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Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers
To inform the modelling of organic waste treatments yielding organic amendments and fertilisers in France, published as “Screening LCA of French organic amendments and fertilisers” [1], we compiled data pertaining to the chemical characteristics of both raw and treated organic residues, as well as i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096668/ https://www.ncbi.nlm.nih.gov/pubmed/32226803 http://dx.doi.org/10.1016/j.dib.2019.105000 |
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author | Avadí, Angel Aissani, Lynda Pradel, Marilys Wilfart, Aurélie |
author_facet | Avadí, Angel Aissani, Lynda Pradel, Marilys Wilfart, Aurélie |
author_sort | Avadí, Angel |
collection | PubMed |
description | To inform the modelling of organic waste treatments yielding organic amendments and fertilisers in France, published as “Screening LCA of French organic amendments and fertilisers” [1], we compiled data pertaining to the chemical characteristics of both raw and treated organic residues, as well as inventory data on the most common organic waste treatments. The majority of these life cycle inventory data was obtained from reports and other literature, but primary data was also compiled, notably for commercial organic fertiliser production. The data presented here can be used by future life cycle assessment studies on organic waste treatments, as well as to inform agricultural modelling. |
format | Online Article Text |
id | pubmed-7096668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70966682020-03-27 Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers Avadí, Angel Aissani, Lynda Pradel, Marilys Wilfart, Aurélie Data Brief Environmental Science To inform the modelling of organic waste treatments yielding organic amendments and fertilisers in France, published as “Screening LCA of French organic amendments and fertilisers” [1], we compiled data pertaining to the chemical characteristics of both raw and treated organic residues, as well as inventory data on the most common organic waste treatments. The majority of these life cycle inventory data was obtained from reports and other literature, but primary data was also compiled, notably for commercial organic fertiliser production. The data presented here can be used by future life cycle assessment studies on organic waste treatments, as well as to inform agricultural modelling. Elsevier 2019-12-16 /pmc/articles/PMC7096668/ /pubmed/32226803 http://dx.doi.org/10.1016/j.dib.2019.105000 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Environmental Science Avadí, Angel Aissani, Lynda Pradel, Marilys Wilfart, Aurélie Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title | Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title_full | Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title_fullStr | Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title_full_unstemmed | Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title_short | Life cycle inventory data on French organic waste treatments yielding organic amendments and fertilisers |
title_sort | life cycle inventory data on french organic waste treatments yielding organic amendments and fertilisers |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096668/ https://www.ncbi.nlm.nih.gov/pubmed/32226803 http://dx.doi.org/10.1016/j.dib.2019.105000 |
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