Dataset

This dataset was created by Leonardo Zara

Released under Apache 2.0

Contents

O Herbário IBGE possui atualmente 83.000 exsicatas, além de uma Carpoteca e Micoteca menores, com coletas principalmente das regiões com representatividade do Bioma Cerrado. Destaca-se por possuir uma grande coleção de gramíneas dos Cerrados brasileiros, além de abrigar mais de 390 tipos nomenclaturais. Atualmente, o Herbário IBGE está em processo avançado de informatização, utilizando o banco de dados do Sistema JABOT, e interligado ao Programa REFLORA, ambos do Instituto Jardim Botânico do Rio de Janeiro, que já disponibiliza os dados e imagens do acervo no portal do Programa. O Projeto Flora do Brasil 2020 é parte integrante deste Programa e está sendo realizado com o apoio do Sistema de Informação sobre a Biodiversidade Brasileira (SiBBr). O intercâmbio contínuo com diversas instituições nacionais e internacionais permite o enriquecimento da coleção em número de espécimes e a determinação taxonômica.

ibge-cidades

Dados dos municípios no Portal Cidades@ recuperados da API do IBGE

  Fonte

Os dados em questão são disponibilizados pelo IBGE no Portal Cidades@ (https://cidades.ibge.gov.br/brasil/panorama). Os dados foram coletados por chamadas à API em 21-22 de maio de 2025.

  Dados no dataset

O dataset contém dados de 5.565 localidades no Brasil (Cidades, Povoados, Vilarejos, etc.) coletados pelo IBGE, organizados por ano. No total, são 40 indicadores que têm seus… See the full description on the dataset page: https://huggingface.co/datasets/Saint-Clair/ibge-cidades.

Shapefiles, mapas, censo do IBGE.. Visit https://dataone.org/datasets/sha256%3A6468d5859d52169f1066049f43f6304aa2f8ffee5bbcc187e991833b407d2f9e for complete metadata about this dataset.

Dados coletados na API de dados agregados do IBGE.

Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data was reported at 6,767,303.000 Person in 2060. This records an increase from the previous number of 6,757,874.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data is updated yearly, averaging 5,036,045.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 6,827,971.000 Person in 2054 and a record low of 2,253,998.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Male: Age 65 to 69 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB043: Population: Projection: by Region and Age: Male (Discontinued).

O Censo Demográfico produz informações atualizadas e precisas, que são fundamentais para o desenvolvimento e implementação de políticas públicas e para a realização de investimentos, tanto do governo quanto da iniciativa privada. Além disso, uma sociedade que conhece a si mesma pode executar, com eficácia, ações imediatas e planejar com segurança o seu futuro. Retratar o Brasil que está entrando numa nova década é um desafio para o IBGE. Qual é o tamanho da população brasileira? Em que condições vive? Como se distribui no Território Nacional? Qual é o nível de escolaridade de nossas crianças e jovens? Quais as condições de emprego e renda da população? Estas e muitas outras perguntas serão respondidas pelo Censo Demográfico que o IBGE realiza em 2022. Neste repositório, teremos os recortes focados em Mogi das Cruzes. Mais informações: - https://sidra.ibge.gov.br/pesquisa/censo-demografico/demografico-2022/primeiros-resultados - https://censo2022.ibge.gov.br/

Dataset

This dataset was created by André Leite

Released under CC0: Public Domain

Contents

Arquivos extraídos do site do IBGE (referentes ao ano de 2015). Fonte: ftp://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2015/Brasil/BR/

The files were downloaded from the IBGE (Brazilian Institute of Geography and Statistics) website, and the maps are from 2015. Source (in Portuguese): ftp://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2015/Brasil/BR/

Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data was reported at 6,600,995.000 Person in 2060. This records a decrease from the previous number of 6,668,550.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data is updated yearly, averaging 7,692,298.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,761,261.000 Person in 2017 and a record low of 6,600,995.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Female: Age 30 to 34 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Brazil IBGE Projection: Population: Residents: Male: Age 5 to 9 Years data was reported at 5,744,493.000 Person in 2060. This records a decrease from the previous number of 5,787,041.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Male: Age 5 to 9 Years data is updated yearly, averaging 6,965,042.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,094,637.000 Person in 2010 and a record low of 5,744,493.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Male: Age 5 to 9 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB043: Population: Projection: by Region and Age: Male (Discontinued).

