Cloud Gaming Supply Chain Emissions
This dataset provides detailed, granular tracking of carbon emissions across cloud gaming supply chains, covering hardware sourcing, distribution logistics, operational energy use, and ESG compliance. It enables sustainability managers and analysts to pinpoint emission hotspots, monitor compliance, and optimize supply chain processes for environmental impact reduction.
Sample rows
preview · 8 of 150 rows · all 23 columns| emission_idstring | hardware_typestring | distribution_emissions_kgco2efloat | renewable_energy_usedboolean | operation_location_statestring | platform_idstring | platform_namestring | hardware_supplier_idstring | hardware_supplier_namestring | hardware_quantityinteger | hardware_country_of_originstring | distribution_methodstring | distribution_distance_kmfloat | operation_location_citystring | operation_location_countrystring | operation_start_datedate | operation_end_datedate | operation_energy_consumed_kwhfloat | operation_emissions_kgco2efloat | total_emissions_kgco2efloat | reporting_period_startdate | reporting_period_enddate | esg_compliance_statusstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EM001 | GPU | 25120.8 | false | CA | PLAT01 | Streamify | SUP001 | Nvidia | 12000 | China | Air | 11300.5 | San Francisco | USA | 2022-01-05 | blank | 1200000 | 103200.2 | 128321 | 2022-01-01 | 2022-01-31 | Non-Compliant |
| EM002 | CPU | 45.3 | true | TX | PLAT02 | CloudArcade | SUP002 | Intel | 800 | USA | Road | 320.7 | Austin | USA | 2022-02-10 | blank | 8500.9 | 113.2 | 158.5 | 2022-02-01 | 2022-02-28 | Compliant |
| EM003 | Storage | 1600 | true | NSW | PLAT03 | PlayCloud | SUP003 | Samsung | 90 | South Korea | Sea | 9400.4 | Sydney | Australia | 2022-03-15 | 2022-12-10 | 4100.2 | 62.9 | 1662.9 | 2022-03-01 | 2022-03-31 | Compliant |
| EM004 | Server | 230.5 | true | IL | PLAT01 | Streamify | SUP004 | Dell | 250 | USA | Rail | 1800.6 | Chicago | USA | 2022-04-20 | blank | 22000.5 | 480.2 | 710.7 | 2022-04-01 | 2022-04-30 | Compliant |
| EM005 | Networking | 2000 | false | MH | PLAT04 | GameStream | SUP005 | Huawei | 1700 | China | Sea | 8800.7 | Mumbai | India | 2022-05-01 | blank | 99000.3 | 2100.1 | 4100.1 | 2022-05-01 | 2022-05-31 | Pending |
| EM006 | Server | 6.7 | true | blank | PLAT05 | VirtualPlay | SUP006 | Lenovo | 60 | China | Road | 55.9 | Beijing | China | 2022-06-15 | blank | 2200 | 25.2 | 31.9 | 2022-06-01 | 2022-06-30 | Compliant |
| EM007 | Networking | 0.5 | true | WA | PLAT06 | CloudArcade | SUP007 | Cisco | 100 | USA | Other | 2.3 | Seattle | USA | 2022-07-10 | 2023-02-01 | 800 | 10.2 | 10.7 | 2022-07-01 | 2022-07-31 | Compliant |
| EM008 | CPU | 110 | true | ON | PLAT03 | PlayCloud | SUP008 | AMD | 300 | USA | Rail | 900 | Toronto | Canada | 2022-08-20 | blank | 5000.7 | 29.2 | 139.2 | 2022-08-01 | 2022-08-31 | Compliant |
| EM009 | Storage | 890.2 | true | blank | PLAT04 | GameStream | SUP009 | Western Digital | 44 | Japan | Sea | 6100.6 | Osaka | Japan | 2022-09-05 | blank | 1700.2 | 19 | 909.2 | 2022-09-01 | 2022-09-30 | Compliant |
| EM010 | GPU | 48000.8 | false | blank | PLAT07 | ArcadiaPlay | SUP010 | Nvidia | 35000 | Taiwan | Air | 14800.7 | Dublin | Ireland | 2022-10-15 | blank | 3200000.6 | 309800.1 | 357800.9 | 2022-10-01 | 2022-10-31 | Non-Compliant |
| EM011 | Server | 2.6 | true | blank | PLAT08 | NextLevel | SUP011 | Supermicro | 62 | USA | Road | 30.4 | London | UK | 2022-11-10 | blank | 790.3 | 12.4 | 15 | 2022-11-01 | 2022-11-30 | Compliant |
| EM012 | CPU | 150.3 | true | DL | PLAT09 | GameHive | SUP012 | HP | 470 | India | Rail | 1200.2 | Delhi | India | 2022-12-05 | blank | 6400.1 | 34.2 | 184.5 | 2022-12-01 | 2022-12-31 | Compliant |
| EM013 | Storage | 1100.7 | true | blank | PLAT10 | PlayCloud | SUP013 | Hitachi | 30 | Japan | Sea | 7200.8 | Berlin | Germany | 2023-01-10 | blank | 1300 | 15.7 | 1116.4 | 2023-01-01 | 2023-01-31 | Compliant |
| EM014 | Server | 7.5 | true | MA | PLAT02 | CloudArcade | SUP014 | IBM | 100 | USA | Road | 80.5 | Boston | USA | 2023-02-12 | blank | 1900.2 | 18.6 | 26.1 | 2023-02-01 | 2023-02-28 | Compliant |
| EM015 | CPU | 14000.5 | false | NY | PLAT11 | GameStream | SUP015 | Foxconn | 6000 | China | Air | 10800.6 | New York | USA | 2023-03-05 | blank | 800000.2 | 52000.1 | 66000.6 | 2023-03-01 | 2023-03-31 | Non-Compliant |
| EM016 | Networking | 3200.9 | false | blank | PLAT09 | GameHive | SUP016 | Cisco | 2100 | USA | Sea | 13300.2 | Rio de Janeiro | Brazil | 2023-04-15 | blank | 180000.7 | 4700.5 | 7901.4 | 2023-04-01 | 2023-04-30 | Pending |
| EM017 | Server | 3.9 | true | CA | PLAT12 | Streamify | SUP017 | Dell | 70 | USA | Road | 40.2 | Los Angeles | USA | 2023-05-08 | 2023-11-30 | 900.2 | 16.4 | 20.3 | 2023-05-01 | 2023-05-31 | Compliant |
