26 datasets found
  1. B

    Brazil Fertility Rate: Southeast: São Paulo

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Fertility Rate: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/en/brazil/fertility-rate/fertility-rate-southeast-so-paulo
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2003 - Sep 1, 2015
    Area covered
    Brazil
    Variables measured
    Vital Statistics
    Description

    Brazil Fertility Rate: Southeast: São Paulo data was reported at 1.590 NA in 2015. This records a decrease from the previous number of 1.610 NA for 2014. Brazil Fertility Rate: Southeast: São Paulo data is updated yearly, averaging 1.770 NA from Sep 2001 (Median) to 2015, with 14 observations. The data reached an all-time high of 2.110 NA in 2003 and a record low of 1.590 NA in 2015. Brazil Fertility Rate: Southeast: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE002: Fertility Rate. Information relating to the year 2011 will be updated by the source (IBGE) until July 2013.

  2. Amount of births in Sao Paulo 2023

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Amount of births in Sao Paulo 2023 [Dataset]. https://www.statista.com/statistics/1368299/number-births-sao-paulo/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    São Paulo, Brazil
    Description

    From 2000 to 2023, there was a steady birth rate decrease during the first fifteen years in Sao Paulo. The topmost number was in 2000 with *******. On the opposite, the lowest amount registered was in ***** the report with ******* births.

  3. B

    Brazil Crude Birth Rate: per 1000 Population: Southeast: São Paulo

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Crude Birth Rate: per 1000 Population: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/en/brazil/crude-birth-rate/crude-birth-rate-per-1000-population-southeast-so-paulo
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2004 - Sep 1, 2015
    Area covered
    Brazil
    Variables measured
    Vital Statistics
    Description

    Brazil Crude Birth Rate: per 1000 Population: Southeast: São Paulo data was reported at 12.755 % in 2015. This records a decrease from the previous number of 13.004 % for 2014. Brazil Crude Birth Rate: per 1000 Population: Southeast: São Paulo data is updated yearly, averaging 15.073 % from Sep 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 18.502 % in 2000 and a record low of 12.755 % in 2015. Brazil Crude Birth Rate: per 1000 Population: Southeast: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE003: Crude Birth Rate. Information relating to the year 2011 will be updated by the source (IBGE) until July 2013.

  4. 巴西 Fertility Rate: Southeast: São Paulo

    • ceicdata.com
    Updated Mar 28, 2022
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    CEICdata.com (2022). 巴西 Fertility Rate: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/zh-hans/brazil/fertility-rate
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    Dataset updated
    Mar 28, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2003 - Sep 1, 2015
    Area covered
    巴西
    Variables measured
    Vital Statistics
    Description

    Fertility Rate: Southeast: São Paulo在2015达1.590 NA,相较于2014的1.610 NA有所下降。Fertility Rate: Southeast: São Paulo数据按每年更新,2001至2015期间平均值为1.770 NA,共14份观测结果。该数据的历史最高值出现于2003,达2.110 NA,而历史最低值则出现于2015,为1.590 NA。CEIC提供的Fertility Rate: Southeast: São Paulo数据处于定期更新的状态,数据来源于Brazilian Institute of Geography and Statistics,数据归类于Brazil Premium Database的Socio and Demographic – Table BR.GAE002: Fertility Rate。

  5. p

    Birth Certificate Services in State of São Paulo, Brazil - 7 Verified...

    • poidata.io
    csv, excel, json
    Updated Aug 18, 2025
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    Poidata.io (2025). Birth Certificate Services in State of São Paulo, Brazil - 7 Verified Listings Database [Dataset]. https://www.poidata.io/report/birth-certificate-service/brazil/state-of-sao-paulo
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    excel, json, csvAvailable download formats
    Dataset updated
    Aug 18, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Brazil, State of São Paulo
    Description

    Comprehensive dataset of 7 Birth certificate services in State of São Paulo, Brazil as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. 巴西 Crude Birth Rate: per 1000 Population: Southeast: São Paulo