Data from the Instituto Brasileiro de Geografia e Estatística (IBGE) on the Agricultural Census of 2006

Brazil IBGE Projection: Population: Residents: Female: Age 15 to 19 Years data was reported at 5,833,479.000 Person in 2060. This records a decrease from the previous number of 5,871,292.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 15 to 19 Years data is updated yearly, averaging 7,117,070.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,598,599.000 Person in 2013 and a record low of 5,833,479.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Female: Age 15 to 19 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Brazil IBGE Projection: Population: Residents: Female: Age 65 to 69 Years data was reported at 7,521,177.000 Person in 2060. This records a decrease from the previous number of 7,531,415.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 65 to 69 Years data is updated yearly, averaging 5,923,895.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 7,726,054.000 Person in 2052 and a record low of 2,651,990.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Female: Age 65 to 69 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Brazil IBGE Projection: Population: Residents: Female: Age 35 to 39 Years data was reported at 6,915,100.000 Person in 2060. This records a decrease from the previous number of 6,975,247.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 35 to 39 Years data is updated yearly, averaging 7,807,181.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,720,848.000 Person in 2022 and a record low of 6,915,100.000 Person in 2060. Brazil IBGE Projection: Population: Residents: Female: Age 35 to 39 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

In Brazil, each region has its own cultural identity regarding accent, gastronomy, traditions, all of which may reflect its literature. Specially, we believe that country's background and contextual features are directly related to what people read. Hence, we present an enhanced dataset that comprises cultural, geographic, and socioeconomic information to explore Brazilian cultural identity through reading preference.

As our main data source, we chose the Goodreads website due to the sheer volume of data available and its organized and easily accessible API. We collect data from Brazilian readers through the goodreads library, which provides a Python interface to the Goodreads API. Specifically, we collect members of two of the largest Brazilian reading groups: the "Clube de Leitores em Português" (4,229 members) and the "Goodreads Brasil" (3,222 members). For all members of both groups, we also collect data from their friends. Then, we filter only those containing Brazil as location information from the final users' set. Finally, with the same library, we gather users' bookshelves to assess their reading preferences.

To investigate the Brazilian reading identity, we consider a medley of demographic and socioeconomic data from the Brazilian Institute of Geography and Statistics (IBGE): including territorial area, population estimate, demographic density, Human Development Index (HDI), Gross Domestic Product (GDP), and monthly household income per capita. All indicators refer to the year 2020, except the HDI that refers to the year 2017. The data collection was carried out from February 23 to March 04, 2021.

Our final dataset, named as BraCID, comprises:

• 38,231 Brazilian Goodreads users
• 75,093 Distinct books
• 80 Literary genres
• 6 IBGE indicators regarding the 27 federative units of Brazil

Context

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Content

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Acknowledgements

Data by IBGE. Cover picture by Isabela Kronemberger.

Inspiration

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Abstract: Income variables from the Brazilian population census (IBGE) are often used as proxies for the population’s socioeconomic level in spatial analyses of urban segregation, inequality and social exclusion. However, income variables are dependent on reference values (minimum wage) that change over time, which can be challenging for multitemporal analysis. This paper discusses this issue and proposes a methodology to adjust income data that allows a meaningful comparison between the datasets of two Census periods. The methodology was applied to five medium-sized cities of the state of São Paulo by adjusting income data from Census 2000 and 2010 according to the period’s inflation rates. The analysis shows that the methodology mitigates the comparability issues. Results better reflect the changes in population composition and in residential patterns of different income groups that took place over the 2000s in Brazil in medium-sized cities.

Brazil IBGE Projection: Population: Residents: Female: Age 40 to 44 Years data was reported at 7,073,965.000 Person in 2060. This records a decrease from the previous number of 7,105,657.000 Person for 2059. Brazil IBGE Projection: Population: Residents: Female: Age 40 to 44 Years data is updated yearly, averaging 7,766,032.000 Person from Jun 2010 (Median) to 2060, with 51 observations. The data reached an all-time high of 8,663,516.000 Person in 2027 and a record low of 6,778,692.000 Person in 2010. Brazil IBGE Projection: Population: Residents: Female: Age 40 to 44 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAB044: Population: Projection: by Region and Age: Female (Discontinued).

Abstract: The positioning method to be employee in a bathymetric survey is questioned about the horizontal and vertical precisions. In a general way, the vessel positioning in hydrographic surveys has been determined through the Differential GPS (DGPS). Upon consulting the literature, it was observed that few investigations regarding to the precision and accuracy of these methods were done when such surveys occur in reservoirs. Therefore, the main objective of the present work is to perform precisions and accuracies analyzes regarding to positioning of the vessel, through the methods as DGPS, Precise Point Positioning (PPP) and Kinematic Relative Positioning (MPRC). All results were inserted into a Geographic Information System (GIS), in which it was observed that the results were more precise for the MPRC. However, it was concluded that it is also possible to use the IBGE-PPP online service to process the positioning data of the geodetic marks and the vessel getting a precision lower than a meter. In conclusion, all methods investigated for positioning the vessel are in agreement with the specifications of the Resolution ANEEL/ANA nº 03 of August 10th, 2010. Nevertheless, it is important to follow the minimum requirements for each positioning method.