Remote Work Carbon Footprint Logs
This dataset provides detailed logs of carbon emissions generated by remote work activities within SMEs and nonprofits, capturing device, network, and cloud service energy usage, as well as location and activity specifics. It enables organizations to measure and optimize their digital operations' environmental impact, support ESG reporting, and inform sustainable home office policies.
Sample rows
preview · 8 of 42 rows · all 21 columns| log_idstring | network_typestring | device_energy_consumption_kwhfloat | esg_reporting_flagboolean | cloud_service_providerstring | organization_idstring | organization_namestring | employee_idstring | employee_emailstring | activity_datedate | activity_typestring | activity_duration_minutesinteger | device_typestring | network_energy_consumption_kwhfloat | cloud_service_energy_consumption_kwhfloat | location_citystring | location_statestring | location_countrystring | carbon_emissions_kgco2efloat | emission_calculation_methodstring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RWCF-100001 | home_wifi | 0.09 | true | Zoom | ORG-001 | GreenTech Solutions | EMP-001 | j.smith@ | 2024-03-01 | video_call | 55 | laptop | 0.03 | 0.12 | Seattle | WA | USA | 0.17 | GHG Protocol | Weekly team check-in |
| RWCF-100002 | ethernet | 0.06 | false | Google Drive | ORG-002 | EcoChange Foundation | EMP-002 | laura.chan@ | 2024-03-01 | document_editing | 37 | desktop | 0.01 | 0.03 | Toronto | ON | Canada | 0.08 | DEFRA | Editing grant proposal |
| RWCF-100003 | mobile_data | 0.02 | true | Dropbox | ORG-003 | RenewFuture Nonprofit | EMP-003 | m.jones@ | 2024-02-29 | file_transfer | 11 | tablet | 0.04 | 0.04 | London | blank | UK | 0.07 | Custom | Transferred annual report |
| RWCF-100004 | home_wifi | 0.1 | false | AWS | ORG-001 | GreenTech Solutions | EMP-004 | p.nguyen@ | 2024-03-02 | cloud_computing | 62 | laptop | 0.02 | 0.15 | Portland | OR | USA | 0.24 | DEFRA | Data analytics run |
| RWCF-100005 | ethernet | 0.08 | true | Teams | ORG-002 | EcoChange Foundation | EMP-005 | harold.lee@ | 2024-03-03 | video_call | 34 | desktop | 0.02 | 0.1 | Vancouver | BC | Canada | 0.15 | GHG Protocol | Client onboarding |
| RWCF-100006 | mobile_data | 0.01 | false | blank | ORG-004 | SolarAid Initiative | EMP-006 | s.kumar@ | 2024-02-28 | 5 | smartphone | 0.01 | blank | Delhi | DL | India | 0.02 | Custom | Sent monthly update | |
| RWCF-100007 | home_wifi | 0.07 | true | Google Meet | ORG-003 | RenewFuture Nonprofit | EMP-007 | d.martins@ | 2024-03-04 | video_call | 28 | laptop | 0.02 | 0.07 | Lisbon | blank | Portugal | 0.12 | GHG Protocol | Project brainstorming |
| RWCF-100008 | mobile_data | 0.02 | false | Google Drive | ORG-005 | CleanWater Network | EMP-008 | r.hernandez@ | 2024-03-05 | file_transfer | 14 | tablet | 0.03 | 0.05 | Mexico City | CDMX | Mexico | 0.07 | DEFRA | Shared water quality data |
| RWCF-100009 | ethernet | 0.07 | true | Azure | ORG-001 | GreenTech Solutions | EMP-009 | e.wright@ | 2024-03-02 | cloud_computing | 41 | desktop | 0.01 | 0.11 | San Francisco | CA | USA | 0.19 | Custom | Server maintenance |
| RWCF-100010 | ethernet | 0.03 | false | blank | ORG-006 | Food4All | EMP-010 | t.brown@ | 2024-03-01 | 7 | desktop | 0.01 | blank | Chicago | IL | USA | 0.04 | GHG Protocol | Sent donor report | |
| RWCF-100011 | home_wifi | 0.04 | true | Microsoft 365 | ORG-005 | CleanWater Network | EMP-011 | i.patel@ | 2024-03-05 | document_editing | 21 | laptop | 0.01 | 0.03 | Mumbai | MH | India | 0.07 | DEFRA | Quarterly report edits |
| RWCF-100012 | home_wifi | 0.09 | true | Teams | ORG-002 | EcoChange Foundation | EMP-012 | g.murphy@ | 2024-03-03 | video_call | 60 | laptop | 0.03 | 0.11 | Dublin | blank | Ireland | 0.18 | GHG Protocol | Strategic review |
| RWCF-100013 | home_wifi | 0.01 | false | blank | ORG-004 | SolarAid Initiative | EMP-013 | v.garcia@ | 2024-02-28 | 8 | tablet | 0.01 | blank | Madrid | blank | Spain | 0.02 | DEFRA | Newsletter update | |
| RWCF-100014 | ethernet | 0.06 | true | AWS | ORG-006 | Food4All | EMP-014 | f.ross@ | 2024-03-04 | cloud_computing | 33 | desktop | 0.01 | 0.09 | Glasgow | SCT | UK | 0.16 | Custom | Food distribution analytics |
| RWCF-100015 | home_wifi | 0.08 | true | Zoom | ORG-001 | GreenTech Solutions | EMP-015 | a.baker@ | 2024-03-01 | video_call | 47 | laptop | 0.03 | 0.1 | Denver | CO | USA | 0.15 | DEFRA | Team training |
| RWCF-100016 | ethernet | 0.05 | false | Google Docs | ORG-003 | RenewFuture Nonprofit | EMP-016 | l.wood@ | 2024-03-05 | document_editing | 26 | desktop | 0.01 | 0.02 | Manchester | ENG | UK | 0.08 | GHG Protocol | Annual summary edits |
| RWCF-100017 | mobile_data | 0.03 | true | Dropbox | ORG-005 | CleanWater Network | EMP-017 | m.kim@ | 2024-03-02 | file_transfer | 17 | tablet | 0.04 | 0.05 | Seoul | blank | South Korea | 0.09 | Custom | Shared water testing data |
