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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: ZENODO
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GreenDB: A Product-by-Product Sustainability Database

Authors: Jäger, Sebastian; Bießmann, Felix;

GreenDB: A Product-by-Product Sustainability Database

Abstract

The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., name, description, color, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Source Code: https://github.com/calgo-lab/green-db Further Notes For usability, we export two datatypes: CSV Parquet (using pyarrow python package) Be careful with the columns' data types when using the CSV files! Use for example: from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()

Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B

Related Organizations
Keywords

sustainable products, product dataset

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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