    • ceicdata.com
    Updated Jul 28, 2023
    + more versions
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    CEICdata.com (2023). 巴西 Crude Birth Rate: per 1000 Population: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/zh-hans/brazil/crude-birth-rate
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    Dataset updated
    Jul 28, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2004 - Sep 1, 2015
    Area covered
    巴西
    Variables measured
    Vital Statistics
    Description

    Crude Birth Rate: per 1000 Population: Southeast: São Paulo在2015达12.755 %,相较于2014的13.004 %有所下降。Crude Birth Rate: per 1000 Population: Southeast: São Paulo数据按每年更新,2000至2015期间平均值为15.073 %,共16份观测结果。该数据的历史最高值出现于2000,达18.502 %,而历史最低值则出现于2015,为12.755 %。CEIC提供的Crude Birth Rate: per 1000 Population: Southeast: São Paulo数据处于定期更新的状态,数据来源于Brazilian Institute of Geography and Statistics,数据归类于Brazil Premium Database的Socio and Demographic – Table BR.GAE003: Crude Birth Rate。

  7. f

    Data from: Low birth weight in a municipality in the southeast region of...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Carolina Queiroz de Souza Mendes; Bruna Cristina de Almeida Cacella; Myriam Aparecida Mandetta; Maria Magda Ferreira Gomes Balieiro (2023). Low birth weight in a municipality in the southeast region of Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.5645290.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Carolina Queiroz de Souza Mendes; Bruna Cristina de Almeida Cacella; Myriam Aparecida Mandetta; Maria Magda Ferreira Gomes Balieiro
    License

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

    Area covered
    Brazil
    Description

    ABSTRACT Objective: to identify the prevalence of low birth weight in the city of São Paulo. Method: epidemiological cross-sectional study with data collected by means of the Brazilian Live Birth Information System related to births occurred in the city of São Paulo between 2007 and 2013. Maternal, gestational, childbirth, and neonatal variables were analyzed descriptively and by association. Results: 9.65% (1,342,655) of live births were underweight (mean of 3234.55 grams in the term group and 2312.17 in the pre-term group) with a mean maternal age of 27.53 years old. The risk factors identified include maternal age, not having a partner, low maternal level of education, other race rather than white, pre-term pregnancy, multiple births, low number of prenatal check-ups, and cesarean delivery. Conclusion: knowledge of this evidence favors planning the care provided by defining strategies to reduce it and consequently improve maternal and infant health care.

  8. f

    Campinas, a colonial village (1774-1822)

    • scielo.figshare.com
    jpeg
    Updated Jun 2, 2023
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    Paulo Eduardo Teixeira (2023). Campinas, a colonial village (1774-1822) [Dataset]. http://doi.org/10.6084/m9.figshare.5792628.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELO journals
    Authors
    Paulo Eduardo Teixeira
    License

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

    Area covered
    Campinas
    Description

    Abstract The development of agriculture in São Paulo, Brazil, presented a significant expansion during the late eighteenth and early nineteenth centuries, which is the focus of this paper. The purpose is to understand the dynamics and movements of these populations of a region of plantations (slaveholding properties). The sources for this discussion are derived from the General Map of Inhabitants existing for the period 1798-1822 in Campinas, with added data from the Nominative Lists of inhabitants and Parish Registers. Despite evident data limitation, there was a strong demographic increase, especially in captive population.

  9. Frequency of weight at birth and serological profiles for T. gondii, São...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 11, 2023
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    Mariana Machado Lemos Fochi; Sabrina Baring; Lígia Cosentino Junqueira Franco Spegiorin; Denise Cristina Mós Vaz-Oliani; Eloisa Aparecida Galão; Antonio Hélio Oliani; Luiz Carlos de Mattos; Cinara Cássia Brandão de Mattos (2023). Frequency of weight at birth and serological profiles for T. gondii, São José do Rio Preto, São Paulo. [Dataset]. http://doi.org/10.1371/journal.pone.0132719.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariana Machado Lemos Fochi; Sabrina Baring; Lígia Cosentino Junqueira Franco Spegiorin; Denise Cristina Mós Vaz-Oliani; Eloisa Aparecida Galão; Antonio Hélio Oliani; Luiz Carlos de Mattos; Cinara Cássia Brandão de Mattos
    License

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

    Area covered
    São José do Rio Preto, State of São Paulo
    Description

    Frequency of weight at birth and serological profiles for T. gondii, São José do Rio Preto, São Paulo.

