environmental-footprint-data

💾 Boavizta.org Data repository

https://github.com/boavizta/environmental-footprint-data

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
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    Committers with academic emails
    1 of 14 committers (7.1%) from academic institutions
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary

Keywords

carbon-emissions carbon-footprint digital-sustainability environment footprint ghg-emissions sustainability
Last synced: 6 months ago · JSON representation

Repository

💾 Boavizta.org Data repository

Basic Info
  • Host: GitHub
  • Owner: Boavizta
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 16.7 MB
Statistics
  • Stars: 122
  • Watchers: 13
  • Forks: 35
  • Open Issues: 22
  • Releases: 0
Topics
carbon-emissions carbon-footprint digital-sustainability environment footprint ghg-emissions sustainability
Created about 5 years ago · Last pushed almost 3 years ago
Metadata Files
Readme

README.md

Boavizta Project - Environmental Footprint Data

This data repository is maintained by Boavizta and is complementary to Boavizta's environmental footprint evaluation methology. It aims to reference as much data as possible to help organizations to evaluate the environmental footprint of their information systems, applications and digital services.

Boavizta database is quite exclusively derived from PCF (Product Carbon Footprint) sheets provided by the manufacturers. Methodologies used by manufactureres are not transparent and have very large margins of error and the purpose of making these data available is mainly to give ideas of orders of magnitude and to compare different models from the same manufacturer.

Therefore WE RECOMMAND NOT USING THESE DATA TO MAKE ACCURATE IMPACTS EVALUATIONS or to compare the impacts of devices from different manufacturers.

In addition, most manufacturers rely on the PAIA evaluation method developed by MIT. This method is based on data from non-public studies and Boavizta was therefore unable to evaluate its relevance.

To browse data, you can use https://dataviz.boavizta.org.

License

This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/This data can be freely used for any purpose including without using Boavizta's methodology.

Data sets

At this time, we provide two CSV files grouping together data collected from manufacturers (mainly Product Carbon Footprint reports) publicly avaiblable :

  • boavizta-data-fr.csv: French version (; used as a delimiter, comma as a decimal separator)
  • boavizta-data-us.csv: English version (, used as a delimiter, dot as a decimal separator)

We encourage all manufacturers to provide us with similar data or to correct potential errors in these files.

Boavizta working group works actively to enrich these files with new data : * from manufacturers * resulting from its analyzes and intended to provide ratios or average values that would simplify the evaluation

Please refer to sources.md for a complete list of sources.

Contribute

People are encouraged to contribute to these files.

You can easily contribute by : * forking this repo and submitting PRs * sending us an email to data@boavizta.org * submitting data through dedicated form on Boavizta's website

If any manufacturers wish to share data with us, we will be happy to discuss with them how we can efficiently synchronize this data.

Running the code

Download Chromedriver for your version of Chrome: https://chromedriver.chromium.org/downloads and move it to a folder that belongs to your path. For Mac you can also run sh brew install chromedriver and restart Chrome.

Then create a python3.9 virtual environment, run sh pip install -r tools/requirements.txt to install the required packages and follow the instructions on the spiders README.md to run a spider and parse the pdfs of the associated brand.

When developing a new parser you can also follow the instructions on the parsers README.md.

Data format

  • manufacturer: Manufacturer name, e.g. "Dell" or "HP"
  • name: Product name
  • category:
    • Workplace: product commonly used in a workplace
    • Datacenter: product commonly used in a data center (e.g. server, network switch, etc.)
  • gwp_total: GHG emissions (estimated as CO2 equivalent, the unit is kgCO2eq) through the total lifecycle of the product (Manufacturing, Transportation, Use phase and Recycling)
  • gwp_use_ratio: part of the GHG emissions coming from the use phase (the hypothesis for this use phase are detailed in the other columns, especially the lifetime and the use_location)
  • yearly_tec: Yearly estimated energy demand in kWh
  • lifetime: Expected lifetime (in years)
  • use_location: The region of the world in which the device usage footprint has been estimated.
    • US: United States of America
    • EU: Europe
    • DE: Germany
    • CN: China
    • WW: Worldwide
  • report_date: the date at which the Product Carbon Footprint report of the device was published
  • sources: the original URLs from which the data for this row was sourced
  • gwp_error_ratio: the datasheets commonly come with a diagram that shows the error margin for the footprint
  • gwp_manufacturing_ratio part of the GHG emissions coming from the manufacturing phase
  • weight: product weight in kg
  • assembly_location: The region of the world in which the device is assembled
    • US: United States of America
    • EU: Europe
    • CN: China
    • Asia: Asia
  • screen_size: in inches
  • server_type: the type of server
  • hard_drive: the hard drive of the device if any
  • memory: RAM in GB
  • number_cpu: number of CPUs
  • height: the height of the device in a datacenter rack, in U
  • added_date: the date at which this row was added
  • add_method: how was the data for this row collected

About Boavizta.org

Boavizta.org is a working group:

  • Working to improve and generalize environmental footprint evaluation in organizations
  • Federating and connecting stakeholders of the "environmental footprint evaluation" ecosystem
  • Helping members to improve their skills and to carry out their own projects
  • Leveraging group members initiatives

Owner

  • Name: Boavizta
  • Login: Boavizta
  • Kind: organization
  • Email: contact@boavizta.org

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 3
  • Pull request event: 1
  • Fork event: 7
Last Year
  • Issues event: 1
  • Watch event: 3
  • Issue comment event: 3
  • Pull request event: 1
  • Fork event: 7

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 288
  • Total Committers: 14
  • Avg Commits per committer: 20.571
  • Development Distribution Score (DDS): 0.639
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Airloren r****n@c****o 104
AirLoren 7****n 87
Gael Guennebaud g****d@i****r 39
Pascal Corpet p****t 28
sbaudoin s****n@g****m 10
Pablo Seminario p****o@s****o 9
Vincent Villet v****t@g****m 2
bpetit b****t@h****g 2
RedaPengam 7****m 2
Romain LORENZINI r****n@M****l 1
Boavizta-GH-API 9****I 1
Elena 7****b 1
Tristan Nitot t****n@n****m 1
Wynand Huizinga w****a@e****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 32
  • Total pull requests: 62
  • Average time to close issues: 20 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 13
  • Total pull request authors: 11
  • Average comments per issue: 1.16
  • Average comments per pull request: 0.31
  • Merged pull requests: 32
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 2.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • AirLoren (13)
  • ggael (6)
  • alexandre-theve (2)
  • sashavor (2)
  • adriens (1)
  • mfoukette (1)
  • Romain-Partouche (1)
  • trahay (1)
  • pierreozoux (1)
  • jasonkaisersmith (1)
  • demeringo (1)
  • Slasher007 (1)
  • JacobValdemar (1)
Pull Request Authors
  • Boavizta-GH-API (20)
  • pcorpet (17)
  • RedaPengam (7)
  • AirLoren (7)
  • pabluk (3)
  • sbaudoin (2)
  • awesome-Leni (2)
  • bpetit (2)
  • Elenaaab (1)
  • wynandhuizinga (1)
  • nitot (1)
Top Labels
Issue Labels
hackathon (8) manual (3) documentation (1)
Pull Request Labels

Dependencies

tools/requirements.txt pypi
  • PyGithub ==1.55
  • numpy ==1.21.2
  • opencv-python-headless ==4.5.3.56
  • pdfminer.six ==20211012
  • pymupdf ==1.18.19
  • pytesseract ==0.3.8
  • scrapy ==2.5.1
tools/tests/requirements.txt pypi
  • mypy ==0.910 test
.github/workflows/main.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • dorny/paths-filter v2 composite