8 datasets found
  1. Brazil: High Resolution Population Density Maps + Demographic Estimates

    • data.amerigeoss.org
    csv, geotiff
    Updated Apr 15, 2025
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    UN Humanitarian Data Exchange (2025). Brazil: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/de/dataset/brazil-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    geotiff(110415094), geotiff(53696568), csv(167995144), geotiff(53687525), geotiff(20527208), geotiff(13788066), geotiff(20592988), geotiff(13785558), csv(167555636), geotiff(53696846), csv(167160795), csv(167984760), geotiff(25345183), geotiff(20598731), geotiff(110615742), csv(167165635), geotiff(35977556), geotiff(16276688), csv(48197684), geotiff(13783746), csv(167806561), geotiff(53635346), csv(14118883), geotiff(110260419), geotiff(110645235), geotiff(7595474), geotiff(53692216), geotiff(13727832), geotiff(110622686), geotiff(53644261), geotiff(13764896), geotiff(20609045), csv(166865399), geotiff(110574729), geotiff(13749571), csv(74703100), geotiff(20556531), geotiff(20605325)Available download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    Brazil
    Description

    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Brazil: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

  2. W

    Brazil: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Brazil: High Resolution Population Density Maps + Demographic Estimates [Dataset]. http://cloud.csiss.gmu.edu/uddi/id/dataset/c17003d1-47f4-4ec5-8229-2f77aeb114be
    Explore at:
    zip(13749571), zip(110645235), zip(25345183), zip(167806561), zip(53687525), zip(13764896), zip(16276688), zip(48197684), zip(110574729), zip(53696568), zip(20605325), zip(53692216), zip(13788066), zip(13727832), zip(167984760), zip(110415094), zip(14118883), zip(20556531), zip(53696846), zip(74703100), zip(20609045), zip(35977556), zip(20592988), zip(53635346), zip(167160795), zip(13783746), zip(13785558), zip(53644261), zip(20598731), zip(167165635), zip(110615742), zip(7595474), zip(166865399), zip(20527208), zip(110260419), zip(167995144), zip(167555636)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Area covered
    Brazil
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  3. f

    Diachronic Maps

    • figshare.com
    jpeg
    Updated Jul 7, 2018
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    Leonardo Barleta (2018). Diachronic Maps [Dataset]. http://doi.org/10.6084/m9.figshare.6790028.v1
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    jpegAvailable download formats
    Dataset updated
    Jul 7, 2018
    Dataset provided by
    figshare
    Authors
    Leonardo Barleta
    License

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

    Description

    These maps represent a modeled distribution of population based on the nominal censuses of the town of Curitiba and adjacent towns. Classification of data is normalized for each category to allow comparison between different periods of time.

  4. c

    Data from: LBA-ECO ND-01 Streamwater and Watershed Characteristics,...

    • s.cnmilf.com
    • datasets.ai
    • +9more
    Updated Jun 28, 2025
    + more versions
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    ORNL_DAAC (2025). LBA-ECO ND-01 Streamwater and Watershed Characteristics, Rondonia, Brazil: 1998-1999 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/lba-eco-nd-01-streamwater-and-watershed-characteristics-rondonia-brazil-1998-1999-f015e
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    ORNL_DAAC
    Area covered
    Brazil, State of Rondônia
    Description

    This data set provides the results of (1) synoptic streamwater sampling and analyses from numerous sites across Rondonia and (2) corresponding watershed characteristics derived from remote sensing and historical/available data sources. Sixty streams, in both forested and non-forested sites, were sampled once during the dry season in August of 1998 and 49 of the same streams were sampled again during the wet season in January-February of 1999. Analyses included sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), silica (Si), chloride (Cl), sulfate, pH, and acid neutralizing capacity. Watershed characteristics, including soil cation content, pH, watershed lithology, area, percent deforested, and urban watershed population density, were derived and calculated from digitized soil maps and available soil profile analyses, digitized topographic maps, land use mosaics from Landsat Thematic Mapper (TM) images, and Brazilian census data. The objective of the study was to determine the relative influence of watershed soil exchangeable cation content, rock type, deforestation, and urban population density on stream concentrations of base cations, dissolved silicon, chloride and sulfate in both the dry and wet seasons in a humid tropical region undergoing regional land use transformation. There are three comma-delimited data files with this data set.

  5. f

    Demographic and Spatial datasets

    • figshare.com
    bin
    Updated Jul 7, 2018
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    Leonardo Barleta (2018). Demographic and Spatial datasets [Dataset]. http://doi.org/10.6084/m9.figshare.6790031.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 7, 2018
    Dataset provided by
    figshare
    Authors
    Leonardo Barleta
    License

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

    Description

    This record contains the base datasets used in the research to create the maps of distribution of population.