  10. f

    Data from: Association between Caffeine Consumption in Pregnancy and Low...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Fernanda Pino Vitti; Carlos Grandi; Ricardo de Carvalho Cavalli; Vanda Maria Ferreira Simões; Rosângela Fernandes Lucena Batista; Viviane Cunha Cardoso (2023). Association between Caffeine Consumption in Pregnancy and Low Birth Weight and Preterm Birth in the birth Cohort of Ribeirão Preto [Dataset]. http://doi.org/10.6084/m9.figshare.7677335.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Fernanda Pino Vitti; Carlos Grandi; Ricardo de Carvalho Cavalli; Vanda Maria Ferreira Simões; Rosângela Fernandes Lucena Batista; Viviane Cunha Cardoso
    License

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

    Area covered
    Ribeirao Preto
    Description

    Abstract Objective To describe caffeine consumption during pregnancy and its association with low birth weight (LBW) and preterm birth in the birth cohort of Ribeirão Preto, state of São Paulo, Brazil, in 2010. Methods Cohort study, with descriptive and analytical approach. Data included 7,607 women and their newborns in Ribeirão Preto, state of São Paulo, Brazil. The women answered standardized questionnaires about reproductive health, prenatal care, life habits, sociodemographic conditions, and information about coffee intake. The independent variable was high caffeine consumption (≥300 mg/day) from coffee during pregnancy, and the dependent variables were LBW (birth weight < 2,500 g) and preterm birth (< 37 weeks of gestational age). Four adjusted polytomous logistic regression models, relative risk (RR) and 95% confidence interval (CI) were fitted: biological and sociodemographic conditions; obstetric history; current gestational conditions; and all variables included in the previous models. Results A total of 4,908 (64.5%) mothers consumed caffeine, 143 (2.9%) of whom reported high consumption. High caffeine intake was significantly associated with reduced education and with the occupation of the head of the family, nonwhite skin color, not having a partner, higher parity, previous abortion and preterm birth, urinary tract infection, threatened abortion, alcohol consumption and smoking. No association was found between high caffeine consumption and LBW or preterm birth in both Conclusion In this cohort, high caffeine intake was lower than in other studies and no association with LBW or preterm birth was found.

  11. Pesquisa Nacional por Amostra de Domicílios 1981 - Brazil

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
    + more versions
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    Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics Foundation) (2019). Pesquisa Nacional por Amostra de Domicílios 1981 - Brazil [Dataset]. https://dev.ihsn.org/nada/catalog/74552
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    Dataset updated
    Apr 25, 2019
    Dataset provided by
    Brazilian Institute of Geography and Statisticshttps://www.ibge.gov.br/
    Diretoria de Pesquisas - Coord. de Trabalho e Rendimento (DPE/COREN)
    Time period covered
    1981
    Area covered
    Brazil
    Description

    Abstract

    The National Household Survey - PNAD investigates annuall and permanently, general characteristics of the population, education , labor, income and housing, and others with varying regularity, according to the information needs for the country. Topics include characteristics on migration, fertility , marriage, health, food security, among other topics. The survey of these statistics is an important instrument for the formulation, validation and evaluation of policies to socio-economic development and the improvement of living conditions in Brazil.

