Gaming Server Carbon Tracking
This dataset provides detailed, timestamped records of energy consumption and carbon emissions for gaming servers, including server location, platform, energy sources, and ESG compliance indicators. It enables operators and environmental teams to benchmark sustainability performance, optimize energy efficiency, and support regulatory reporting for digital services. The dataset is ideal for tracking progress toward ESG goals and identifying opportunities for greener operations.
Sample rows
preview · 8 of 120 rows · all 16 columns| record_idstring | platformstring | measurement_period_hoursfloat | esg_compliance_flagboolean | notesstring | server_idstring | server_namestring | location_countrystring | location_regionstring | data_center_idstring | timestampdatetime | energy_consumed_kwhfloat | carbon_emissions_kgco2efloat | server_utilization_percentfloat | renewable_energy_percentfloat | energy_sourcestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1f3acb28-cd27-4e29-9a03-020ec1a7 | AWS | 24 | true | Standard weekday load | srv-us-001 | US-East-Prod-Gaming | USA | Virginia | dc-us-aws-01 | 2022-03-14T10:23:00Z | 156.3 | 45.8 | 78.2 | 22.1 | grid |
| srv-mex-025-delta | Azure | 24 | true | blank | srv-mx-025 | Mexico-Player-Delta | Mexico | Jalisco | dc-mx-azure-03 | 2023-11-21T15:30:00Z | 97.4 | 38.2 | 68.5 | 32.4 | mixed |
| c7c3b5d8-9ac8-4d8f-8f8c-5e9b0f2c | GCP | 12 | true | Zero carbon; wind powered | srv-de-011 | Berlin-Game-Alpha | Germany | Berlin | dc-de-gcp-01 | 2024-01-10T08:10:00Z | 52.7 | 2.7 | 85.6 | 96.2 | wind |
| 8aadf3d2-6e2f-4ad8-b2c1-3c1e2e4a | AWS | 24 | true | Standard weekday load | srv-uk-003 | London-Arcade | United Kingdom | London | dc-uk-aws-03 | 2022-06-29T19:40:00Z | 82.5 | 29.1 | 74.3 | 41.8 | mixed |
| b3d2e1c9-54f5-41d6-b2c9-e9fc7d7a | GCP | 48 | false | Gaming expo; peak load | srv-au-018 | Sydney-Game-Expo | Australia | New South Wales | dc-au-gcp-02 | 2023-08-10T03:22:00Z | 1121.5 | 1202.4 | 96.1 | 4.3 | grid |
| srv-jp-017-zenith | Azure | 12 | true | Fully solar powered | srv-jp-017 | Tokyo-Zenith | Japan | Tokyo | dc-jp-azure-01 | 2024-04-05T15:00:00Z | 48.3 | 2.1 | 70.7 | 90.2 | solar |
| 5e4b3d2c-c7a6-4e8c-8e5a-9b2f7c4e | AWS | 24 | true | blank | srv-in-009 | Mumbai-Racer | India | Maharashtra | dc-in-aws-03 | 2023-02-19T11:11:00Z | 152.1 | 49.3 | 65.4 | 21.4 | grid |
| 6d5b4c3e-2f1a-43d8-9b4c-8e2f9a5b | AWS | 0.5 | false | Test run | srv-us-002 | USA-West-Test | USA | Oregon | dc-us-aws-02 | 2022-05-02T02:45:00Z | 0.09 | 0.1 | 0 | 0 | grid |
| srv-dk-004-north | Other | 4 | true | Zero carbon; wind powered | srv-dk-004 | Copenhagen-North | Denmark | Copenhagen | dc-dk-other-01 | 2024-02-22T17:12:00Z | 15.4 | 0 | 36.8 | 100 | wind |
| dc-sa-001 | On-premise | 72 | false | Coal-heavy region | srv-sa-001 | SaoPaulo-Battle | Brazil | Sao Paulo | blank | 2023-09-11T12:30:00Z | 210.3 | 190.2 | 17.3 | 3.8 | grid |
| srv-sg-008-lion | Azure | 8 | true | blank | srv-sg-008 | Singapore-Lion | Singapore | Singapore | dc-sg-azure-01 | 2022-07-20T15:55:00Z | 32.2 | 1.9 | 48.6 | 94.8 | hydro |
| 9f8a7b6c-5e4d-4c3b-8e6a-7b5c4e3a | AWS | 6 | true | Zero carbon; wind powered | srv-fi-003 | Helsinki-Green | Finland | Uusimaa | dc-fi-aws-02 | 2023-04-12T09:00:00Z | 30.2 | 0 | 60.8 | 100 | wind |
| srv-za-002-johannes | On-premise | 168 | false | Data anomaly | srv-za-002 | Johannesburg-Prime | South Africa | Gauteng | blank | 2022-09-27T18:45:00Z | 302.3 | 380.7 | 10.1 | 1.2 | grid |
| 7b6c5e4d-3c2b-4a1e-8f7a-6b5c3e4a | On-premise | 24 | false | Holiday; server on standby | srv-rus-005 | Moscow-Winter | Russia | Moscow | dc-ru-onp-02 | 2022-12-25T23:59:00Z | 15.2 | 12.7 | 6.8 | 0 | grid |
| srv-ie-002-belfast | GCP | 4 | true | Zero carbon; hydro powered | srv-ie-002 | Belfast-Cloud | Ireland | Belfast | dc-ie-gcp-02 | 2023-03-17T11:59:00Z | 20.8 | 0.1 | 32.9 | 99.8 | hydro |
| srv-ng-015-lagos | On-premise | 24 | false | blank | srv-ng-015 | Lagos-FunZone | Nigeria | Lagos | blank | 2024-03-30T21:01:00Z | 8.2 | 7.3 | 14 | 0 | grid |
