100+ datasets found
  1. Distribution of online content creators in Brazil 2023, by ethnicity

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Distribution of online content creators in Brazil 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1374968/brazil-influencers-ethnicity/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    As of March 2023, around ** percent of online content creators surveyed in Brazil identified as white. Brown and Black digital influencers accounted for ** and ** percent of the respondents, respectively. There were an estimated *** million internet users in Brazil in 2023.

  2. Tree Diversity and Dynamics of the Forest of Seu Nico (Brazil/MG)

    • gbif.org
    • demo.gbif.org
    Updated Aug 18, 2016
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    João Meira Neto; João Meira Neto (2016). Tree Diversity and Dynamics of the Forest of Seu Nico (Brazil/MG) [Dataset]. http://doi.org/10.15468/4ckfsb
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    Dataset updated
    Aug 18, 2016
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Laboratory of Ecology and Evolution of Plants, at Universidade Federal de Vicosa
    Authors
    João Meira Neto; João Meira Neto
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 15, 2001 - Jan 11, 2010
    Area covered
    Description

    Abstract To understand future changes in community composition due to global changes, the knowledge about community dynamics is of crucial importance. To improve our understanding about processes and patterns involved in maintaining species rich neotropical ecosystems, we provide here a dataset from the one hectare Forest of Seu Nico (FSN) Dynamics Plot from Southeastern Brazil. We report diameter at breast height, basal area and height measurements of 2868 trees and treelets identified during two census spanning over a nine-year period. Furthermore, soil properties and understory light availability of all 100 10 x 10m subplots from the one hectare FSN Dynamics Plot during the second census are given.

  3. N

    Median Household Income by Racial Categories in Brazil, IN (2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in Brazil, IN (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/353e0bf8-8904-11ee-9302-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Brazil. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Brazil population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94% of the total residents in Brazil. Notably, the median household income for White households is $48,925. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $48,925.

    https://i.neilsberg.com/ch/brazil-in-median-household-income-by-race.jpeg" alt="Brazil median household income diversity across racial categories">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Brazil.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Brazil median household income by race. You can refer the same here

  4. S

    Diversity of larval and adult anurans in Minas Gerais, Brazil

    • dataportal.senckenberg.de
    pdf
    Updated Dec 17, 2020
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    Köhler (2020). Diversity of larval and adult anurans in Minas Gerais, Brazil [Dataset]. https://dataportal.senckenberg.de/dataset/diversity-of-larval-and-adult-anurans-in-minas-gerais-brazil
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    pdfAvailable download formats
    Dataset updated
    Dec 17, 2020
    Dataset provided by
    Senckenberg - Data Stock (Nagoya)
    Authors
    Köhler
    Time period covered
    Aug 1, 2017
    Area covered
    Description

    We conducted a survey of tadpoles and adult anurans in several ponds in the State of Minas Gerais, Brazil. We determined the taxonomic identities of the tadpoles by matching the tadpole DNA barcodes (16S) with the respective barcodes of adults. We provide descriptions and illustrations of the larval morphology of these anurans, including their coloration in life. The tadpoles we collected were screened for symptoms of Batrachochytrium dendrobatidis (Bd) infection, by visually inspecting the keratinous mouth parts under a dissecting microscope.

  5. f

    Data from: Geographic and Gender Diversity in the Brazilian Academy of...

    • scielo.figshare.com
    png
    Updated May 31, 2023
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    NATHÁLIA C. FERRARI; RAQUEL MARTELL; DANIELA H. OKIDO; GRASIELE ROMANZINI; VIVIANE MAGNAN; MARCIA C. BARBOSA; CAROLINA BRITO (2023). Geographic and Gender Diversity in the Brazilian Academy of Sciences [Dataset]. http://doi.org/10.6084/m9.figshare.6991433.v1
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    pngAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    NATHÁLIA C. FERRARI; RAQUEL MARTELL; DANIELA H. OKIDO; GRASIELE ROMANZINI; VIVIANE MAGNAN; MARCIA C. BARBOSA; CAROLINA BRITO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Recent studies have shown that diversity in race and gender is important to improve competitiveness, creativity and innovation. However, many studies have shown that the universe of science is not diverse in none of these criteria. In this work, we quantify the gender and geographic diversity in the Brazilian science. We study in detail the profile of the titular members of the most prestigious academic institution of Brazil, the Brazilian Academy of Sciences (ABC). Our analysis shows that the members of the ABC concentrates 80% in the Southeast region and that the overwhelming majority is composed by men. We show that female and male researchers have roughly the same amount of publication per year but women produce more human resources. Using the Brazilian Researchers’ Fellowship databank we show that the gender and diversity both in gender and in geography decreases along the researchers’ career.