  6. g

    LBA-ECO ND-01 Streamwater and Watershed Characteristics, Rondonia, Brazil:...

    • gimi9.com
    Updated Jun 25, 2025
    + more versions
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    (2025). LBA-ECO ND-01 Streamwater and Watershed Characteristics, Rondonia, Brazil: 1998-1999 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_lba-eco-nd-01-streamwater-and-watershed-characteristics-rondonia-brazil-1998-1999-f015e/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Area covered
    State of Rondônia, Brazil
    Description

    This data set provides the results of (1) synoptic streamwater sampling and analyses from numerous sites across Rondonia and (2) corresponding watershed characteristics derived from remote sensing and historical/available data sources. Sixty streams, in both forested and non-forested sites, were sampled once during the dry season in August of 1998 and 49 of the same streams were sampled again during the wet season in January-February of 1999. Analyses included sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), silica (Si), chloride (Cl), sulfate, pH, and acid neutralizing capacity. Watershed characteristics, including soil cation content, pH, watershed lithology, area, percent deforested, and urban watershed population density, were derived and calculated from digitized soil maps and available soil profile analyses, digitized topographic maps, land use mosaics from Landsat Thematic Mapper (TM) images, and Brazilian census data. The objective of the study was to determine the relative influence of watershed soil exchangeable cation content, rock type, deforestation, and urban population density on stream concentrations of base cations, dissolved silicon, chloride and sulfate in both the dry and wet seasons in a humid tropical region undergoing regional land use transformation. There are three comma-delimited data files with this data set.

  7. f

    Description of maps utilized within the exploratory data analysis of...

    • plos.figshare.com
    xls
    Updated Apr 3, 2024
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    Yannik Roell; Laura Pezzi; Anyela Lozano-Parra; Daniel Olson; Jane Messina; Talia Quandelacy; Jan Felix Drexler; Oliver Brady; Morteza Karimzadeh; Thomas Jaenisch (2024). Description of maps utilized within the exploratory data analysis of clusters. [Dataset]. http://doi.org/10.1371/journal.pntd.0012017.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Yannik Roell; Laura Pezzi; Anyela Lozano-Parra; Daniel Olson; Jane Messina; Talia Quandelacy; Jan Felix Drexler; Oliver Brady; Morteza Karimzadeh; Thomas Jaenisch
    License

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

    Description

    Description of maps utilized within the exploratory data analysis of clusters.

  8. f

    The dataset generated from extracting data from seroprevalence studies and...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xlsx
    Updated Apr 3, 2024
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    Yannik Roell; Laura Pezzi; Anyela Lozano-Parra; Daniel Olson; Jane Messina; Talia Quandelacy; Jan Felix Drexler; Oliver Brady; Morteza Karimzadeh; Thomas Jaenisch (2024). The dataset generated from extracting data from seroprevalence studies and values from associated maps (minimal data set for analysis). [Dataset]. http://doi.org/10.1371/journal.pntd.0012017.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Yannik Roell; Laura Pezzi; Anyela Lozano-Parra; Daniel Olson; Jane Messina; Talia Quandelacy; Jan Felix Drexler; Oliver Brady; Morteza Karimzadeh; Thomas Jaenisch
    License

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

    Description

    The dataset generated from extracting data from seroprevalence studies and values from associated maps (minimal data set for analysis).

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UN Humanitarian Data Exchange (2025). Brazil: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/de/dataset/brazil-high-resolution-population-density-maps-demographic-estimates
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Brazil: High Resolution Population Density Maps + Demographic Estimates

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
geotiff(110415094), geotiff(53696568), csv(167995144), geotiff(53687525), geotiff(20527208), geotiff(13788066), geotiff(20592988), geotiff(13785558), csv(167555636), geotiff(53696846), csv(167160795), csv(167984760), geotiff(25345183), geotiff(20598731), geotiff(110615742), csv(167165635), geotiff(35977556), geotiff(16276688), csv(48197684), geotiff(13783746), csv(167806561), geotiff(53635346), csv(14118883), geotiff(110260419), geotiff(110645235), geotiff(7595474), geotiff(53692216), geotiff(13727832), geotiff(110622686), geotiff(53644261), geotiff(13764896), geotiff(20609045), csv(166865399), geotiff(110574729), geotiff(13749571), csv(74703100), geotiff(20556531), geotiff(20605325)Available download formats
Dataset updated
Apr 15, 2025
Dataset provided by
United Nationshttp://un.org/
License

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

Area covered
Brazil
Description

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Brazil: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

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