Зміни

              
    

          
          
        
        

            
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{
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{
            
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  "author": "SMDH Data Science Team",
2
  "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": "2026-03-18T17:19:48.549782",
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  "metadata_modified": "2026-03-18T17:19:49.312225",
            
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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 
            
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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 
29
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 
            
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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 
            
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-------------------------------------------------------------\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-   
41
Anonymisation\r\n\r\nTo protect company confidentiality:\r\n\r\n-   
            
42
Company names are replaced with anonymised identifiers 
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Company names are replaced with anonymised identifiers 
            
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(`company1`,\r\n    `company2`, etc.).\r\n-   Sector labels are 
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(`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 
            
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observation for a specific time\r\nperiod**, including environmental 
50
observation for a specific time\r\nperiod**, including environmental 
            
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indicators and benchmarking metrics\r\nused to compare 
51
indicators and benchmarking metrics\r\nused to compare 
            
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air\u2011quality performance across companies.\r\n\r\nThe dataset 
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air\u2011quality performance across companies.\r\n\r\nThe dataset 
            
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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-   
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Normalised benchmarking metrics\r\n-   Data coverage indicators\r\n-   
            
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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 
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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 
            
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Construction**\r\n    -   Conversion of CO\u2082 and TVOC measurements 
61
Construction**\r\n    -   Conversion of CO\u2082 and TVOC measurements 
            
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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 
            
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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 
            
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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.  
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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** 
            
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relative to 
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relative to 
            
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-------------------------------------------------------------\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 
74
Cross\u2011company environmental benchmarking\r\n-   Manufacturing 
            
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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 
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research\r\n-   Development of environmental performance 
            
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dashboards\r\n-   Academic or industrial research into workplace 
77
dashboards\r\n-   Academic or industrial research into workplace 
            
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environmental\r\n    
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environmental\r\n    
            
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-------------------------------------------------------------\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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    "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 
91
robotics, computer vision, and computational intelligence. Translating 
            
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research into technologies that catalyse innovation in small and large 
92
research into technologies that catalyse innovation in small and large 
            
93
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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    "name": "ulster-university",
            
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    "state": "active",
            
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    "title": "Ulster University",
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    "title": "Ulster University",
            
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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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      "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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    },
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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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  "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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}