Skip to main content

Get real time odour observations from OdourCollect's Citizen Observatory

Project description

PyOdourCollect

Python3 bindings and command line tool to access OdourCollect's Citizen Observatory data in real time.

This python module provides a basic, read only interface with OdourCollect.eu's odour observation data API, as well as a command line tool to download data from OdourCollect directly info a CSV or a XLSX file. It also provides some data enrichment features not available in OdourCollect.eu webapp that are very useful for data analysis purposes.

Please, check out USAGE.md to use the module and the CLI tool.

About OdourCollect.eu

OdourCollect.eu is one of the most acknowledged Citizen Observatories (CO's) in Citizen Science (CS) landscape. OdourCollect's main goal is providing an open, free platform for the citizens to report odour observations, making a worldwide collaborative odour map.

Albeit it allows reporting nice odours as well as bad ones, it has become popular for its potential to provide hard evidence of bad odour episodes happening in neighborhoods that are affected by odour emiting facilities like waste water processing, livestock, oil etc.

OdourCollect was an idea of Rosa Arias, CEO and founder of Science for Change, inspired by a standardized European methodology to evaluate odour episodes through citizens' observations, CEN 16841 which in turn is based on the German standard VDI 3940:2006. The last public version of OdourCollect's open source code can be obtained in this repository.

OdourCollect has validated its bottom-up methodology in 10 pilot projects in 10 countries (Spain, Portugal, Greece, Bulgaria, Chile, Italy, UK, Germany, Austria and Uganda) and has been supported by Spanish and European grants since it was first launched in 2019:

  • The Research and Innovation program of the European Union Horizon 2020 under agreement No. 789315, in the context of the D-NOSES project.
  • FECYT, the Spanish Foundation for Science and Technology - Ministry of Science and Innovation.

About odour pollution

  • Frequent exposure to annoying odours can cause headache, stress, anxiety, lack of concentration, insomnia or even increase respiratory problems.
  • Even though ambient odours are the second cause of environmental complaints after noise worldwide, lots of countries worldwide lack a legal regulatory framework to protect citizens' rights and health. You can learn more about existing regulations in odour pollution in the D-NOSES Policy brief.
  • If your community is affected by odour pollution problems, you can contact Science for Change for an evaluation of your case.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyodourcollect-1.0.0.tar.gz (22.0 kB view details)

Uploaded Source

Built Distribution

pyodourcollect-1.0.0-py3-none-any.whl (31.0 kB view details)

Uploaded Python 3

File details

Details for the file pyodourcollect-1.0.0.tar.gz.

File metadata

  • Download URL: pyodourcollect-1.0.0.tar.gz
  • Upload date:
  • Size: 22.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.6

File hashes

Hashes for pyodourcollect-1.0.0.tar.gz
Algorithm Hash digest
SHA256 eb01989bc95cf0edca2bee1bac378e872fa5d6af96036ac33fd86eae0d0bdae5
MD5 5fa65c9e172e53857d5fec65f0146fc3
BLAKE2b-256 603a99433628282beb348cd1a0c0970bf75d251a7691f78c538139688c520bde

See more details on using hashes here.

File details

Details for the file pyodourcollect-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pyodourcollect-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a242f8f228e770dd503efac3552a094a9903d43fe86f2cf4023ce09a2f2c994b
MD5 50788bf69ca901be1eb4605e6b842233
BLAKE2b-256 9cf0a81de5967d7d886b45a6fbf3c10a3bd0ce466fd7c0547097e853acb878d8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page