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| 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": "manufacturing-operations-dataset", | 4 | "cloud_storage_key_segment": "manufacturing-operations-dataset", | ||
| 5 | "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c", | 5 | "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c", | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | 7 | "id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | ||
| 8 | "isopen": false, | 8 | "isopen": false, | ||
| 9 | "license_id": "other-nc", | 9 | "license_id": "other-nc", | ||
| 10 | "license_title": "Other (Non-Commercial)", | 10 | "license_title": "Other (Non-Commercial)", | ||
| 11 | "maintainer": "Dermot Kerr", | 11 | "maintainer": "Dermot Kerr", | ||
| 12 | "maintainer_email": "d.kerr@smdh.uk", | 12 | "maintainer_email": "d.kerr@smdh.uk", | ||
| 13 | "metadata_created": "2026-02-20T17:42:37.166534", | 13 | "metadata_created": "2026-02-20T17:42:37.166534", | ||
| t | 14 | "metadata_modified": "2026-02-20T17:46:30.448998", | t | 14 | "metadata_modified": "2026-02-20T17:46:32.480128", |
| 15 | "name": "ulster-university--manufacturing-operations-dataset", | 15 | "name": "ulster-university--manufacturing-operations-dataset", | ||
| 16 | "notes": "# **Manufacturing Operations Dataset | 16 | "notes": "# **Manufacturing Operations Dataset | ||
| 17 | Documentation**\r\n\r\n## **Overview**\r\n\r\nThis package contains | 17 | Documentation**\r\n\r\n## **Overview**\r\n\r\nThis package contains | ||
| 18 | anonymised manufacturing operations datasets extracted from an MES | 18 | anonymised manufacturing operations datasets extracted from an MES | ||
| 19 | (Manufacturing Execution System). These files support the analysis of | 19 | (Manufacturing Execution System). These files support the analysis of | ||
| 20 | **cycle times**, **routing/operation durations**, | 20 | **cycle times**, **routing/operation durations**, | ||
| 21 | **stoppage/downtime**, and **order due-date performance**.\r\n\r\n## | 21 | **stoppage/downtime**, and **order due-date performance**.\r\n\r\n## | ||
| 22 | **Files Summary**\r\n\r\n| File | Rows | Columns | Approx Size (MB) | 22 | **Files Summary**\r\n\r\n| File | Rows | Columns | Approx Size (MB) | ||
| 23 | |\r\n| :---- | :---- | :---- | :---- |\r\n| | 23 | |\r\n| :---- | :---- | :---- | :---- |\r\n| | ||
| 24 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv | 165,384 | 6 | | 24 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv | 165,384 | 6 | | ||
| 25 | 6.34 |\r\n| order\\_analysis\\_anonymised.csv | 53,164 | 9 | 3.83 | 25 | 6.34 |\r\n| order\\_analysis\\_anonymised.csv | 53,164 | 9 | 3.83 | ||
| 26 | |\r\n| product\\_cycle\\_anonymised.csv | 952,730 | 17 | 156.75 |\r\n| | 26 | |\r\n| product\\_cycle\\_anonymised.csv | 952,730 | 17 | 156.75 |\r\n| | ||
| 27 | stoppage\\_all\\_anonymised.csv | 10,891 | 14 | 1.93 |\r\n\r\n## | 27 | stoppage\\_all\\_anonymised.csv | 10,891 | 14 | 1.93 |\r\n\r\n## | ||
| 28 | **Anonymisation & Standards**\r\n\r\n* **Anonymisation:** Company | 28 | **Anonymisation & Standards**\r\n\r\n* **Anonymisation:** Company | ||
| 29 | names are replaced with Company\\_XX. Identifiers such as orderId, | 29 | names are replaced with Company\\_XX. Identifiers such as orderId, | ||
| 30 | unitId, stockId, operationId, eventId, and stoppage id are anonymised | 30 | unitId, stockId, operationId, eventId, and stoppage id are anonymised | ||
| 31 | tokens. No personally identifying information (PII) is present. \r\n* | 31 | tokens. No personally identifying information (PII) is present. \r\n* | ||
| 32 | **Timezones:** Timestamp fields include a UTC offset (e.g., \\+00:00). | 32 | **Timezones:** Timestamp fields include a UTC offset (e.g., \\+00:00). | ||
| 33 | When loading into Pandas, it is recommended to use: | 33 | When loading into Pandas, it is recommended to use: | ||