    Geographic coverage

    National

    Analysis unit

    • Households
    • Individuals

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The survey is conducted by a random sample of households. The information is provided by person resident or non-resident, considered capable of providing information for the whole neighborhood and the home. The interviewer is instructed not to accept a person under 14 years of age as an informant. The sampling plan uses cluster sampling, self-weighted in three stages (respectively municipalities, census tracts and households) with geographical stratification of the units of the first stage set for each state. The large municipalities in terms of population and those belonging to the metropolitan areas were each treated as a stratum and therefore included in the sample with certainty, being called autorrepresentativos. The other municipalities within the same geographic microregion were grouped into strata of approximately equal size, and designated non autorrepresentativos. Strata in these municipalities were selected systematically with probability proportional to size (ppt).

    Sectors are the unit of selection in the second stage and also are selected systematically and ppt, in which case the size is measured by the number of households. The sectors were stratified according to the situation of urban and rural states of the northern region, except for Tocantins, to allow comparison of indicators from PNADs after 2004 with those performed before insertion of the rural area of the northern states. In other regions this stratification is only implicit, ie, there is an ordering for the situation of the sector before the systematic selection. Municipalities and selected sectors are kept in the sample until they are available new Census data, when they are selected new units for the sample.

    Each year, in each sector selected for the sample is prepared (or updated) in the field a listing of households, producing an updated register for selection. An important characteristic of this listing operation refers to the Register of New Buildings, which is prepared to contain the buildings account for large changes in the sizes of sectors. The inventory of new construction is done in the municipalities of the sample, both in the sectors selected for the sample as those not selected. An area of new construction is excluded from the area of the original sector and is dealt with separately at the time of selection of households in this case is performed according to the sample fraction of the area. Households, which are units of the third selection stage, are formed by private households and the housing units in collective households occupied during the listing operation. The initial number of households per sector in the sample was set at 16. The sampling fraction indicates the proportion of the population constituting the sample. Currently fractions ranging from 1/50 (rural area of Roraima) to 1/800 (Sao Paulo). How the selection of households in each selected sector for the sample is done systematically to ensure self-weighting sample, the selection range of households remains fixed from year to year. This procedure entails an annual increase in the number of households in the sample, it depends on the number of households upgraded the sector by listing operation. In PNAD 2008, approximately 151,000 households were selected. The final size of the sample of PNAD 2009 was approximately 851 municipalities, 7818 153837 sectors and households. In 2007 PNAD introduced the use of electronic collector ( Personal Digital Assistant - PDA) for carrying out data collection, making it possible to improve the research operating system. Also during PNAD 2007 the DIA system was used, which is an imputation system that automatically detects qualitative data errors. Developed by the National Institute of Statistics - INE of Spain, the software aims to facilitate debugging censuses and large statistical research. In this first year of use of the application, all steps of criticism usually applied to data from the National Household Survey core questionnaire were performed, followed by a process of simultaneous validation of the data collected. In 2008 PNAD used only the Canadian Census Edit and Imputation System - CANCEIS already including the procedures usually applied to critical data from the questionnaires. Starting from PNAD 2011 sample selection of Rondônia, Acre, Amazonas, Roraima, Pará and Amapá followed the same methodology in other units of the Federation.

    Mode of data collection

    Face-to-face [f2f]

  12. EMBRAPA FLORESTAS | Soil macrofauna community in a site with high and low...

    • gbif.org
    Updated Dec 12, 2024
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    George Brown; Amarildo Pasini; Vanesca Korasaki; Lenita Oliveira; Cássio Matsumura; Wilian Demetrio; George Brown; Amarildo Pasini; Vanesca Korasaki; Lenita Oliveira; Cássio Matsumura; Wilian Demetrio (2024). EMBRAPA FLORESTAS | Soil macrofauna community in a site with high and low population of Scarab beetle larvae in Florínea, São Paulo, Brazil [Dataset]. http://doi.org/10.15468/6byztf
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    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Brazilian Agricultural Research Corporationhttp://embrapa.br/
    Authors
    George Brown; Amarildo Pasini; Vanesca Korasaki; Lenita Oliveira; Cássio Matsumura; Wilian Demetrio; George Brown; Amarildo Pasini; Vanesca Korasaki; Lenita Oliveira; Cássio Matsumura; Wilian Demetrio
    License

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

    Area covered
    Description

    The soil macrofauna community was assessed in a no-tillage annual grain production farm with areas having a high and low population of Scarab beetle larvae in Florínea, São Paulo state, Brazil. The site had been in maize production, and the sampling occurred after the maize harvest in March 2005, using the standard methodology of the Tropical Soil Biology and Fertility Programme (TSBF). Monoliths were hand-sorted for all litter and soil-dwelling taxa (down to 40 cm depth), and the abundance of a total of 42 taxa assessed.