| RWCF-100018 | ethernet | 0.07 | false | Google Meet | ORG-002 | EcoChange Foundation | EMP-018 | b.davis@ | 2024-02-29 | video_call | 42 | desktop | 0.02 | 0.09 | Montreal | QC | Canada | 0.15 | DEFRA | Regional update |
| RWCF-100019 | home_wifi | 0.05 | true | Microsoft 365 | ORG-001 | GreenTech Solutions | EMP-019 | c.evans@ | 2024-03-04 | document_editing | 30 | laptop | 0.01 | 0.02 | Austin | TX | USA | 0.08 | GHG Protocol | Updated ESG policy doc |
| RWCF-100020 | home_wifi | 0.08 | false | Azure | ORG-004 | SolarAid Initiative | EMP-020 | n.ali@ | 2024-02-28 | cloud_computing | 49 | laptop | 0.02 | 0.1 | Nairobi | blank | Kenya | 0.2 | DEFRA | Solar array simulation |
What the 42 rows show
from the 42-row sampleMobile_
- 52%esg_
reporting_ flag = true - 0.05median device_
energy_ consumption_ kwh - 3emission calculation methods
- 4device types
- 5activity types
- 6organizations
Median 0.05, from 0.01 to 0.10.
- string 14
- integer 1
- float 4
- date 1
- boolean 1
Columns
21 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 14 columns | |||
log_id | string | Unique identifier for each carbon footprint log entryunique | RWCF-100001 |
organization_id | string | Unique identifier for the SME or nonprofit organization6 organizations | ORG-001 |
organization_name | string | Name of the SME or nonprofit organization6 names | GreenTech Solutions |
employee_id | string | Unique identifier for the employee whose remote activity is logged | EMP-001 |
employee_email | string | Email address of the employee | j.smith@ |
activity_type | string | Type of remote work activity (e.g., video call, file transfer, cloud computing)6 values | video_call |
device_type | string | Type of device used for the activity (e.g., laptop, desktop, tablet, smartphone)laptop · desktop · tablet · smartphone · other | laptop |
network_type | string | Type of network used (e.g., home_wifi, mobile_data, ethernet)home_wifi · mobile_data · ethernet · other | home_wifi |
cloud_service_provider | string | Name of the cloud service provider used (if applicable)9 providers · optional | Zoom |
location_city | string | City where the employee performed the remote activity | Seattle |
location_state | string | State or region where the employee performed the remote activityoptional | WA |
location_country | string | Country where the employee performed the remote activity | USA |
emission_calculation_method | string | Method or standard used to calculate carbon emissions (e.g., GHG Protocol, DEFRA)GHG Protocol · DEFRA · Custom · Other | GHG Protocol |
notes | string | Additional notes or comments about the activity or calculationoptional | Weekly team check-in |
| Numbers 5 columns | |||
activity_duration_minutes | integer | Duration of the activity in minutes1 or more | 55 |
device_energy_consumption_kwh | float | Estimated energy consumption of the device during the activity (in kWh)0 or more | 0.09 |
network_energy_consumption_kwh | float | Estimated energy consumption of the network during the activity (in kWh)0 or more | 0.03 |
cloud_service_energy_consumption_kwh | float | Estimated energy consumption of cloud services used during the activity (in kWh)0 or more · optional | 0.12 |
carbon_emissions_kgco2e | float | Total estimated carbon emissions generated by the activity (in kg CO2 equivalent)0 or more | 0.17 |
| Dates and times 1 column | |||
activity_date | date | Date when the remote work activity occurred | 2024-03-01 |
| True or false 1 column | |||
esg_reporting_flag | boolean | Indicates if this log is included in official ESG reporting | true |
Use it for
An energy dashboard
The esg_
reporting_ flag rate, device_ energy_ consumption_ kwh by network_ type and a breakdown of cloud_ service_ provider. Excel, Power BI or Tableau. Why do the 11 mobile_
data rows have a mean device_ energy_ consumption_ kwh of 0.02? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs42RWCF-1000010.09home_wifiRWCF-1000020.06ethernetRWCF-1000030.02mobile_d…
A software demo
Believable logs with organization_
id, organization_ name and employee_ id to fill a screen in front of a buyer.
blueprint · remote-work-carbon-footprint-logs
Behind this dataset
Same schema. As many rows as you need.
These 42 rows came out of a blueprint — 21 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.
- Each row represents a unique employee's monthly activity
- Home energy use is estimated based on device hours
- Transportation emissions only logged for required in-person meetings
- Cloud computing usage factored via type and duration
- Appliance and peripheral usage captured where possible
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- remote-work-carbon-footprint-logs