5 datasets found
  1. 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.

  2. c

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

    • s.cnmilf.com
    • datasets.ai
    • +6more
    Updated Apr 24, 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
    Apr 24, 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.

  3. 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
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    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.

  4. 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
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    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.

  5. f

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

    • plos.figshare.com
    • figshare.com
    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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Leonardo Barleta (2018). Diachronic Maps [Dataset]. http://doi.org/10.6084/m9.figshare.6790028.v1

Diachronic Maps

Explore at:
169 scholarly articles cite this dataset (View in Google Scholar)
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.

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