  13. Data from: O ENSINO DA REPRODUÇÃO HUMANA, CONTROLE DA FERTILIDADE E DOS...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Ana Maria Canesqui (2023). O ENSINO DA REPRODUÇÃO HUMANA, CONTROLE DA FERTILIDADE E DOS ASSUNTOS POPULACIONAIS NAS FACULDADES DE MEDICINA DOS ESTADOS DE SÃO PAULO E RIO OE JANEIRO [Dataset]. http://doi.org/10.6084/m9.figshare.14279276.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Ana Maria Canesqui
    License

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

    Area covered
    São Paulo
    Description

    Abstract: This article analyse the teaching in the medical school of the following subjects: human reproduction, fertility regulation and population issues. Special attention is given to the teaching content, origin and alterations, and the departments engaged in the program. This work is based in a research made in 1982, studying 32 medical schools from the state of São Paulo and Rio de Janeiro. A comparative study is also performed with other researches in the area.

  14. e

    Manaus Forest Dynamics Plot, Brazil

    • knb.ecoinformatics.org
    Updated Sep 12, 2014
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    NCEAS 9762 : Center for Tropical Forest Science: Geographic distribution of tropical tree species; Alexandre de Oliveira (2014). Manaus Forest Dynamics Plot, Brazil [Dataset]. http://doi.org/10.5063/AA/nceas.326.7
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    Dataset updated
    Sep 12, 2014
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    NCEAS 9762 : Center for Tropical Forest Science: Geographic distribution of tropical tree species; Alexandre de Oliveira
    Time period covered
    Jan 1, 2005
    Area covered
    Description

    The Biological Dynamics of Forest Fragments Project, Instituto Nacional de Pesquisas da Amazonia, the Center for Tropical Forest Science, the Smithsonian Tropical Research Institute, Louisiana State University, and Universidad de Sao Paulo have initiated the establishment of a large-scale research plot in central Amazon near Manaus, Brazil. Topography shows an elevation range of 46 m. This plot is expected to be one of the most diverse in the CTFS network, comparable to the one in Yasuni, Ecuador, despite its location near the low end of the spectrum of soil fertility across the Amazon Basin.

  15. f

    Comparison of mean serum 25(OH)D concentrations of healthy infants attended...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 12, 2018
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    Almeida, Ane Cristina Fayão; Monteiro, Jacqueline Pontes; Ferraz, Ivan Savioli; de Paula, Francisco José Albuquerque; Del Ciampo, Luiz Antonio; Nogueira-de-Almeida, Carlos Alberto; Aragon, Davi Casale (2018). Comparison of mean serum 25(OH)D concentrations of healthy infants attended at two Primary Health Care Units according to seasons, age, sex, monthly family income, birth weight and nutritional status (Ribeirão Preto, São Paulo, Brazil, 2014–2015). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000630724
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    Dataset updated
    Apr 12, 2018
    Authors
    Almeida, Ane Cristina Fayão; Monteiro, Jacqueline Pontes; Ferraz, Ivan Savioli; de Paula, Francisco José Albuquerque; Del Ciampo, Luiz Antonio; Nogueira-de-Almeida, Carlos Alberto; Aragon, Davi Casale
    Description

    Comparison of mean serum 25(OH)D concentrations of healthy infants attended at two Primary Health Care Units according to seasons, age, sex, monthly family income, birth weight and nutritional status (Ribeirão Preto, São Paulo, Brazil, 2014–2015).

