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Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon
The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895449/ https://www.ncbi.nlm.nih.gov/pubmed/36732347 http://dx.doi.org/10.1038/s41597-023-01962-1 |
| _version_ | 1784881907374227456 |
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| author | Rorato, Ana C. Dal’Asta, Ana Paula Lana, Raquel Martins dos Santos, Ricardo B. N. Escada, Maria Isabel S. Vogt, Camila M. Neves, Tatiana Campos Barbosa, Milton Andreazzi, Cecilia S. dos Reis, Izabel C. Fernandes, Danilo A. da Silva-Nunes, Mônica de Souza, Anielli R. Monteiro, Antonio M. V. Codeço, Claudia T. |
| author_facet | Rorato, Ana C. Dal’Asta, Ana Paula Lana, Raquel Martins dos Santos, Ricardo B. N. Escada, Maria Isabel S. Vogt, Camila M. Neves, Tatiana Campos Barbosa, Milton Andreazzi, Cecilia S. dos Reis, Izabel C. Fernandes, Danilo A. da Silva-Nunes, Mônica de Souza, Anielli R. Monteiro, Antonio M. V. Codeço, Claudia T. |
| author_sort | Rorato, Ana C. |
| collection | PubMed |
| description | The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences fields, consolidating multidisciplinary indicators into a coherent dataset for integrated and interdisciplinary studies of the Brazilian Amazon. The dataset allows the investigation of the association between the Amazonian agrarian systems and their impacts on environmental and epidemiological changes, furthermore enhancing the possibilities for understanding, in a more integrated and consistent way, the scenarios that affect the Amazonian biome and its inhabitants. |
| format | Online Article Text |
| id | pubmed-9895449 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-98954492023-02-04 Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon Rorato, Ana C. Dal’Asta, Ana Paula Lana, Raquel Martins dos Santos, Ricardo B. N. Escada, Maria Isabel S. Vogt, Camila M. Neves, Tatiana Campos Barbosa, Milton Andreazzi, Cecilia S. dos Reis, Izabel C. Fernandes, Danilo A. da Silva-Nunes, Mônica de Souza, Anielli R. Monteiro, Antonio M. V. Codeço, Claudia T. Sci Data Data Descriptor The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences fields, consolidating multidisciplinary indicators into a coherent dataset for integrated and interdisciplinary studies of the Brazilian Amazon. The dataset allows the investigation of the association between the Amazonian agrarian systems and their impacts on environmental and epidemiological changes, furthermore enhancing the possibilities for understanding, in a more integrated and consistent way, the scenarios that affect the Amazonian biome and its inhabitants. Nature Publishing Group UK 2023-02-02 /pmc/articles/PMC9895449/ /pubmed/36732347 http://dx.doi.org/10.1038/s41597-023-01962-1 Text en © The Author(s) 2023 https://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/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Data Descriptor Rorato, Ana C. Dal’Asta, Ana Paula Lana, Raquel Martins dos Santos, Ricardo B. N. Escada, Maria Isabel S. Vogt, Camila M. Neves, Tatiana Campos Barbosa, Milton Andreazzi, Cecilia S. dos Reis, Izabel C. Fernandes, Danilo A. da Silva-Nunes, Mônica de Souza, Anielli R. Monteiro, Antonio M. V. Codeço, Claudia T. Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title | Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title_full | Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title_fullStr | Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title_full_unstemmed | Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title_short | Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon |
| title_sort | trajetorias: a dataset of environmental, epidemiological, and economic indicators for the brazilian amazon |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895449/ https://www.ncbi.nlm.nih.gov/pubmed/36732347 http://dx.doi.org/10.1038/s41597-023-01962-1 |
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