| e2a1c9b3-5d4f-4c7e-8a9b-2f0c7e4d | AWS | 24 | true | blank | srv-ca-012 | Toronto-Maple | Canada | Ontario | dc-ca-aws-01 | 2022-10-18T13:33:00Z | 132.4 | 38.5 | 66.3 | 33.5 | mixed |
| srv-fr-020-paris | Azure | 12 | true | blank | srv-fr-020 | Paris-Arcade | France | Île-de-France | dc-fr-azure-02 | 2023-05-25T09:45:00Z | 52.5 | 17.6 | 71.5 | 28.9 | mixed |
| dc-sg-002 | Other | 8 | true | Fully solar powered | srv-sg-002 | Singapore-Eco | Singapore | Jurong | dc-sg-other-02 | 2023-02-02T16:10:00Z | 42.3 | 0 | 20.9 | 100 | solar |
| srv-kr-004-seoul | AWS | 24 | true | blank | srv-kr-004 | Seoul-Speed | South Korea | Seoul | dc-kr-aws-01 | 2024-01-04T07:30:00Z | 80.1 | 21.4 | 79.2 | 32.5 | mixed |
What the 120 rows show
from the 120-row sampleOn-premise platform stands out: mean measurement_
- 73%esg_
compliance_ flag = true - 24.0median measurement_
period_ hours - 5energy sources
- 23location countries
- 90.2median energy_
consumed_ kwh - 28.5median carbon_
emissions_ kgco2e
Median 24.0, from 0.01 to 168.0.
- string 9
- float 5
- datetime 1
- boolean 1
Columns
16 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
record_id | string | Unique identifier for each carbon tracking recordunique | srv-mex-025-delta |
server_id | string | Unique identifier for the gaming server | srv-us-001 |
server_name | string | Human-readable name of the gaming serveroptional | US-East-Prod-Gaming |
platform | string | Platform or cloud provider hosting the server (e.g., AWS, Azure, GCP, On-premise)AWS · Azure · GCP · On-premise · Other | AWS |
location_country | string | Country where the server is physically located | USA |
location_region | string | Region or state/province of the server locationoptional | Virginia |
data_center_id | string | Identifier for the data center hosting the serveroptional | dc-us-aws-01 |
energy_source | string | Primary energy source used (e.g., grid, solar, wind, mixed)6 values · optional | grid |
notes | string | Additional notes or comments about the measurement or server12 noteses · optional | Standard weekday load |
| Numbers 5 columns | |||
energy_consumed_kwh | float | Total energy consumed by the server during the measurement period, in kilowatt-hours0 or more | 156.3 |
carbon_emissions_kgco2e | float | Total carbon emissions produced by the server during the measurement period, in kilograms CO2 equivalent0 or more | 45.8 |
measurement_period_hours | float | Length of the measurement period in hours0.01 or more | 24 |
server_utilization_percent | float | Average server utilization (CPU/Memory) as a percentage during the measurement period0 to 100 · optional | 78.2 |
renewable_energy_percent | float | Percentage of energy from renewable sources during the measurement period0 to 100 · optional | 22.1 |
| Dates and times 1 column | |||
timestamp | datetime | Date and time when the carbon tracking measurement was taken | 2022-03-14T10:23:00Z |
| True or false 1 column | |||
esg_compliance_flag | boolean | Indicates if the server operation meets ESG (Environmental, Social, Governance) compliance standards for the periodoptional | true |
Use it for
A gaming dashboard
The esg_
compliance_ flag rate, measurement_ period_ hours by platform and a breakdown of notes. Excel, Power BI or Tableau. Why do the 16 On-premise rows have a mean measurement_
period_ hours of 70.5? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Records1201f3acb28-cd27-4e29-9a03-020ec1a724AWSsrv-mex-025-delta24Azureb3d2e1c9-54f5-41d6-b2c9-e9fc7d7a48GCP
A software demo
Believable records with server_
id, server_ name and platform to fill a screen in front of a buyer.
This dataset120 rows16 columns
Yours1,000 rows16 columnslocation_country: UK only
blueprint · gaming-server-carbon-tracking
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 16 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
- Log server energy consumption per hour
- Include carbon emission estimates based on energy source
- Flag high-consumption events for further review
- Correlate usage spikes to user activity times
- Separate data by server location and hardware type
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
- gaming-server-carbon-tracking