            
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{
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{
            
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  "author": "SMDH Data Science Team",
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  "author": "SMDH Data Science Team",
            
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  "author_email": "info@smdh.uk",
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  "author_email": "info@smdh.uk",
            
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  "cloud_storage_key_segment": 
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  "cloud_storage_key_segment": 
            
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"anonymised-indoor-air-quality-benchmarking-dataset",
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"anonymised-indoor-air-quality-benchmarking-dataset",
            
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  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
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  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "ed066cd1-1874-402b-bd38-0ef0ce26894d",
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  "id": "ed066cd1-1874-402b-bd38-0ef0ce26894d",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "cc-nc",
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  "license_id": "cc-nc",
            
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  "license_title": "Creative Commons Non-Commercial (Any)",
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  "license_title": "Creative Commons Non-Commercial (Any)",
            
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
            
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  "maintainer": "Dermot Kerr",
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  "maintainer": "Dermot Kerr",
            
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  "maintainer_email": "d.kerr@ulster.ac.uk",
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  "maintainer_email": "d.kerr@ulster.ac.uk",
            
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  "metadata_created": "2026-03-18T17:19:14.660529",
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  "metadata_created": "2026-03-18T17:19:14.660529",
            
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  "metadata_modified": "2026-03-18T17:19:49.990739",
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  "metadata_modified": "2026-03-18T17:19:52.023148",
            
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  "name": 
17
  "name": 
            
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lster-university--anonymised-indoor-air-quality-benchmarking-dataset",
18
lster-university--anonymised-indoor-air-quality-benchmarking-dataset",
            
19
  "notes": "# Anonymised Indoor Air Quality Benchmarking Dataset -- 
19
  "notes": "# Anonymised Indoor Air Quality Benchmarking Dataset -- 
            
20
Manufacturing Facilities\r\n\r\n## Description\r\n\r\nThis dataset 
20
Manufacturing Facilities\r\n\r\n## Description\r\n\r\nThis dataset 
            
21
contains anonymised benchmarking indicators derived from\r\nindoor 
21
contains anonymised benchmarking indicators derived from\r\nindoor 
            
22
air\u2011quality sensor measurements collected from 
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air\u2011quality sensor measurements collected from 
            
23
manufacturing\r\nfacilities participating in the **Smart Manufacturing 
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manufacturing\r\nfacilities participating in the **Smart Manufacturing 
            
24
Data Hub (SMDH)**\r\nprogramme.\r\n\r\nThe dataset summarises 
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Data Hub (SMDH)**\r\nprogramme.\r\n\r\nThe dataset summarises 
            
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air\u2011quality performance across multiple companies\r\nand sectors 
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air\u2011quality performance across multiple companies\r\nand sectors 
            
26
using aggregated environmental indicators and 
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using aggregated environmental indicators and 
            
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statistical\r\nbenchmarking metrics. The purpose of the dataset is to 
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statistical\r\nbenchmarking metrics. The purpose of the dataset is to 
            
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enable\r\n**cross\u2011company environmental performance comparison 
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enable\r\n**cross\u2011company environmental performance comparison 
            
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while preserving\r\ncompany anonymity**.\r\n\r\nThe dataset focuses on 
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while preserving\r\ncompany anonymity**.\r\n\r\nThe dataset focuses on 
            
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indoor air\u2011quality conditions derived from **CO\u2082\r\nand 
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indoor air\u2011quality conditions derived from **CO\u2082\r\nand 
            
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Total Volatile Organic Compounds (TVOC)** sensor measurements. 
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Total Volatile Organic Compounds (TVOC)** sensor measurements. 
            
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These\r\nmeasurements are converted into air\u2011quality indices and 
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These\r\nmeasurements are converted into air\u2011quality indices and 
            
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benchmarking\r\nindicators that allow comparison across facilities 
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benchmarking\r\nindicators that allow comparison across facilities 
            
34
with different\r\noperational 
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with different\r\noperational 
            
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-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Data Source\r\n\r\nThe data originates from **IFM environmental 
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Data Source\r\n\r\nThe data originates from **IFM environmental 
            
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sensors installed in\r\nparticipating manufacturing facilities**. Raw 
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sensors installed in\r\nparticipating manufacturing facilities**. Raw 
            