  6. Data from: Diversity and distribution of Lentibulariaceae in Bahia state,...

    • demo.gbif.org
    Updated Nov 16, 2025
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    Plazi.org taxonomic treatments database (2025). Diversity and distribution of Lentibulariaceae in Bahia state, Brazil: implications for phytogeography and conservation [Dataset]. http://doi.org/10.15468/gtat86
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    Dataset updated
    Nov 16, 2025
    Dataset provided by
    Plazi
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    State of Bahia, Brazil
    Description

    This dataset contains the digitized treatments in Plazi based on the original journal article Guedes, Felipe Martins, Miranda, Vitor Fernandes Oliveira, Alves, Marccus (2022): Diversity and distribution of Lentibulariaceae in Bahia state, Brazil: implications for phytogeography and conservation. Phytotaxa 556 (3): 213-255, DOI: 10.11646/phytotaxa.556.3.1, URL: http://dx.doi.org/10.11646/phytotaxa.556.3.1

  7. Population of Brazil 1800-2020

    • statista.com
    Updated Jul 21, 2020
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    Statista (2020). Population of Brazil 1800-2020 [Dataset]. https://www.statista.com/statistics/1066832/population-brazil-since-1800/
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    Dataset updated
    Jul 21, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    The history of modern Brazil begins in the year 1500 when Pedro Álvares Cabral arrived with a small fleet and claimed the land for the Portuguese Empire. With the Treaty of Torsedillas in 1494, Spain and Portugal agreed to split the New World peacefully, thus allowing Portugal to take control of the area with little competition from other European powers. As the Portuguese did not arrive with large numbers, and the indigenous population was overwhelmed with disease, large numbers of African slaves were transported across the Atlantic and forced to harvest or mine Brazil's wealth of natural resources. These slaves were forced to work in sugar, coffee and rubber plantations and gold and diamond mines, which helped fund Portuguese expansion across the globe. In modern history, transatlantic slavery brought more Africans to Brazil than any other country in the world. This combination of European, African and indigenous peoples set the foundation for what has become one of the most ethnically diverse countries across the globe.

    Independence and Monarchy By the early eighteenth century, Portugal had established control over most of modern-day Brazil, and the population more than doubled in each half of the 1800s. The capital of the Portuguese empire was moved to Rio de Janeiro in 1808 (as Napoleon's forces moved closer towards Lisbon), making this the only time in European history where a capital was moved to another continent. The United Kingdom of Portugal, Brazil and the Algarves was established in 1815, and when the Portuguese monarchy and capital returned to Lisbon in 1821, the King's son, Dom Pedro, remained in Brazil as regent. The following year, Dom Pedro declared Brazil's independence, and within three years, most other major powers (including Portugal) recognized the Empire of Brazil as an independent monarchy and formed economic relations with it; this was a much more peaceful transition to independence than many of the ex-Spanish colonies in the Americas. Under the reign of Dom Pedro II, Brazil's political stability remained relatively intact, and the economy grew through its exportation of raw materials and economic alliances with Portugal and Britain. Despite pressure from political opponents, Pedro II abolished slavery in 1850 (as part of a trade agreement with Britain), and Brazil remained a powerful, stable and progressive nation under Pedro II's leadership, in stark contrast to its South American neighbors. The booming economy also attracted millions of migrants from Europe and Asia around the turn of the twentieth century, which has had a profound impact on Brazil's demography and culture to this day.

