Gaming Server Sustainability Metrics Log
This dataset provides detailed, time-stamped logs of energy consumption, renewable energy usage, carbon emissions, and offset activities for gaming servers across different data centers. Designed for sustainability leads and gaming companies, it supports real-time environmental impact monitoring, resource optimization, and compliance with ESG reporting standards.
Sample rows
preview · 8 of 65 rows · all 16 columns| log_idstring | esg_compliance_statusstring | renewable_energy_percentagefloat | carbon_offset_providerstring | server_idstring | server_namestring | data_center_idstring | data_center_locationstring | timestampdatetime | energy_consumed_kwhfloat | renewable_energy_used_kwhfloat | carbon_emissions_kgco2efloat | carbon_offset_purchased_kgco2efloat | server_utilization_percentagefloat | reporting_period_minutesinteger | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LOG-00001 | compliant | 44.89 | GreenFuture | SRV-101 | NA-Alpha-1 | DC-NA1 | New York, USA | 2024-06-01T09:15:00Z | 128.6 | 57.7 | 56.8 | 40 | 76.3 | 60 | Peak gaming hours |
| LOG-00002 | pending | 61.44 | EcoOffset | SRV-102 | EU-Gamma-3 | DC-EU1 | Frankfurt, Germany | 2024-06-01T10:30:00Z | 142.1 | 87.3 | 39.1 | 20 | 69.8 | 90 | blank |
| LOG-00003 | compliant | 22.25 | ZeroCO2 | SRV-103 | AS-Beta-2 | DC-AS1 | Singapore | 2024-06-01T11:00:00Z | 90.3 | 20.1 | 48.6 | 48.6 | 41.2 | 60 | High server temperature noted |
| LOG-00004 | compliant | 97.04 | blank | SRV-104 | EU-Delta-1 | DC-EU2 | Paris, France | 2024-06-01T12:10:00Z | 104.8 | 101.7 | 6.1 | 0 | 83.6 | 30 | blank |
| LOG-00005 | pending | 28.19 | EcoOffset | SRV-105 | SA-Prime-4 | DC-SA1 | Sao Paulo, Brazil | 2024-06-01T13:20:00Z | 77.7 | 21.9 | 38.6 | 12.2 | 37.5 | 90 | blank |
| LOG-00006 | compliant | 90.84 | GreenFuture | SRV-106 | EU-Omega-2 | DC-EU2 | Paris, France | 2024-06-01T14:40:00Z | 156.4 | 142 | 19.2 | 15 | 91.7 | 120 | blank |
| LOG-00007 | non-compliant | 31.67 | blank | SRV-107 | NA-Beta-2 | DC-NA2 | Dallas, USA | 2024-06-01T08:50:00Z | 111.8 | 35.4 | 62.2 | 0 | 54.1 | 45 | No offsets purchased |
| LOG-00008 | pending | 26.42 | ZeroCO2 | SRV-108 | AS-Gamma-1 | DC-AS2 | Tokyo, Japan | 2024-06-01T07:25:00Z | 57.9 | 15.3 | 30.8 | 5.5 | 39.6 | 60 | Off-peak hours |
| LOG-00009 | compliant | 76.58 | GreenFuture | SRV-109 | EU-Beta-5 | DC-EU1 | Frankfurt, Germany | 2024-06-01T23:55:00Z | 130.2 | 99.7 | 20.1 | 20.1 | 92.4 | 120 | blank |
| LOG-00010 | pending | 7.22 | EcoOffset | SRV-110 | NA-Delta-4 | DC-NA2 | Dallas, USA | 2024-06-01T19:30:00Z | 70.6 | 5.1 | 34.2 | 8 | 23.8 | 30 | Server under maintenance |
| LOG-00011 | compliant | 37.33 | GreenFuture | SRV-101 | NA-Alpha-1 | DC-NA1 | New York, USA | 2024-06-02T08:10:00Z | 118.2 | 44.1 | 51.5 | 35 | 68.7 | 60 | blank |
| LOG-00012 | compliant | 75.66 | blank | SRV-111 | EU-Gamma-2 | DC-EU1 | Frankfurt, Germany | 2024-06-02T12:05:00Z | 163.7 | 123.9 | 23.3 | 0 | 98.5 | 120 | blank |
| LOG-00013 | pending | 42.36 | ZeroCO2 | SRV-112 | AS-Prime-3 | DC-AS1 | Singapore | 2024-06-02T14:00:00Z | 82.9 | 35.1 | 42.7 | 10 | 46.2 | 45 | blank |
| LOG-00014 | not-applicable | 17.69 | blank | SRV-113 | SA-Beta-1 | DC-SA1 | Sao Paulo, Brazil | 2024-06-02T16:00:00Z | 62.2 | 11 | 33.8 | 0 | 28.8 | 30 | Short period, low load |
| LOG-00015 | compliant | 98.44 | GreenFuture | SRV-114 | EU-Omega-4 | DC-EU2 | Paris, France | 2024-06-02T18:45:00Z | 121.5 | 119.6 | 2.3 | 2 | 87.1 | 90 | blank |
| LOG-00016 | pending | 40.84 | blank | SRV-115 | NA-Prime-2 | DC-NA2 | Dallas, USA | 2024-06-02T20:10:00Z | 85.7 | 35 | 31.2 | 0 | 58.3 | 45 | Moderate traffic |
| LOG-00017 | compliant | 76.34 | ZeroCO2 | SRV-116 | AS-Prime-1 | DC-AS2 | Tokyo, Japan | 2024-06-03T09:30:00Z | 70.9 | 54.1 | 11.9 | 10 | 78 | 60 | blank |
| LOG-00018 | compliant | 60.3 | GreenFuture | SRV-117 | NA-Beta-3 | DC-NA1 | New York, USA | 2024-06-03T10:45:00Z | 133 | 80.2 | 41.9 | 41.9 | 85.2 | 120 | blank |
| LOG-00019 | compliant | 81.72 | GreenFuture | SRV-118 | EU-Delta-5 | DC-EU2 | Paris, France | 2024-06-03T12:20:00Z | 110.9 | 90.6 | 17.8 | 15 | 79.9 | 90 | blank |