38
sensor measurements were\r\nprocessed and aggregated before inclusion 
38
sensor measurements were\r\nprocessed and aggregated before inclusion 
            
39
in this anonymised 
39
in this anonymised 
            
40
-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Anonymisation\r\n\r\nTo protect company confidentiality:\r\n\r\n-   
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Anonymisation\r\n\r\nTo protect company confidentiality:\r\n\r\n-   
            
42
Company names are replaced with anonymised identifiers 
42
Company names are replaced with anonymised identifiers 
            
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(`company1`,\r\n    `company2`, etc.).\r\n-   Sector labels are 
43
(`company1`,\r\n    `company2`, etc.).\r\n-   Sector labels are 
            
44
represented as coded identifiers (`sector_code`).\r\n-   No 
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represented as coded identifiers (`sector_code`).\r\n-   No 
            
45
facility\u2011level identifiers or timestamps that could reveal\r\n    
45
facility\u2011level identifiers or timestamps that could reveal\r\n    
            
46
operational patterns are included.\r\n-   The dataset contains 
46
operational patterns are included.\r\n-   The dataset contains 
            
47
**aggregated benchmarking metrics rather than\r\n    raw sensor 
47
**aggregated benchmarking metrics rather than\r\n    raw sensor 
            
48
-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Dataset Structure\r\n\r\nEach row represents a **company\u2011level 
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Dataset Structure\r\n\r\nEach row represents a **company\u2011level 
            
50
observation for a specific time\r\nperiod**, including environmental 
50
observation for a specific time\r\nperiod**, including environmental 
            
51
indicators and benchmarking metrics\r\nused to compare 
51
indicators and benchmarking metrics\r\nused to compare 
            
52
air\u2011quality performance across companies.\r\n\r\nThe dataset 
52
air\u2011quality performance across companies.\r\n\r\nThe dataset 
            
53
includes:\r\n\r\n-   Environmental performance indicators\r\n-   
53
includes:\r\n\r\n-   Environmental performance indicators\r\n-   
            
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Normalised benchmarking metrics\r\n-   Data coverage indicators\r\n-   
54
Normalised benchmarking metrics\r\n-   Data coverage indicators\r\n-   
            
55
Statistical benchmarking metrics (z\u2011scores)\r\n-   Relative 
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Statistical benchmarking metrics (z\u2011scores)\r\n-   Relative 
            
56
performance 
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performance 
            
57
-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Analytical Methodology\r\n\r\n1.  **Sensor Data Preparation**\r\n    -   
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Analytical Methodology\r\n\r\n1.  **Sensor Data Preparation**\r\n    -   
            
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Cleaning and validation of IFM sensor measurements\r\n    -   Removal 
59
Cleaning and validation of IFM sensor measurements\r\n    -   Removal 
            
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of missing or inconsistent observations\r\n2.  **Indicator 
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of missing or inconsistent observations\r\n2.  **Indicator 
            
61
Construction**\r\n    -   Conversion of CO\u2082 and TVOC measurements 
61
Construction**\r\n    -   Conversion of CO\u2082 and TVOC measurements 
            
62
into air\u2011quality index\r\n        (AQI) metrics\r\n3.  
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into air\u2011quality index\r\n        (AQI) metrics\r\n3.  
            
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**Benchmarking Normalisation**\r\n    -   Normalisation of AQI metrics 
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**Benchmarking Normalisation**\r\n    -   Normalisation of AQI metrics 
            
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to enable cross\u2011company comparison\r\n4.  **Coverage 
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to enable cross\u2011company comparison\r\n4.  **Coverage 
            
65
Assessment**\r\n    -   Calculation of data availability metrics to 
65
Assessment**\r\n    -   Calculation of data availability metrics to 
            
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ensure fair\r\n        benchmarking\r\n5.  **Statistical 
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ensure fair\r\n        benchmarking\r\n5.  **Statistical 
            
67
Benchmarking**\r\n    -   Calculation of **z\u2011scores** to quantify 
67
Benchmarking**\r\n    -   Calculation of **z\u2011scores** to quantify 
            
68
relative performance\r\n        compared with peer companies\r\n6.  
68
relative performance\r\n        compared with peer companies\r\n6.  
            