    The New Republic

    Despite his popularity, King Pedro II was overthrown in a military coup in 1889, ending his 58 year reign and initiating six decades of political instability and economic difficulties. A series of military coups, failed attempts to restore stability, and the decline of Brazil's overseas influence contributed greatly to a weakened economy in the early 1900s. The 1930s saw the emergence of Getúlio Vargas, who ruled as a fascist dictator for two decades. Despite a growing economy and Brazil's alliance with the Allied Powers in the Second World War, the end of fascism in Europe weakened Vargas' position in Brazil, and he was eventually overthrown by the military, who then re-introduced democracy to Brazil in 1945. Vargas was then elected to power in 1951, and remained popular among the general public, however political opposition to his beliefs and methods led to his suicide in 1954. Further political instability ensued and a brutal, yet prosperous, military dictatorship took control in the 1960s and 1970s, but Brazil gradually returned to a democratic nation in the 1980s. Brazil's economic and political stability fluctuated over the subsequent four decades, and a corruption scandal in the 2010s saw the impeachment of President Dilma Rousseff. Despite all of this economic instability and political turmoil, Brazil is one of the world's largest economies and is sometimes seen as a potential superpower. The World Bank classifies it as a upper-middle income country and it has the largest share of global wealth in Latin America. It is the largest Lusophone (Portuguese-speaking), and sixth most populous country in the world, with a population of more than 210 million people.

  8. f

    Comparison of pvama1 genetic diversity among isolates from Brazil.

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Jul 8, 2020
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    Gervásio, João Henrique D. B.; Kujbida Junior, Mario A.; Albrecht, Letusa; Ventura, Ana Maria R. S.; Lacerda, Marcus V. G.; da Silva, Ana Beatriz Iung Enembreck; Pimenta, Tamirys S.; Schappo, Ana Paula; Lopes, Stefanie C. P.; Costa, Fabio T. M.; Libonati, Rosana M. F.; Virgili, Natália Silveira; Machado, Ricardo L. D.; Silva-Filho, João Luiz; dos Santos, Hellen Geremias; Bittencourt, Najara Carneiro (2020). Comparison of pvama1 genetic diversity among isolates from Brazil. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000576960
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    Dataset updated
    Jul 8, 2020
    Authors
    Gervásio, João Henrique D. B.; Kujbida Junior, Mario A.; Albrecht, Letusa; Ventura, Ana Maria R. S.; Lacerda, Marcus V. G.; da Silva, Ana Beatriz Iung Enembreck; Pimenta, Tamirys S.; Schappo, Ana Paula; Lopes, Stefanie C. P.; Costa, Fabio T. M.; Libonati, Rosana M. F.; Virgili, Natália Silveira; Machado, Ricardo L. D.; Silva-Filho, João Luiz; dos Santos, Hellen Geremias; Bittencourt, Najara Carneiro
    Area covered
    Brazil
    Description

    Comparison of pvama1 genetic diversity among isolates from Brazil.

  9. m

    Data for: Patterns of diversity of Brazilian reef fish fauna

    • data.mendeley.com
    Updated Aug 21, 2020
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    João Feitosa (2020). Data for: Patterns of diversity of Brazilian reef fish fauna [Dataset]. http://doi.org/10.17632/7km8mjtxgv.1
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    Dataset updated
    Aug 21, 2020
    Authors
    João Feitosa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Reef fish communities were assessed using visual census techniques across 100 reefs spanning over 2.000 km of coastline. Each reef was considered a sample unit and species densities per 100 m² was used for calculating true diversity measures.

    Diversity patterns were investigated using “true diversity” measures (sensu Jost 2006), considering the effective number of species equal to Hill numbers (qD). Values in dataset correspond to number of effective species per reef (α diversity, Dα), for q = 0, 1 and 2, using sampled area as weights. Each line represents a reef, labeled by a Code, followed by Brazilian State, Location name, Latitude, Longitude and Source of the species data. Predictors used for adjusting GLMs are presented next: Reef morphotype (categorical predictor), with five levels corresponding to Brazilian reef morphological structures (cemented terraces, fringing, patch, bank and pinnacle reefs, see Appendix S1 for a detailed description). Depth, as the average depth of the reef in meters, measured in situ, isolation, as the linear distance between the reef to the nearest point in mainland, are also presented.

