Industrial Ecology Freiburg

Research group at the Faculty of Environment and Natural Resources

Welcome to the Industrial Ecology Data Commons prototype!

This database contains more than 100 IE-related datasets from the literature, including stocks, flows, process descriptions, IO tables, material composition of products, and many more.
All data are structured according to a newly developed general data model for socioeconomic metabolism.
Our mission is to show how data storage and exchange in sustainability science could look like in the future and to develop some of the building blocks of the required infrastructure.

The database is open and documented in a public GitHub repository. There is a short video tutorial on how to use the download interface, a video lecture on the data model, and a glossary and FAQ list. A journal publication on the data model is in preparation. A blog entry on the vision and background behind the project is also available.

We are interested in your feedback, bug reports, and critisicm, and also offer direct reading access to the database via SQL. Please send us an email to in4mation*at*!
The search interface below allows you to browse the catalogue of datasets and to download the available data as spreadsheet.

The following links point to the different lookup tables:
    List of all data types
    aspect and dimension tables
    categories, types, and layers tables
    units table
    stats_array table
    provencance, sources, and licenses tables
    classifications definition table and display of selected classification

Data search and download:

+ Searching for data? Use keywords!
+ Searching for a specific data type? Use the data type key, such as '1_F' or '3_MC', cf. the list of all data types!
+ Searching for data from a specific publication? Use main author name or DOI! If data source does not have a DOI, use keywords from report title and publishing institution!
+ Searching for a specific dataset from the catalogue? Use the dataset name!

Search Keywords:          Search Tags:    

Catalogue of Data Sets

Description of the selected dataset:

Description of the corresponding datagroup (if applicable):

System definition of corresponding datagroup (if applicable):

Download dataset in selected format