| 34 | pd.to\\_datetime(col, utc=True, errors='coerce'). \r\n* **Negative | 34 | pd.to\\_datetime(col, utc=True, errors='coerce'). \r\n* **Negative | ||
| 35 | Values:** Some duration fields contain negative values due to system | 35 | Values:** Some duration fields contain negative values due to system | ||
| 36 | clock issues. These should be filtered or investigated during the | 36 | clock issues. These should be filtered or investigated during the | ||
| 37 | cleaning phase.\r\n\r\n## **Data Dictionary**\r\n\r\n### **1\\. | 37 | cleaning phase.\r\n\r\n## **Data Dictionary**\r\n\r\n### **1\\. | ||
| 38 | product\\_cycle\\_anonymised.csv**\r\n\r\nUsed for unit-level and | 38 | product\\_cycle\\_anonymised.csv**\r\n\r\nUsed for unit-level and | ||
| 39 | operation-level benchmarking, bottleneck identification, and | 39 | operation-level benchmarking, bottleneck identification, and | ||
| 40 | variability analysis across routing steps.\r\n\r\n| Column | Type | | 40 | variability analysis across routing steps.\r\n\r\n| Column | Type | | ||
| 41 | Nullable | Description | Notes |\r\n| :---- | :---- | :---- | :---- | | 41 | Nullable | Description | Notes |\r\n| :---- | :---- | :---- | :---- | | ||
| 42 | :---- |\r\n| **stockId** | object | No | Anonymised SKU identifier. | | 42 | :---- |\r\n| **stockId** | object | No | Anonymised SKU identifier. | | ||
| 43 | |\r\n| **avgEstimatedDurationMinutes** | float64 | No | Average | 43 | |\r\n| **avgEstimatedDurationMinutes** | float64 | No | Average | ||
| 44 | estimated duration for this stock/route context. | Range: 1 to | 44 | estimated duration for this stock/route context. | Range: 1 to | ||
| 45 | 6.66e+03 |\r\n| **avgActualDurationMinutes** | float64 | No | Average | 45 | 6.66e+03 |\r\n| **avgActualDurationMinutes** | float64 | No | Average | ||
| 46 | actual duration for this stock/route context. | |\r\n| **unitId** | | 46 | actual duration for this stock/route context. | |\r\n| **unitId** | | ||
| 47 | object | No | Anonymised unit/item identifier. | |\r\n| | 47 | object | No | Anonymised unit/item identifier. | |\r\n| | ||
| 48 | **unitEstimatedDurationMinutes** | float64 | No | Estimated duration | 48 | **unitEstimatedDurationMinutes** | float64 | No | Estimated duration | ||
| 49 | for the unit. | |\r\n| **unitActualDurationMinutes** | float64 | No | | 49 | for the unit. | |\r\n| **unitActualDurationMinutes** | float64 | No | | ||
| 50 | Actual duration for the unit. | |\r\n| **routingIndex** | int64 | No | 50 | Actual duration for the unit. | |\r\n| **routingIndex** | int64 | No | ||
| 51 | | Sequence index of the step within the route. | Range: 1 to 19 |\r\n| | 51 | | Sequence index of the step within the route. | Range: 1 to 19 |\r\n| | ||
| 52 | **routingEstimatedDurationMinutes** | float64 | No | Estimated | 52 | **routingEstimatedDurationMinutes** | float64 | No | Estimated | ||
| 53 | duration for the routing step. | |\r\n| | 53 | duration for the routing step. | |\r\n| | ||
| 54 | **routingActualDurationMinutes** | float64 | No | Actual duration for | 54 | **routingActualDurationMinutes** | float64 | No | Actual duration for | ||
| 55 | the routing step. | Contains 139 negative values. |\r\n| | 55 | the routing step. | Contains 139 negative values. |\r\n| | ||
| 56 | **operationId** | object | No | Anonymised operation identifier. | | 56 | **operationId** | object | No | Anonymised operation identifier. | | ||
| 57 | |\r\n| **operationEstimatedDurationMinutes** | float64 | No | | 57 | |\r\n| **operationEstimatedDurationMinutes** | float64 | No | | ||
| 58 | Estimated duration for the operation. | |\r\n| | 58 | Estimated duration for the operation. | |\r\n| | ||
| 59 | **operationActualDurationMinutes** | float64 | No | Actual duration | 59 | **operationActualDurationMinutes** | float64 | No | Actual duration | ||
