2 datasets found
  1. g

    Modeling data and data for figures and text | gimi9.com

    • gimi9.com
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    Modeling data and data for figures and text | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_modeling-data-and-data-for-figures-and-text
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    Description

    The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript. To open this data file, use the following commands in R. load(‘JKelly_NH4NO3_JGR_2018.rdata’) To list the contents of the file, use the following command in R ls() The data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command. The original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times. This dataset is associated with the following publication: Kelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).

  2. d

    Modeling data and data for figures and text

    • datasets.ai
    • catalog.data.gov
    10, 57
    Updated Aug 27, 2024
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    U.S. Environmental Protection Agency (2024). Modeling data and data for figures and text [Dataset]. https://datasets.ai/datasets/modeling-data-and-data-for-figures-and-text
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    10, 57Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    U.S. Environmental Protection Agency
    Description

    The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript.

    To open this data file, use the following commands in R.

    load(‘JKelly_NH4NO3_JGR_2018.rdata’)

    To list the contents of the file, use the following command in R

    ls()

    The data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command.

    The original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times.

    This dataset is associated with the following publication: Kelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).

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Modeling data and data for figures and text | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_modeling-data-and-data-for-figures-and-text

Modeling data and data for figures and text | gimi9.com

Explore at:
Description

The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript. To open this data file, use the following commands in R. load(‘JKelly_NH4NO3_JGR_2018.rdata’) To list the contents of the file, use the following command in R ls() The data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command. The original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times. This dataset is associated with the following publication: Kelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).

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