| LOG-00020 | pending | 20.65 | blank | SRV-119 | SA-Prime-2 | DC-SA1 | Sao Paulo, Brazil | 2024-06-03T13:50:00Z | 65.4 | 13.5 | 29.2 | 0 | 33.2 | 30 | blank |
What the 65 rows show
from the 65-row sampleCompliant (esg compliance status) stands out: mean renewable_
- 52.9median renewable_
energy_ percentage - 12data center locations
- 15data centers
- 100.9median energy_
consumed_ kwh - 57.4median renewable_
energy_ used_ kwh - 29.6median carbon_
emissions_ kgco2e
Median 52.9, from 7.2 to 100.0.
- string 8
- integer 1
- float 6
- datetime 1
Columns
16 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 8 columns | |||
log_id | string | Unique identifier for each sustainability metrics log entry.unique | LOG-00001 |
server_id | string | Unique identifier for the gaming server being monitored. | SRV-101 |
server_name | string | Human-readable name of the gaming server.optional | NA-Alpha-1 |
data_center_id | string | Identifier for the data center where the server is located. | DC-NA1 |
data_center_location | string | Geographical location (city, region, or country) of the data center.12 locations · optional | New York, USA |
carbon_offset_provider | string | Name of the provider or program from which carbon offsets were purchased.8 providers · optional | GreenFuture |
esg_compliance_status | string | Compliance status with relevant ESG (Environmental, Social, Governance) reporting standards.compliant · non-compliant · pending · not-applicable · optional | compliant |
notes | string | Additional notes or comments regarding the log entry.optional | Peak gaming hours |
| Numbers 7 columns | |||
energy_consumed_kwh | float | Total energy consumed by the server during the reporting period, measured in kilowatt-hours (kWh).0 or more | 128.6 |
renewable_energy_used_kwh | float | Amount of energy from renewable sources used by the server, measured in kilowatt-hours (kWh).0 or more | 57.7 |
renewable_energy_percentage | float | Percentage of total energy consumed that came from renewable sources (0-100).0 to 100 | 44.89 |
carbon_emissions_kgco2e | float | Estimated carbon emissions generated by the server during the reporting period, measured in kilograms of CO2 equivalent.0 or more | 56.8 |
carbon_offset_purchased_kgco2e | float | Amount of carbon offsets purchased to compensate for emissions, measured in kilograms of CO2 equivalent.0 or more · optional | 40 |
server_utilization_percentage | float | Average server utilization during the reporting period, as a percentage (0-100).0 to 100 · optional | 76.3 |
reporting_period_minutes | integer | Duration of the reporting period in minutes.1 or more | 60 |
| Dates and times 1 column | |||
timestamp | datetime | Date and time when the metrics were logged. | 2024-06-01T09:15:00Z |
Use it for
A gaming dashboard
Renewable_
energy_ percentage by esg_ compliance_ status and a breakdown of carbon_ offset_ provider. Excel, Power BI or Tableau. Why do the 35 compliant rows have a mean renewable_
energy_ percentage of 74.0? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs65LOG-0000144.89compliantLOG-0000261.44pendingLOG-0000322.25compliant
A software demo
Believable logs with server_
id, server_ name and data_ center_ id to fill a screen in front of a buyer.
This dataset65 rows16 columns
Yours1,000 rows16 columnsdata_center_location: UK only
blueprint · gaming-server-sustainability-metrics-log
Behind this dataset
Same schema. As many rows as you need.
These 65 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
- Each server event includes timestamp, energy usage (kWh), and carbon emission estimate (kg CO2e)
- Log includes type of energy source (e.g., renewable, grid, backup generator)
- Records weekly carbon offset credits applied by operator
- All readings validated against baseline server specs; anomalies flagged
- Server location and workload level required for each entry
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-sustainability-metrics-log