  10. Data from: The diversity in legislation on public libraries in Brazil and...

    • scielo.figshare.com
    xls
    Updated May 31, 2023
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    Heloá Cristina Oliveira-DelMassa; José Antonio Frías; Oswaldo Francisco de Almeida Junior (2023). The diversity in legislation on public libraries in Brazil and Spain [Dataset]. http://doi.org/10.6084/m9.figshare.11839668.v1
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Heloá Cristina Oliveira-DelMassa; José Antonio Frías; Oswaldo Francisco de Almeida Junior
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Spain, Brazil
    Description

    Abstract Public libraries are in face a diverse public, and often oppressed. The proposal of a mediating action foresees a constant rapprochement with readers in order to promote internal policies and activities that seek the appropriation of information, respecting and favoring the diversity. This work starts from the question: have public libraries been supported by a legislation that promote and strengthen the cultural diversity? To answer is proposed an initial analysis of the legislation for Public Libraries of Brazil and Spain, seeking to mention of the diversity within the most general laws of each country. Qualitatively selected laws (for Brazil, the National Book Plan, Law No. 13,696, of July 12, 2018, which establishes the National Reading and Writing Policy, and the National Book and Reading Plan - PNLL and for Spain, the Regulation of Public Libraries of the State and of the Spanish System of Libraries - Royal Decree 582/1989, and the laws: Law 10/2007, Law 19/2006 and Law 5/2012) were analyzed using Discourses Analysis. After the analyzes, it was possible to identify, in the Brazilian case, that the documents assume a position of book, reading and writing that presents a "poetization" of access and ends up by disregarding the nuances of the appropriation. In the case of Spain, in the perspective of this study (even if in isolation), which not only bring the theme as relevant, but also present corresponding lines of action. It was concluded the predominance of the custodial paradigm and the insufficient recognition of cultural diversity as an impact factor in the legislations evaluated.

  11. Housing in Brazil 🇧🇷

    • kaggle.com
    zip
    Updated Aug 8, 2024
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    Louay Faraj (2024). Housing in Brazil 🇧🇷 [Dataset]. https://www.kaggle.com/datasets/louayfaraj/housing-in-brazil
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    zip(452159 bytes)Available download formats
    Dataset updated
    Aug 8, 2024
    Authors
    Louay Faraj
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Brazil
    Description

    This dataset explores the real estate market in Brazil, focusing on regional differences and the relationship between home size and price in the southern region. The analysis aims to identify key factors affecting property prices across different regions of Brazil, leveraging data cleaning, visualization, and predictive modeling techniques. This project is part of WorldQuant University's Applied Data Science Lab, providing hands-on experience in data wrangling, feature engineering, and machine learning model development to uncover valuable insights into the Brazilian housing market.

  12. Reasons why immigrants choose Brazil according to Brazilians 2022

    • statista.com
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    Statista, Reasons why immigrants choose Brazil according to Brazilians 2022 [Dataset]. https://www.statista.com/statistics/1395192/why-immigrants-choose-brazil-according-to-brazilians/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022 - Aug 2022
    Area covered
    Brazil
    Description

    As of 2022, ** percent of the Brazilian population believed that immigrants choose Brazil because it is a welcoming country. Ease of entry into Brazil was reported by ** percent as the second most important reason. Only ** percent believe that immigrants choose Brazil for its culture and diversity.

  13. o

    ReefSYN | Standardized datasets of Brazilian reef diversity in space and...

    • obis.org
    • gbif.org
    zip
    Updated Jul 3, 2024
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    (2024). ReefSYN | Standardized datasets of Brazilian reef diversity in space and time - Dataset XVI: Benthic communities from Rio Grande do Norte [Dataset]. http://doi.org/10.25607/c2c37e
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    zipAvailable download formats
    Dataset updated
    Jul 3, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2016 - 2017
    Area covered
    State of Rio Grande do Norte
    Variables measured
    Percentage cover
    Description

    This dataset was collected by Guilherme Longo and Natália Roos, and includes the relative benthic cover of reef formations in northeast coast of Brazil (Rio Grande do Norte state) sampled with photoquadrats along transects at different depths.