  16. e

    Manaus Forest Dynamics Plot

    • knb.ecoinformatics.org
    Updated Aug 14, 2015
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    NCEAS 9762 : Condit: Geographic distribution of neotropical tree species; Alexandre de Oliveira (2015). Manaus Forest Dynamics Plot [Dataset]. http://doi.org/10.5063/AA/nceas.326.4
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    Dataset updated
    Aug 14, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    NCEAS 9762 : Condit: Geographic distribution of neotropical tree species; Alexandre de Oliveira
    Time period covered
    Jan 1, 2005
    Area covered
    Description

    The Biological Dynamics of Forest Fragments Project, Instituto Nacional de Pesquisas da Amazonia, the Center for Tropical Forest Science, the Smithsonian Tropical Research Institute, Louisiana State University, and Universidad de Sao Paulo have initiated the establishment of a large-scale research plot in central Amazon near Manaus, Brazil. Topography shows an elevation range of 46 m. This plot is expected to be one of the most diverse in the CTFS network, comparable to the one in Yasuni, Ecuador, despite its location near the low end of the spectrum of soil fertility across the Amazon Basin.

  17. Serological profile of pregnant women seen at the Clinic of High Risk...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Mariana Machado Lemos Fochi; Sabrina Baring; Lígia Cosentino Junqueira Franco Spegiorin; Denise Cristina Mós Vaz-Oliani; Eloisa Aparecida Galão; Antonio Hélio Oliani; Luiz Carlos de Mattos; Cinara Cássia Brandão de Mattos (2023). Serological profile of pregnant women seen at the Clinic of High Risk Pregnancy and Fetal Medicine of Hospital de Base de São José do Rio Preto, São Paulo, Brazil from 2005 to 2007. [Dataset]. http://doi.org/10.1371/journal.pone.0132719.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariana Machado Lemos Fochi; Sabrina Baring; Lígia Cosentino Junqueira Franco Spegiorin; Denise Cristina Mós Vaz-Oliani; Eloisa Aparecida Galão; Antonio Hélio Oliani; Luiz Carlos de Mattos; Cinara Cássia Brandão de Mattos
    License

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

    Area covered
    São José do Rio Preto, Brazil, State of São Paulo
    Description

    (+) = positive; (-) = negative.Serological profile of pregnant women seen at the Clinic of High Risk Pregnancy and Fetal Medicine of Hospital de Base de São José do Rio Preto, São Paulo, Brazil from 2005 to 2007.

  18. f

    Annual number of live births and proportions according to maternal...

    • figshare.com
    xls
    Updated Sep 8, 2025
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    Margarida Maria Tenório de Azevedo Lira; Marina de Freitas; Eliana de Aquino Bonilha; Célia Maria Castex Aly; Patrícia Carla dos Santos; Denise Yoshie Niy; Carmen Simone Grilo Diniz (2025). Annual number of live births and proportions according to maternal sociodemographic and birth characteristics. City of São Paulo, Brazil, 2012–2019. [Dataset]. http://doi.org/10.1371/journal.pone.0319307.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Margarida Maria Tenório de Azevedo Lira; Marina de Freitas; Eliana de Aquino Bonilha; Célia Maria Castex Aly; Patrícia Carla dos Santos; Denise Yoshie Niy; Carmen Simone Grilo Diniz
    License

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

    Area covered
    Brazil, São Paulo
    Description

    Annual number of live births and proportions according to maternal sociodemographic and birth characteristics. City of São Paulo, Brazil, 2012–2019.