| 60 | for the operation. | Contains 165 negative values. |\r\n| | 60 | for the operation. | Contains 165 negative values. |\r\n| | ||
| 61 | **itemRoutingOperationId** | object | No | Unique unit-operation | 61 | **itemRoutingOperationId** | object | No | Unique unit-operation | ||
| 62 | instance ID. | **Primary key** for stoppage joins. |\r\n| **Date** | | 62 | instance ID. | **Primary key** for stoppage joins. |\r\n| **Date** | | ||
| 63 | object | Yes | Production or extract date. | ISO timestamp; 3.35% | 63 | object | Yes | Production or extract date. | ISO timestamp; 3.35% | ||
| 64 | missing. |\r\n| **Company** | object | No | Anonymised company | 64 | missing. |\r\n| **Company** | object | No | Anonymised company | ||
| 65 | identifier. | |\r\n\r\n### **2\\. | 65 | identifier. | |\r\n\r\n### **2\\. | ||
| 66 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv**\r\n\r\nUsed | 66 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv**\r\n\r\nUsed | ||
| 67 | for unit-level rollups to compare flow time against downtime | 67 | for unit-level rollups to compare flow time against downtime | ||
| 68 | contribution.\r\n\r\n| Column | Type | Nullable | Description | Notes | 68 | contribution.\r\n\r\n| Column | Type | Nullable | Description | Notes | ||
| 69 | |\r\n| :---- | :---- | :---- | :---- | :---- |\r\n| **Company** | | 69 | |\r\n| :---- | :---- | :---- | :---- | :---- |\r\n| **Company** | | ||
| 70 | object | No | Anonymised company identifier. | |\r\n| **unitId** | | 70 | object | No | Anonymised company identifier. | |\r\n| **unitId** | | ||
| 71 | object | No | Anonymised unit/item identifier. | |\r\n| | 71 | object | No | Anonymised unit/item identifier. | |\r\n| | ||
| 72 | **unitActualMin** | float64 | No | Actual elapsed time for the unit | 72 | **unitActualMin** | float64 | No | Actual elapsed time for the unit | ||
| 73 | (minutes). | |\r\n| **totalStopMinutes** | float64 | Yes | Total | 73 | (minutes). | |\r\n| **totalStopMinutes** | float64 | Yes | Total | ||
| 74 | stoppage/downtime minutes for the unit. | 96% missing (treat as 0). | 74 | stoppage/downtime minutes for the unit. | 96% missing (treat as 0). | ||
| 75 | |\r\n| **numEvents** | float64 | Yes | Number of stoppage events | 75 | |\r\n| **numEvents** | float64 | Yes | Number of stoppage events | ||
| 76 | linked to the unit. | 96% missing (treat as 0). |\r\n| **numUnits** | | 76 | linked to the unit. | 96% missing (treat as 0). |\r\n| **numUnits** | | ||
| 77 | int64 | No | Count of units represented (usually 1). | |\r\n\r\n### | 77 | int64 | No | Count of units represented (usually 1). | |\r\n\r\n### | ||
| 78 | **3\\. order\\_analysis\\_anonymised.csv**\r\n\r\nUsed for analysing | 78 | **3\\. order\\_analysis\\_anonymised.csv**\r\n\r\nUsed for analysing | ||
| 79 | on-time delivery performance and lateness patterns for completed vs | 79 | on-time delivery performance and lateness patterns for completed vs | ||
| 80 | open orders.\r\n\r\n| Column | Type | Nullable | Description | Notes | 80 | open orders.\r\n\r\n| Column | Type | Nullable | Description | Notes | ||
| 81 | |\r\n| :---- | :---- | :---- | :---- | :---- |\r\n| **orderId** | | 81 | |\r\n| :---- | :---- | :---- | :---- | :---- |\r\n| **orderId** | | ||
| 82 | object | No | Anonymised sales/work order identifier. | |\r\n| | 82 | object | No | Anonymised sales/work order identifier. | |\r\n| | ||
| 83 | **requiredByDate** | object | Yes | Required-by (due) date/time for | 83 | **requiredByDate** | object | Yes | Required-by (due) date/time for | ||
| 84 | the order. | ISO timestamp. |\r\n| **completedDate** | object | Yes | | 84 | the order. | ISO timestamp. |\r\n| **completedDate** | object | Yes | | ||