  14. f

    Data from: Diversity of Brazilian Fungi

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    • +1more
    Updated Jun 9, 2022
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    Rezende, Diogo H. C.; Magnago, Altielys C.; Pfenning, Ludwig H.; Giachini, Admir J.; de Carvalho Júnior, Aníbal A.; de Oliveira, Jadson J. S.; Gusmão, Luís F. P.; Melo, Roger F.; Menolli Junior, Nelson; Souza, João F.; Pereira, Jadergudson; Goto, Bruno T.; da S. Soares, Adriene M.; Baseia, Iuri G.; Sotão, Helen M. P.; Wartchow, Felipe; Drechsler-Santos, Elisandro R.; Soares, Dartanhã J.; de Medeiros, Priscila S.; Maia, Leonor C.; da Silveira, Rosa M. B.; Pulgarín, Melissa P.; Montoya, Carlos A. S.; Luz, Edna D. M. N.; da S. Cáceres, Marcela E.; Silva, Allyne C. G.; Urrea-Valencia, Salomé; de H. Cavalcanti, Laise; Friedrich, Raquel C. S.; Pires, Ricardo M.; dos S. Chikowski, Renata; de Melo, Georgea S. N.; da Silva, Valéria F.; Capelari, Marina; Jaeger, Melissa C. W.; Freire, Fernando M.; Gibertoni, Tatiana B.; de M. Gugliotta, Adriana; de A. Santiago, André L. M.; Aptroot, André; Neta, Lídia S. Araujo; Neves, Maria A.; Karstedt, Fernanda; Pires-Zottarelli, Carmen L. A.; Cortez, Vagner G.; de Lira, Carla R. S.; Gumboski, Emerson L.; Coutinho, Flávia P.; da Silva, Danielle K. A.; Bezerra, José L. (2022). Diversity of Brazilian Fungi [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000290407
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    Dataset updated
    Jun 9, 2022
    Authors
    Rezende, Diogo H. C.; Magnago, Altielys C.; Pfenning, Ludwig H.; Giachini, Admir J.; de Carvalho Júnior, Aníbal A.; de Oliveira, Jadson J. S.; Gusmão, Luís F. P.; Melo, Roger F.; Menolli Junior, Nelson; Souza, João F.; Pereira, Jadergudson; Goto, Bruno T.; da S. Soares, Adriene M.; Baseia, Iuri G.; Sotão, Helen M. P.; Wartchow, Felipe; Drechsler-Santos, Elisandro R.; Soares, Dartanhã J.; de Medeiros, Priscila S.; Maia, Leonor C.; da Silveira, Rosa M. B.; Pulgarín, Melissa P.; Montoya, Carlos A. S.; Luz, Edna D. M. N.; da S. Cáceres, Marcela E.; Silva, Allyne C. G.; Urrea-Valencia, Salomé; de H. Cavalcanti, Laise; Friedrich, Raquel C. S.; Pires, Ricardo M.; dos S. Chikowski, Renata; de Melo, Georgea S. N.; da Silva, Valéria F.; Capelari, Marina; Jaeger, Melissa C. W.; Freire, Fernando M.; Gibertoni, Tatiana B.; de M. Gugliotta, Adriana; de A. Santiago, André L. M.; Aptroot, André; Neta, Lídia S. Araujo; Neves, Maria A.; Karstedt, Fernanda; Pires-Zottarelli, Carmen L. A.; Cortez, Vagner G.; de Lira, Carla R. S.; Gumboski, Emerson L.; Coutinho, Flávia P.; da Silva, Danielle K. A.; Bezerra, José L.
    Area covered
    Brazil
    Description

    Abstract Knowledge about the Brazilian fungal diversity was, until 2010, recorded in few taxonomy and ecology publications, as well as in a handful of species lists. With the publication of the Catálogo de Plantas e Fungos do Brasil and the continued availability of an online list, it has been possible to aggregate this dispersed knowledge. The version presented here adds 2,111 species names to the 3,608 listed in 2010. A total of 5,719 species of fungi distributed in 1,246 genera, 102 orders and 13 phyla represents a considerable increase over the last five years, when only 924 genera and 78 orders were registered. Basidiomycota (2,741 species in 22 orders) and Ascomycota (1,881 species in 41 orders) predominate over other groups. The Atlantic Rainforest has the largest number of records, with 3,017 species, followed by Amazon Rainforest (1,050), Caatinga (999), Cerrado (638) and Pampa and Pantanal with 84 and 35 species, respectively. The Northeast region has the greatest richness (2,617 species), followed by Southeast (2,252), South (1,995), North (1,301) and Central-West (488 species). Regarding the States of the Federation, São Paulo with 1,846 species, Pernambuco with 1,611 and Rio Grande do Sul with 1,377 species are the most diverse.