| EM018 | GPU | 17800.2 | false | blank | PLAT13 | VirtualPlay | SUP018 | Nvidia | 8000 | Taiwan | Air | 10500.3 | Bangkok | Thailand | 2023-06-15 | blank | 610000.1 | 49000.3 | 66800.5 | 2023-06-01 | 2023-06-30 | Non-Compliant |
| EM019 | Storage | 2200.5 | true | blank | PLAT14 | NextLevel | SUP019 | Samsung | 115 | South Korea | Sea | 8700.7 | Cape Town | South Africa | 2023-07-10 | blank | 2500.4 | 29.8 | 2230.3 | 2023-07-01 | 2023-07-31 | Compliant |
| EM020 | Server | 6.2 | true | blank | PLAT15 | ArcadiaPlay | SUP020 | Lenovo | 180 | China | Road | 75.8 | Paris | France | 2023-08-05 | blank | 1100.3 | 12.7 | 18.9 | 2023-08-01 | 2023-08-31 | Compliant |
What the 150 rows show
from the 150-row sampleGPU (hardware type) stands out: mean distribution_
- 65%renewable_
energy_ used = true - 415.0median distribution_
emissions_ kgco2e - 3esg compliance statuses
- 5distribution methods
- 11hardware country of origins
- 20hardware supplier names
Median 415.0, from 0.0 to 48,001.
- string 12
- integer 1
- float 5
- date 4
- boolean 1
Columns
23 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 12 columns | |||
emission_id | string | Unique identifier for each emission recordunique | EM001 |
platform_id | string | Unique identifier for the cloud gaming platform | PLAT01 |
platform_name | string | Name of the cloud gaming platform | Streamify |
hardware_supplier_id | string | Unique identifier for the hardware supplier | SUP001 |
hardware_supplier_name | string | Name of the hardware supplier | Nvidia |
hardware_type | string | Type of hardware sourced (e.g., GPU, server, storage)6 values | GPU |
hardware_country_of_origin | string | Country where the hardware was manufactured11 origins | China |
distribution_method | string | Method of hardware distribution (e.g., air, sea, road)Air · Sea · Road · Rail · Other | Air |
operation_location_city | string | City where cloud gaming operations take place | San Francisco |
operation_location_state | string | State or province where cloud gaming operations take placeoptional | CA |
operation_location_country | string | Country where cloud gaming operations take place | USA |
esg_compliance_status | string | Status of ESG compliance for this supply chain recordCompliant · Non-Compliant · Pending · Unknown | Non-Compliant |
| Numbers 6 columns | |||
hardware_quantity | integer | Number of hardware units sourced1 or more | 12000 |
distribution_distance_km | float | Distance hardware traveled during distribution in kilometers0 or more | 11300.5 |
distribution_emissions_kgco2e | float | Carbon emissions from hardware distribution in kilograms CO2 equivalent0 or more | 25120.8 |
operation_energy_consumed_kwh | float | Total energy consumed during operations in kilowatt-hours0 or more | 1200000 |
operation_emissions_kgco2e | float | Carbon emissions from operations in kilograms CO2 equivalent0 or more | 103200.2 |
total_emissions_kgco2e | float | Total carbon emissions for the supply chain record (distribution + operations)0 or more | 128321 |
| Dates and times 4 columns | |||
operation_start_date | date | Date when cloud gaming operations started at this location | 2022-01-05 |
operation_end_date | date | Date when cloud gaming operations ended at this location (if applicable)optional | 2022-12-10 |
reporting_period_start | date | Start date of the reporting period for this emission record | 2022-01-01 |
reporting_period_end | date | End date of the reporting period for this emission record | 2022-01-31 |
| True or false 1 column | |||
renewable_energy_used | boolean | Indicates if renewable energy was used during operations | false |
Use it for
A gaming dashboard
The renewable_
energy_ used rate, distribution_ emissions_ kgco2e by hardware_ type and a breakdown of operation_ location_ state. Excel, Power BI or Tableau. Why do the 19 GPU rows have a mean distribution_
emissions_ kgco2e of 23,920? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Emissions150EM00125120.8GPUEM00245.3CPUEM0031600Storage
A software demo
Believable emissions with platform_
id, platform_ name and hardware_ supplier_ id to fill a screen in front of a buyer.
This dataset150 rows23 columns
Yours1,000 rows23 columnshardware_country_of_origin: UK only
blueprint · cloud-gaming-supply-chain-emissions
Behind this dataset
Same schema. As many rows as you need.
These 150 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
Rules it was built with
- Each row represents a unique product shipment or hardware batch
- Emissions are calculated per shipment based on distance, transport type, and hardware type
- Include only shipments directly linked to platform operations (exclude third-party peripherals)
- Flag shipments with emissions above defined thresholds for review and mitigation
- Audit data for completeness; missing shipment details must be marked and excluded from analysis
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- cloud-gaming-supply-chain-emissions