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SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015
This work presents the SEEG platform, a 46-year long dataset of greenhouse gas emissions (GHG) in Brazil (1970–2015) providing more than 2 million data records for the Agriculture, Energy, Industry, Waste and Land Use Change Sectors at national and subnational levels. The SEEG dataset was developed...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972695/ https://www.ncbi.nlm.nih.gov/pubmed/29809176 http://dx.doi.org/10.1038/sdata.2018.45 |
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author | de Azevedo, Tasso Rezende Costa Junior, Ciniro Brandão Junior, Amintas Cremer, Marcelo dos Santos Piatto, Marina Tsai, David Shiling Barreto, Paulo Martins, Heron Sales, Márcio Galuchi, Tharic Rodrigues, Alessandro Morgado, Renato Ferreira, André Luis Barcellos e Silva, Felipe Viscondi, Gabriel de Freitas dos Santos, Karoline Costal Cunha, Kamyla Borges da Manetti, Andrea Coluna, Iris Moura Esteves Albuquerque, Igor Reis de Junior, Shigueo Watanabe Leite, Clauber Kishinami, Roberto |
author_facet | de Azevedo, Tasso Rezende Costa Junior, Ciniro Brandão Junior, Amintas Cremer, Marcelo dos Santos Piatto, Marina Tsai, David Shiling Barreto, Paulo Martins, Heron Sales, Márcio Galuchi, Tharic Rodrigues, Alessandro Morgado, Renato Ferreira, André Luis Barcellos e Silva, Felipe Viscondi, Gabriel de Freitas dos Santos, Karoline Costal Cunha, Kamyla Borges da Manetti, Andrea Coluna, Iris Moura Esteves Albuquerque, Igor Reis de Junior, Shigueo Watanabe Leite, Clauber Kishinami, Roberto |
author_sort | de Azevedo, Tasso Rezende |
collection | PubMed |
description | This work presents the SEEG platform, a 46-year long dataset of greenhouse gas emissions (GHG) in Brazil (1970–2015) providing more than 2 million data records for the Agriculture, Energy, Industry, Waste and Land Use Change Sectors at national and subnational levels. The SEEG dataset was developed by the Climate Observatory, a Brazilian civil society initiative, based on the IPCC guidelines and Brazilian National Inventories embedded with country specific emission factors and processes, raw data from multiple official and non-official sources, and organized together with social and economic indicators. Once completed, the SEEG dataset was converted into a spreadsheet format and shared via web-platform that, by means of simple queries, allows users to search data by emission sources and country and state activities. Because of its effectiveness in producing and making available data on a consistent and accessible basis, SEEG may significantly increase the capacity of civil society, scientists and stakeholders to understand and anticipate trends related to GHG emissions as well as its implications to public policies in Brazil. |
format | Online Article Text |
id | pubmed-5972695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59726952018-05-30 SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 de Azevedo, Tasso Rezende Costa Junior, Ciniro Brandão Junior, Amintas Cremer, Marcelo dos Santos Piatto, Marina Tsai, David Shiling Barreto, Paulo Martins, Heron Sales, Márcio Galuchi, Tharic Rodrigues, Alessandro Morgado, Renato Ferreira, André Luis Barcellos e Silva, Felipe Viscondi, Gabriel de Freitas dos Santos, Karoline Costal Cunha, Kamyla Borges da Manetti, Andrea Coluna, Iris Moura Esteves Albuquerque, Igor Reis de Junior, Shigueo Watanabe Leite, Clauber Kishinami, Roberto Sci Data Data Descriptor This work presents the SEEG platform, a 46-year long dataset of greenhouse gas emissions (GHG) in Brazil (1970–2015) providing more than 2 million data records for the Agriculture, Energy, Industry, Waste and Land Use Change Sectors at national and subnational levels. The SEEG dataset was developed by the Climate Observatory, a Brazilian civil society initiative, based on the IPCC guidelines and Brazilian National Inventories embedded with country specific emission factors and processes, raw data from multiple official and non-official sources, and organized together with social and economic indicators. Once completed, the SEEG dataset was converted into a spreadsheet format and shared via web-platform that, by means of simple queries, allows users to search data by emission sources and country and state activities. Because of its effectiveness in producing and making available data on a consistent and accessible basis, SEEG may significantly increase the capacity of civil society, scientists and stakeholders to understand and anticipate trends related to GHG emissions as well as its implications to public policies in Brazil. Nature Publishing Group 2018-05-29 /pmc/articles/PMC5972695/ /pubmed/29809176 http://dx.doi.org/10.1038/sdata.2018.45 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor de Azevedo, Tasso Rezende Costa Junior, Ciniro Brandão Junior, Amintas Cremer, Marcelo dos Santos Piatto, Marina Tsai, David Shiling Barreto, Paulo Martins, Heron Sales, Márcio Galuchi, Tharic Rodrigues, Alessandro Morgado, Renato Ferreira, André Luis Barcellos e Silva, Felipe Viscondi, Gabriel de Freitas dos Santos, Karoline Costal Cunha, Kamyla Borges da Manetti, Andrea Coluna, Iris Moura Esteves Albuquerque, Igor Reis de Junior, Shigueo Watanabe Leite, Clauber Kishinami, Roberto SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title | SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title_full | SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title_fullStr | SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title_full_unstemmed | SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title_short | SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015 |
title_sort | seeg initiative estimates of brazilian greenhouse gas emissions from 1970 to 2015 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972695/ https://www.ncbi.nlm.nih.gov/pubmed/29809176 http://dx.doi.org/10.1038/sdata.2018.45 |
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