  15. Data from: Natural Products: Perspectives and Challenges for use of...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    MARILIA VALLI; VANDERLAN S. BOLZANI (2023). Natural Products: Perspectives and Challenges for use of Brazilian Plant Species in the Bioeconomy [Dataset]. http://doi.org/10.6084/m9.figshare.9598868.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    MARILIA VALLI; VANDERLAN S. BOLZANI
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract: The development of our society has been based on the use of biodiversity, especially for nutrition, medicines and beauty. Brazil is the nation with the largest biodiversity in the world, with a rich chemical diversity, which is a potential source for bioeconomy. Considering the chemical and biological diversity of the Brazilian territory, we would like to highlight the value of secondary metabolites from Brazilian biodiversity with potential application for new products and technologies and the importance of scientific programs to support the sustainable use of biodiversity.

  16. f

    Data from: The potential contribution of the natural products from Brazilian...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    jpeg
    Updated Jun 1, 2023
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    MARILIA VALLI; HELENA M. RUSSO; VANDERLAN S. BOLZANI (2023). The potential contribution of the natural products from Brazilian biodiversity to bioeconomy [Dataset]. http://doi.org/10.6084/m9.figshare.6235322.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    MARILIA VALLI; HELENA M. RUSSO; VANDERLAN S. BOLZANI
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT The development of our society has been based on the use of biodiversity, especially for medicines and nutrition. Brazil is the nation with the largest biodiversity in the world accounting for more than 15% of all living species. The devastation of biodiversity in Brazil is critical and may not only cause the loss of species and genes that encode enzymes involved in the complex metabolism of organisms, but also the loss of a rich chemical diversity, which is a potential source for bioeconomy based on natural products and new synthetic derivatives. Bioeconomy focus on the use of bio-based products, instead of fossil-based ones and could address some of the important challenges faced by society. Considering the chemical and biological diversity of Brazil, this review highlights the Brazilian natural products that were successfully used to develop new products and the value of secondary metabolites from Brazilian biodiversity with potential application for new products and technologies. Additionally, we would like to address the importance of new technologies and scientific programs to support preservation policies, bioeconomy and strategies for the sustainable use of biodiversity.

  17. f

    Data from: Diversity of ferns and lycophytes in Brazil

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Jun 9, 2022
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    de N. Pereira, Anna Flora; Almeida, Thaís E.; Condack, João Paulo S.; Prado, Jefferson; Schwartsburd, Pedro B.; Matos, Fernando B.; Ramos, Carla G. V.; Mynssen, Claudine M.; Salino, Alexandre; Dittrich, Vinicius A. O.; Pereira, Jovani B. S.; Hirai, Regina Y.; Kieling-Rubio, Maria A.; Barros, Iva C. L.; Øllgaard, Benjamin; Mickel, John T.; da S. Sylvestre, Lana; Santiago, Augusto C. P.; Labiak, Paulo H.; Windisch, Paulo G. (2022). Diversity of ferns and lycophytes in Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000290430
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    Dataset updated
    Jun 9, 2022
    Authors
    de N. Pereira, Anna Flora; Almeida, Thaís E.; Condack, João Paulo S.; Prado, Jefferson; Schwartsburd, Pedro B.; Matos, Fernando B.; Ramos, Carla G. V.; Mynssen, Claudine M.; Salino, Alexandre; Dittrich, Vinicius A. O.; Pereira, Jovani B. S.; Hirai, Regina Y.; Kieling-Rubio, Maria A.; Barros, Iva C. L.; Øllgaard, Benjamin; Mickel, John T.; da S. Sylvestre, Lana; Santiago, Augusto C. P.; Labiak, Paulo H.; Windisch, Paulo G.
    Area covered
    Brazil
    Description

    Abstract This compilation of ferns and lycophytes in Brazil is an update of the one published in 2010 in Catálogo de Plantas e Fungos do Brasil. The methodology consisted in collecting data from regional checklists, taxonomic revisions, and selected databases. Invited specialists improved the list accessing a website housed at the Jardim Botânico do Rio de Janeiro. The results show 1,253 species: 1,111 of ferns and 142 of lycophytes. This number is 6.5% higher than the previous one (1,176 spp.). The percentage of endemic species decreased from 38.2% to 36.7%. We recognized 36 families and 133 genera (vs. 33 families, 121 genera in 2010). The 10 most diverse families are Pteridaceae (196 spp.), Dryopteridaceae (179), Polypodiaceae (164), Hymenophyllaceae (90), Thelypteridaceae (86), Aspleniaceae (78), Lycopodiaceae (64), Selaginellaceae (55), Anemiaceae (51), and Cyatheaceae (45). The three most diverse genera are still Elaphoglossum (87 spp.), Thelypteris (85), and Asplenium (74). The richest phytogeographic domain continues to be in the Atlantic Rainforest with 883 species which also has the largest number of endemic and threatened species, followed by the Amazon Rainforest (503), Cerrado (269), Pantanal (30), Caatinga (26), and Pampa (eight). Minas Gerais remains as the richest state (657 spp. vs. 580 in 2010).