  19. f

    Data from: Reproductive biology of the Brazilian blind electric ray...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Mariana F. Martins; Otto B. F. Gadig (2023). Reproductive biology of the Brazilian blind electric ray Benthobatis kreffti (Chondrichthyes: Narcinidae) [Dataset]. http://doi.org/10.6084/m9.figshare.8092376.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Mariana F. Martins; Otto B. F. Gadig
    License

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

    Description

    ABSTRACT This study provides information on the reproductive biology of the Brazilian blind electric ray Benthobatis kreffti, endemic to southern and southeastern Brazil. Individuals were caught by bottom trawl carried out in 2003 and 2007, at 492-501 m depth off the São Paulo State continental slope. A total of 152 females (115-299 mm) and 144 males (91-243 mm) were sampled. Maturity was first observed at 177 and 162 mm, with total length at 50% maturity of 191 and 176 mm in females and males respectively. Uterine fecundity ranged from 1-3 and was not related to female total length. Size at birth estimated from the largest near-term observed embryos and smallest free-swimming ray was 91-100 mm. The low fecundity observed is typical of deepwater elasmobranch species, as well as late maturity in comparison with costal species. The relatively large size-at-birth suggests that this species invests more in length of each embryo than in litter size, increasing the offspring’s survival chance. In this context, these parameters highlight the vulnerability of this and other deepwater species to non-natural death, mostly caused by deep-sea fisheries.

  20. EMBRAPA FLORESTAS | Soil macrofauna communities in native Atlantic Forest...

    • gbif.org
    Updated Dec 12, 2024
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    Wagner Maschio; Carlos E.S. Seoane; Luiz C.M. Froufe; Amilton João Baggio; Quentin Gabriac; Wagner Maschio; Carlos E.S. Seoane; Luiz C.M. Froufe; Amilton João Baggio; Quentin Gabriac (2024). EMBRAPA FLORESTAS | Soil macrofauna communities in native Atlantic Forest fragments and agroforestry systems of different ages the Ribeira River Valley, Brazil [Dataset]. http://doi.org/10.15468/h6m947
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    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Brazilian Agricultural Research Corporationhttp://embrapa.br/
    GBIF
    Authors
    Wagner Maschio; Carlos E.S. Seoane; Luiz C.M. Froufe; Amilton João Baggio; Quentin Gabriac; Wagner Maschio; Carlos E.S. Seoane; Luiz C.M. Froufe; Amilton João Baggio; Quentin Gabriac
    License

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

    Area covered
    Description

    Soil macrofauna communities were evaluated in a three Atlantic Forest fragments at different stages of regeneration, and in three organic agroforestry systems of different ages in the Ribeira River Valley, Brazil. Sampling was performed in March and August of 2008 in six sites, five of which were located in Barra do Turvo county in São Paulo state, and one in Adrianópolis county in Paraná state. The sites in Barra do Turvo were: a 5, 20 and >30-year-old Atlantic Forest regeneration fragment, and a 4- and 16-year-old organic agroforestry system. In Adrianópolis, only an 8-year-old organic agroforestry system was sampled. Each land use was replicated three times and two samples were taken per plot. Samples were taken using the standard methodology of the Tropical Soil Biology and Fertility Programme (TSBF), where soil (down to 20 cm depth) and litter fauna were hand-sorted from monoliths of 25x25 cm, and the abundance of a total of 42 taxa was assessed.

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CEICdata.com (2025). Brazil Fertility Rate: Southeast: São Paulo [Dataset]. https://www.ceicdata.com/en/brazil/fertility-rate/fertility-rate-southeast-so-paulo

Brazil Fertility Rate: Southeast: São Paulo

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Dataset updated
Feb 15, 2025
Dataset provided by
CEICdata.com
License

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

Time period covered
Sep 1, 2003 - Sep 1, 2015
Area covered
Brazil
Variables measured
Vital Statistics
Description

Brazil Fertility Rate: Southeast: São Paulo data was reported at 1.590 NA in 2015. This records a decrease from the previous number of 1.610 NA for 2014. Brazil Fertility Rate: Southeast: São Paulo data is updated yearly, averaging 1.770 NA from Sep 2001 (Median) to 2015, with 14 observations. The data reached an all-time high of 2.110 NA in 2003 and a record low of 1.590 NA in 2015. Brazil Fertility Rate: Southeast: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE002: Fertility Rate. Information relating to the year 2011 will be updated by the source (IBGE) until July 2013.

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