| 85 | Completion date/time. | Null for open orders (81%). |\r\n| | 85 | Completion date/time. | Null for open orders (81%). |\r\n| | ||
| 86 | **lateByDays** | float64 | Yes | Order lateness in days (completed \\- | 86 | **lateByDays** | float64 | Yes | Order lateness in days (completed \\- | ||
| 87 | required). | |\r\n| **lateByDays\\_raw** | float64 | Yes | Raw | 87 | required). | |\r\n| **lateByDays\\_raw** | float64 | Yes | Raw | ||
| 88 | lateness (includes negative values). | |\r\n| **open\\_days\\_late** | 88 | lateness (includes negative values). | |\r\n| **open\\_days\\_late** | ||
| 89 | | float64 | Yes | Lateness relative to extract time for open orders. | | 89 | | float64 | Yes | Lateness relative to extract time for open orders. | | ||
| 90 | |\r\n| **Is\\_Perfect** | float64 | Yes | Perfect-order flag (1=on | 90 | |\r\n| **Is\\_Perfect** | float64 | Yes | Perfect-order flag (1=on | ||
| 91 | time, 0=late). | |\r\n| **combinedLateDays** | float64 | Yes | Single | 91 | time, 0=late). | |\r\n| **combinedLateDays** | float64 | Yes | Single | ||
| 92 | metric combining open and closed lateness. | |\r\n| **Company** | | 92 | metric combining open and closed lateness. | |\r\n| **Company** | | ||
| 93 | object | No | Anonymised company identifier. | |\r\n\r\n### **4\\. | 93 | object | No | Anonymised company identifier. | |\r\n\r\n### **4\\. | ||
| 94 | stoppage\\_all\\_anonymised.csv**\r\n\r\nUsed for identifying top | 94 | stoppage\\_all\\_anonymised.csv**\r\n\r\nUsed for identifying top | ||
| 95 | downtime reasons by operation or company.\r\n\r\n| Column | Type | | 95 | downtime reasons by operation or company.\r\n\r\n| Column | Type | | ||
| 96 | Nullable | Description | Notes |\r\n| :---- | :---- | :---- | :---- | | 96 | Nullable | Description | Notes |\r\n| :---- | :---- | :---- | :---- | | ||
| 97 | :---- |\r\n| **id** | object | No | Anonymised stoppage reason | 97 | :---- |\r\n| **id** | object | No | Anonymised stoppage reason | ||
| 98 | identifier. | |\r\n| **description** | object | No | Stoppage reason | 98 | identifier. | |\r\n| **description** | object | No | Stoppage reason | ||
| 99 | description (e.g. Machine Issue). | |\r\n| **operationId** | object | | 99 | description (e.g. Machine Issue). | |\r\n| **operationId** | object | | ||
| 100 | No | Anonymised operation identifier. | |\r\n| **operationName** | | 100 | No | Anonymised operation identifier. | |\r\n| **operationName** | | ||
| 101 | object | No | Human-readable operation name. | |\r\n| **eventId** | | 101 | object | No | Human-readable operation name. | |\r\n| **eventId** | | ||
| 102 | object | No | Anonymised stoppage event identifier. | |\r\n| | 102 | object | No | Anonymised stoppage event identifier. | |\r\n| | ||
| 103 | **eventStartDate** | object | No | Stoppage event start timestamp. | | 103 | **eventStartDate** | object | No | Stoppage event start timestamp. | | ||
| 104 | |\r\n| **eventEndDate** | object | No | Stoppage event end timestamp. | 104 | |\r\n| **eventEndDate** | object | No | Stoppage event end timestamp. | ||
| 105 | | |\r\n| **eventTimeTrackedInMinutes** | float64 | No | Tracked time | 105 | | |\r\n| **eventTimeTrackedInMinutes** | float64 | No | Tracked time | ||
| 106 | as recorded by the source system. | |\r\n| **eventDurationMinutes** | | 106 | as recorded by the source system. | |\r\n| **eventDurationMinutes** | | ||
| 107 | float64 | No | Duration computed from end \\- start. | |\r\n| | 107 | float64 | No | Duration computed from end \\- start. | |\r\n| | ||
| 108 | **itemRoutingOperationId** | object | No | Unique unit-operation | 108 | **itemRoutingOperationId** | object | No | Unique unit-operation | ||
| 109 | instance ID. | Link to product\\_cycle. |\r\n| **itemUnit** | object | | 109 | instance ID. | Link to product\\_cycle. |\r\n| **itemUnit** | object | | ||
