Open VLF: plataforma de dados abertos para very low frequency data
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do Mackenzie |
Texto Completo: | https://dspace.mackenzie.br/handle/10899/38300 |
Resumo: | Indicado para publicação. |
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Kauffmann, Daniel H. V.Garcia , Lucas S.Oliveira , Rogério De2024-03-28T15:51:22Z2024-03-28T15:51:22Z2023-12-09Indicado para publicação.Este trabalho implementa uma plataforma de dados abertos para sinais VLF (Very Low Frequency). A plataforma integra múltiplos repositórios de dados e oferece funcionalidades para busca, visualização e download de dados coletados das bases de dados SAVNET e AWESOME, incluindo ferramentas de código aberto e conteúdo informativo. Com uma abordagem modular e escalável, a democratização das informações para estudos sobre clima espacial, erupções solares e fenômenos atmosféricos e eletromagnéticos da ionosfera impactam positivamente a pesquisa e o ensino na área. Além disso, a estrutura da plataforma permite a adaptação para outros tipos de dados e sistemas similares, reforçando seu caráter expansível e flexível dentro prática da ciência aberta, promovendo a transparência e colaboração na comunidade científica.This work implements an open data platform for VLF (Very Low Frequency) signals. The platform integrates multiple data repositories and offers functionalities for searching, visualizing, and downloading data collected from the SAVNET and AWESOME databases, including open-source tools and informative content. With a modular and scalable approach, the democratization of information for studies on space weather, solar flares, and atmospheric and electromagnetic phenomena of the ionosphere positively impacts research and teaching in the field. Furthermore, the structure of the platform allows for adaptation to other types of data and similar systems, reinforcing its expandable and flexible character within the practice of open science, promoting transparency and collaboration in the scientific community.https://dspace.mackenzie.br/handle/10899/38300Universidade Presbiteriana MackenzieFaculdade de Computação e Informática (FCI)código abertoVLFopen acessOpen VLF: plataforma de dados abertos para very low frequency datainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisporreponame:Biblioteca Digital de Teses e Dissertações do Mackenzieinstname:Universidade Presbiteriana Mackenzie (MACKENZIE)instacron:MACKENZIEinfo:eu-repo/semantics/openAccessORIGINALLUCAS SANTIAGO GARCIA ._5059099_assignsubmission_file_Open VLF Data TCC - Daniel Henrique Venna Kauffmann - Lucas Santiago Garcia.pdfLUCAS SANTIAGO GARCIA ._5059099_assignsubmission_file_Open VLF Data TCC - Daniel Henrique Venna Kauffmann - Lucas Santiago Garcia.pdfapplication/pdf2480335https://dspace.mackenzie.br/bitstreams/36b42a45-6dd8-4c80-afe5-9c34d67c1487/downloadb581a885b768a5165724e7f231492039MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.none.fl_str_mv |
Open VLF: plataforma de dados abertos para very low frequency data |
title |
Open VLF: plataforma de dados abertos para very low frequency data |
spellingShingle |
Open VLF: plataforma de dados abertos para very low frequency data Kauffmann, Daniel H. V. código aberto VLF open acess |
title_short |
Open VLF: plataforma de dados abertos para very low frequency data |
title_full |
Open VLF: plataforma de dados abertos para very low frequency data |
title_fullStr |
Open VLF: plataforma de dados abertos para very low frequency data |
title_full_unstemmed |
Open VLF: plataforma de dados abertos para very low frequency data |
title_sort |
Open VLF: plataforma de dados abertos para very low frequency data |
author |
Kauffmann, Daniel H. V. |
author_facet |
Kauffmann, Daniel H. V. Garcia , Lucas S. |
author_role |
author |
author2 |
Garcia , Lucas S. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Kauffmann, Daniel H. V. Garcia , Lucas S. |
dc.contributor.advisor1.fl_str_mv |
Oliveira , Rogério De |
contributor_str_mv |
Oliveira , Rogério De |
dc.subject.por.fl_str_mv |
código aberto VLF open acess |
topic |
código aberto VLF open acess |
description |
Indicado para publicação. |
publishDate |
2023 |
dc.date.issued.fl_str_mv |
2023-12-09 |
dc.date.accessioned.fl_str_mv |
2024-03-28T15:51:22Z |
dc.date.available.fl_str_mv |
2024-03-28T15:51:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
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bachelorThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://dspace.mackenzie.br/handle/10899/38300 |
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https://dspace.mackenzie.br/handle/10899/38300 |
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por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Presbiteriana Mackenzie |
dc.publisher.department.fl_str_mv |
Faculdade de Computação e Informática (FCI) |
publisher.none.fl_str_mv |
Universidade Presbiteriana Mackenzie |
dc.source.none.fl_str_mv |
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Biblioteca Digital de Teses e Dissertações do Mackenzie |
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