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**Performance Classification**\r\n    -   Classification of company 
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**Performance Classification**\r\n    -   Classification of company 
            
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performance as **Better**,\r\n        **Average**, or **Worse** 
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performance as **Better**,\r\n        **Average**, or **Worse** 
            
71
relative to 
71
relative to 
            
72
-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Intended Use\r\n\r\nThis dataset supports:\r\n\r\n-   
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Intended Use\r\n\r\nThis dataset supports:\r\n\r\n-   
            
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Cross\u2011company environmental benchmarking\r\n-   Manufacturing 
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Cross\u2011company environmental benchmarking\r\n-   Manufacturing 
            
75
environmental performance analysis\r\n-   Indoor air\u2011quality 
75
environmental performance analysis\r\n-   Indoor air\u2011quality 
            
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research\r\n-   Development of environmental performance 
76
research\r\n-   Development of environmental performance 
            
77
dashboards\r\n-   Academic or industrial research into workplace 
77
dashboards\r\n-   Academic or industrial research into workplace 
            
78
environmental\r\n    
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environmental\r\n    
            
79
-------------------------------------------------------------\r\n\r\n# 
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-------------------------------------------------------------\r\n\r\n# 
            
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Limitations\r\n\r\n-   The dataset contains **derived benchmarking 
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Limitations\r\n\r\n-   The dataset contains **derived benchmarking 
            
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indicators rather than\r\n    raw sensor readings**.\r\n-   Results 
81
indicators rather than\r\n    raw sensor readings**.\r\n-   Results 
            
82
should be interpreted as **relative benchmarking indicators\r\n    
82
should be interpreted as **relative benchmarking indicators\r\n    
            
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rather than regulatory compliance assessments**.\r\n-   Sector codes 
83
rather than regulatory compliance assessments**.\r\n-   Sector codes 
            
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are anonymised and do not represent specific\r\n    industries.",
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are anonymised and do not represent specific\r\n    industries.",
            
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  "num_resources": 1,
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  "num_tags": 2,
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-03-20T14:27:38.943709",
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    "created": "2023-03-20T14:27:38.943709",
            
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    "description": "Ulster University has a sustained track record in 
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    "description": "Ulster University has a sustained track record in 
            
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robotics, computer vision, and computational intelligence. Translating 
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robotics, computer vision, and computational intelligence. Translating 
            
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research into technologies that catalyse innovation in small and large 
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research into technologies that catalyse innovation in small and large 
            
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enterprises, we have been instrumental in attracting inward investment 
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enterprises, we have been instrumental in attracting inward investment 
            
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and developing the knowledge economy. Ulster lead SMDH, lead the 
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and developing the knowledge economy. Ulster lead SMDH, lead the 
            
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virtual manufacturing platform and contribute to data science, 
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virtual manufacturing platform and contribute to data science, 
            
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roll-out and marketing.",
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roll-out and marketing.",
            
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    "image_url": "2023-05-02-104737.949700uu.png",
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    "name": "ulster-university",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Ulster University",
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    "title": "Ulster University",
            
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    "type": "organization"
            
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      "cloud_storage_key": 
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      "name": "ifm_air_quality_analysis_anonymised.csv",
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      "name": "ifm_air_quality_analysis_anonymised.csv",
            
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      "package_id": "ed066cd1-1874-402b-bd38-0ef0ce26894d",
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  "tags": [
            
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      "name": "Sensor-Air_Quality",
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      "name": "Sensor-Air_Quality",
            
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    {
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    {
            
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      "display_name": "Sensor-Air_Quality",
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      "display_name": "Sensor-Air_Quality",
            
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      "id": "e8744a49-efaa-4085-9ec5-b0ad503b6a9c",
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      "id": "e8744a49-efaa-4085-9ec5-b0ad503b6a9c",
            
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      "name": "Sensor-Air_Quality",
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      "name": "Sensor-Air_Quality",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "name": "Sensor-Air_Quality",
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      "name": "Sensor-Air_Quality",
            
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      "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04"
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    }
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  "title": "Anonymised Indoor Air Quality Benchmarking Dataset",
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  "title": "Anonymised Indoor Air Quality Benchmarking Dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "",
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  "url": "",
            
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  "version": "1.0"
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  "version": "1.0"
            
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}
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}