| 110 | No | Anonymised unit/item identifier. | Link to unitId. |\r\n| | 110 | No | Anonymised unit/item identifier. | Link to unitId. |\r\n| | ||
| 111 | **Company** | object | No | Anonymised company identifier. | | 111 | **Company** | object | No | Anonymised company identifier. | | ||
| 112 | |\r\n\r\n## **Suggested Join Keys**\r\n\r\n* **Unit Tracking:** unitId | 112 | |\r\n\r\n## **Suggested Join Keys**\r\n\r\n* **Unit Tracking:** unitId | ||
| 113 | \u2194 itemUnit \r\n* **Operation Specifics:** itemRoutingOperationId | 113 | \u2194 itemUnit \r\n* **Operation Specifics:** itemRoutingOperationId | ||
| 114 | (Best key to connect duration records to specific stoppage events). | 114 | (Best key to connect duration records to specific stoppage events). | ||
| 115 | \r\n* **Organisation:** Company \r\n* **Process Step:** | 115 | \r\n* **Organisation:** Company \r\n* **Process Step:** | ||
| 116 | operationId\r\n\r\n## **Data Quality Notes**\r\n\r\n* **Missing | 116 | operationId\r\n\r\n## **Data Quality Notes**\r\n\r\n* **Missing | ||
| 117 | Data:** Many records in | 117 | Data:** Many records in | ||
| 118 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv have nulls for | 118 | df\\_unit\\_level\\_cycle\\_downtime\\_anonymised.csv have nulls for | ||
| 119 | downtime. This typically indicates zero downtime events occurred for | 119 | downtime. This typically indicates zero downtime events occurred for | ||
| 120 | that unit. \r\n* **Open Orders:** A high percentage (81%) of orders | 120 | that unit. \r\n* **Open Orders:** A high percentage (81%) of orders | ||
| 121 | are currently open. Analysis of these should focus on | 121 | are currently open. Analysis of these should focus on | ||
| 122 | open\\_days\\_late rather than completedDate. \r\n* **Negatives:** | 122 | open\\_days\\_late rather than completedDate. \r\n* **Negatives:** | ||
| 123 | Negative durations in product\\_cycle\\_anonymised.csv (specifically | 123 | Negative durations in product\\_cycle\\_anonymised.csv (specifically | ||
| 124 | in actual duration columns) should be treated as data quality | 124 | in actual duration columns) should be treated as data quality | ||
| 125 | errors.\r\n\r\n**Provenance:** Please record the extract date, source | 125 | errors.\r\n\r\n**Provenance:** Please record the extract date, source | ||
| 126 | system version, and any applied filters (date range, plant, or | 126 | system version, and any applied filters (date range, plant, or | ||
| 127 | operation types) externally to ensure benchmarking is reproducible.", | 127 | operation types) externally to ensure benchmarking is reproducible.", | ||
| 128 | "num_resources": 5, | 128 | "num_resources": 5, | ||
| 129 | "num_tags": 0, | 129 | "num_tags": 0, | ||
| 130 | "organization": { | 130 | "organization": { | ||
| 131 | "approval_status": "approved", | 131 | "approval_status": "approved", | ||
| 132 | "created": "2023-03-20T14:27:38.943709", | 132 | "created": "2023-03-20T14:27:38.943709", | ||
| 133 | "description": "Ulster University has a sustained track record in | 133 | "description": "Ulster University has a sustained track record in | ||
| 134 | robotics, computer vision, and computational intelligence. Translating | 134 | robotics, computer vision, and computational intelligence. Translating | ||
| 135 | research into technologies that catalyse innovation in small and large | 135 | research into technologies that catalyse innovation in small and large | ||
| 136 | enterprises, we have been instrumental in attracting inward investment | 136 | enterprises, we have been instrumental in attracting inward investment | ||
| 137 | and developing the knowledge economy. Ulster lead SMDH, lead the | 137 | and developing the knowledge economy. Ulster lead SMDH, lead the | ||
| 138 | virtual manufacturing platform and contribute to data science, | 138 | virtual manufacturing platform and contribute to data science, | ||