  18. S

    Data for: Diversity and distribution of testate amoebae in freshwater...

    • data.scielo.org
    pdf, txt
    Updated May 22, 2025
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    Larissa Souza Monteiro; Larissa Souza Monteiro (2025). Data for: Diversity and distribution of testate amoebae in freshwater ecoregions of Rio de Janeiro State, Brazil [Dataset]. http://doi.org/10.48331/SCIELODATA.X69ODT
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    pdf(953194), pdf(95096), txt(3475)Available download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    SciELO Data
    Authors
    Larissa Souza Monteiro; Larissa Souza Monteiro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    State of Rio de Janeiro, Brazil
    Description

    This dataset consists of two tables. The first is a presence-absence table that provides an updated list of testate amoebae found in the state of Rio de Janeiro, Brazil. It includes both historical records and new occurrence data, offering a comprehensive overview of the biogeography of testate amoebae in the region. The second table compiles previous studies on testate amoebae in the state of Rio de Janeiro, with its primary purpose being to document the collection methods used in each research effort. Data collection was conducted in April 2024 using the research databases Scopus, Web of Science, Google Scholar, and SciELO, with search keywords in both Portuguese and English: "Testate Amoebae," "Thecamoebian," "Zooplankton" combined with "Rio de Janeiro."

  19. Data from: Africanity and diversity in the teaching of History: between...

    • scielo.figshare.com
    jpeg
    Updated Jun 7, 2023
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    Arilson dos Santos Gomes (2023). Africanity and diversity in the teaching of History: between knowledge and practice [Dataset]. http://doi.org/10.6084/m9.figshare.5719441.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Arilson dos Santos Gomes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT This article aims to discuss the use of Africanity in school education. In particular the use of deities representations, which are worshiped in the state of Rio Grande do Sul, and its possible functional similarity in the teaching practice with the Greek myths. Another objective of the narrative is to demonstrate the challenges for teaching diversity and ethnic-racial relations in Brazil as well as to evaluate a lesson plan of the History discipline held in a public high school in the city of Porto Alegre, the capital city of the State. In order to interpret the results of the lesson proposal, the reports produced by the students themselves were analyzed. By means of the method of content analysis proposed by Bardin (2009) in its qualitative aspects, having as documentary corpus the students’ records, we observed the interest and the motivation on the part of the students of the seven classes involved in the activity.

  20. ReefSYN | Standardized datasets of Brazilian reef diversity in space and...

    • demo.gbif.org
    • obis.org
    • +1more
    Updated Jul 3, 2024
    + more versions
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    Tropical and Subtropical Western South Atlantic OBIS (2024). ReefSYN | Standardized datasets of Brazilian reef diversity in space and time - Dataset I: Fish communities from the Brazilian province [Dataset]. http://doi.org/10.25607/7nxv5v
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Tropical and Subtropical Western South Atlantic OBIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2001 - May 7, 2015
    Area covered
    Description

    This dataset is part of a broader compilation named 'Standardized datasets of Brazilian reef diversity in space and time' created from a research network of reef scientists within several projects and collaborations and finally gathered and published by the ReefSYN group.
    This dataset, an updated, filtered and curated version of the one used by Morais et al. (2017), includes fish counts and size estimates in 4,570 transects distributed over 137 localities in 20 different locations, spanning from 0° to 27°S (including oceanic islands). This dataset is the foundation of a large network of reef scientists in Brazil, which started as the project SISBIOTAMar and derived into the PELD ILOC and ReefSYN networks.

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Statista (2025). Distribution of online content creators in Brazil 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1374968/brazil-influencers-ethnicity/
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Distribution of online content creators in Brazil 2023, by ethnicity

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Dataset updated
Nov 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

As of March 2023, around ** percent of online content creators surveyed in Brazil identified as white. Brown and Black digital influencers accounted for ** and ** percent of the respondents, respectively. There were an estimated *** million internet users in Brazil in 2023.

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