| 139 | roll-out and marketing.", | 139 | roll-out and marketing.", | ||
| 140 | "id": "ef5c8779-8217-40b9-a33a-bf371253343c", | 140 | "id": "ef5c8779-8217-40b9-a33a-bf371253343c", | ||
| 141 | "image_url": "2023-05-02-104737.949700uu.png", | 141 | "image_url": "2023-05-02-104737.949700uu.png", | ||
| 142 | "is_organization": true, | 142 | "is_organization": true, | ||
| 143 | "name": "ulster-university", | 143 | "name": "ulster-university", | ||
| 144 | "state": "active", | 144 | "state": "active", | ||
| 145 | "title": "Ulster University", | 145 | "title": "Ulster University", | ||
| 146 | "type": "organization" | 146 | "type": "organization" | ||
| 147 | }, | 147 | }, | ||
| 148 | "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c", | 148 | "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c", | ||
| 149 | "private": false, | 149 | "private": false, | ||
| 150 | "relationships_as_object": [], | 150 | "relationships_as_object": [], | ||
| 151 | "relationships_as_subject": [], | 151 | "relationships_as_subject": [], | ||
| 152 | "resources": [ | 152 | "resources": [ | ||
| 153 | { | 153 | { | ||
| 154 | "cache_last_updated": null, | 154 | "cache_last_updated": null, | ||
| 155 | "cache_url": null, | 155 | "cache_url": null, | ||
| 156 | "cloud_storage_key": | 156 | "cloud_storage_key": | ||
| 157 | ersity/manufacturing-operations-dataset/product_cycle_anonymised.csv", | 157 | ersity/manufacturing-operations-dataset/product_cycle_anonymised.csv", | ||
| 158 | "created": "2026-02-20T17:42:53.412400", | 158 | "created": "2026-02-20T17:42:53.412400", | ||
| 159 | "datastore_active": false, | 159 | "datastore_active": false, | ||
| 160 | "description": "", | 160 | "description": "", | ||
| 161 | "format": "CSV", | 161 | "format": "CSV", | ||
| 162 | "hash": "", | 162 | "hash": "", | ||
| 163 | "id": "95e6e119-d1cf-4af5-953d-03319e214c08", | 163 | "id": "95e6e119-d1cf-4af5-953d-03319e214c08", | ||
| 164 | "last_modified": null, | 164 | "last_modified": null, | ||
| 165 | "metadata_modified": "2026-02-20T17:43:14.758038", | 165 | "metadata_modified": "2026-02-20T17:43:14.758038", | ||
| 166 | "mimetype": null, | 166 | "mimetype": null, | ||
| 167 | "mimetype_inner": null, | 167 | "mimetype_inner": null, | ||
| 168 | "name": "product_cycle_anonymised.csv", | 168 | "name": "product_cycle_anonymised.csv", | ||
| 169 | "package_id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | 169 | "package_id": "8ddb1432-fa3a-4173-a46c-915fe230e08e", | ||
| 170 | "position": 0, | 170 | "position": 0, | ||
| 171 | "resource_type": null, | 171 | "resource_type": null, | ||
| 172 | "size": 129602146, | 172 | "size": 129602146, | ||
| 173 | "state": "active", | 173 | "state": "active", | ||
| 174 | "url": | 174 | "url": | ||
| 175 | 19-d1cf-4af5-953d-03319e214c08/download/product_cycle_anonymised.csv", | 175 | 19-d1cf-4af5-953d-03319e214c08/download/product_cycle_anonymised.csv", | ||
| 176 | "url_type": "upload" | 176 | "url_type": "upload" | ||
| 177 | }, | 177 | }, | ||
| 178 | { | 178 | { | ||
| 179 | "cache_last_updated": null, | 179 | "cache_last_updated": null, | ||
| 180 | "cache_url": null, | 180 | "cache_url": null, | ||
| 181 | "cloud_storage_key": | 181 | "cloud_storage_key": | ||
| 182 | uring-operations-dataset/df_unit_level_cycle_downtime_anonymised.csv", | 182 | uring-operations-dataset/df_unit_level_cycle_downtime_anonymised.csv", | ||
| 183 | "created": "2026-02-20T17:43:42.271766", | 183 | "created": "2026-02-20T17:43:42.271766", | ||
| 184 | "datastore_active": false, | 184 | "datastore_active": false, | ||
| 185 | "description": "", | 185 | "description": "", | ||
| 186 | "format": "CSV", | 186 | "format": "CSV", | ||
| 187 | "hash": "", | 187 | "hash": "", | ||
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