Data and code from: A natural polymer material as a pesticide adjuvant for mitigating off-target drift and protecting pollinator health
This dataset contains all data and code required to clean the data, fit the models, and create the figures and tables for the laboratory experiment portion of the manuscript:Kannan, N., Q. D. Read, and W. Zhang. 2024. A natural polymer material as a pesticide adjuvant for mitigating off-target drift and protecting pollinator health. Heliyon, in press. https://doi.org/10.1016/j.heliyon.2024.e35510.In this dataset, we archive results from several laboratory and field trials testing different adjuvants (spray additives) that are intended to reduce particle drift, increase particle size, and slow down the particles from pesticide spray nozzles. We fit statistical models to the droplet size and speed distribution data and statistically compare different metrics between the adjuvants (sodium alginate, polyacrylamide [PAM], and control without any adjuvants). The following files are included:RawDataPAMsodAlgOxfLsr.xlsx: Raw data for primary analysesOrganizedDataPaperRevision20240614.xlsx: Raw data to produce density plots presented in Figs. 8 and 9raw_data_readme.md: Markdown file with description of the raw data filesR_code_supplement.R: All R code required to reproduce primary analysesR_code_supplement2.R: R code required to produce density plots presented in Figs. 8 and 9Intermediate R output files are also included so that tables and figures can be recreated without having to rerun the data preprocessing, model fitting, and posterior estimation steps:pam_cleaned.RData: Data combined into clean R data frames for analysisvelocityscaledlogdiamfit.rds: Fitted **brms** model object for velocitylnormfitreduced.rds: Fitted **brms** model object for diameter distributionemm_con_velo_diam_draws.RData: Posterior distributions of estimated marginal means for velocityemm_con_draws.RData: Posterior distributions of estimated marginal means for diameter distributionThe following software and package versions were used:R version 4.3.1CmdStan version 2.33.1R packages:brms version 2.20.5cmdstanr version 0.5.3fitdistrplus version 1.1-11tidybayes version 3.0.4emmeans version 1.8.9
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"005:18"
]
|
| contactPoint |
{
"fn": "Read, Quentin D.",
"hasEmail": "mailto:quentin.read@usda.gov"
}
|
| description | <p dir="ltr">This dataset contains all data and code required to clean the data, fit the models, and create the figures and tables for the laboratory experiment portion of the manuscript:</p><p dir="ltr">Kannan, N., Q. D. Read, and W. Zhang. 2024. A natural polymer material as a pesticide adjuvant for mitigating off-target drift and protecting pollinator health. <i>Heliyon</i>, in press. https://doi.org/10.1016/j.heliyon.2024.e35510.</p><p dir="ltr">In this dataset, we archive results from several laboratory and field trials testing different adjuvants (spray additives) that are intended to reduce particle drift, increase particle size, and slow down the particles from pesticide spray nozzles. We fit statistical models to the droplet size and speed distribution data and statistically compare different metrics between the adjuvants (sodium alginate, polyacrylamide [PAM], and control without any adjuvants). </p><p dir="ltr">The following files are included:</p><ul><li>RawDataPAMsodAlgOxfLsr.xlsx: Raw data for primary analyses</li><li>OrganizedDataPaperRevision20240614.xlsx: Raw data to produce density plots presented in Figs. 8 and 9</li><li>raw_data_readme.md: Markdown file with description of the raw data files</li><li>R_code_supplement.R: All R code required to reproduce primary analyses</li><li>R_code_supplement2.R: R code required to produce density plots presented in Figs. 8 and 9</li></ul><p dir="ltr">Intermediate R output files are also included so that tables and figures can be recreated without having to rerun the data preprocessing, model fitting, and posterior estimation steps:</p><ul><li>pam_cleaned.RData: Data combined into clean R data frames for analysis</li><li>velocityscaledlogdiamfit.rds: Fitted **brms** model object for velocity</li><li>lnormfitreduced.rds: Fitted **brms** model object for diameter distribution</li><li>emm_con_velo_diam_draws.RData: Posterior distributions of estimated marginal means for velocity</li><li>emm_con_draws.RData: Posterior distributions of estimated marginal means for diameter distribution</li></ul><p dir="ltr">The following software and package versions were used:</p><ul><li>R version 4.3.1</li><li>CmdStan version 2.33.1</li><li>R packages:</li><li><ul><li>brms version 2.20.5</li><li>cmdstanr version 0.5.3</li><li>fitdistrplus version 1.1-11</li><li>tidybayes version 3.0.4</li><li>emmeans version 1.8.9</li></ul></li></ul><p><br></p> |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "velocityscaledlogdiamfit.rds",
"format": "rds",
"mediaType": "application/gzip",
"downloadURL": "https://ndownloader.figshare.com/files/43898349"
},
{
"@type": "dcat:Distribution",
"title": "lnormfitreduced.rds",
"format": "rds",
"mediaType": "application/gzip",
"downloadURL": "https://ndownloader.figshare.com/files/43898352"
},
{
"@type": "dcat:Distribution",
"title": "emm_con_velo_diam_draws.RData",
"format": "RData",
"mediaType": "application/gzip",
"downloadURL": "https://ndownloader.figshare.com/files/43898355"
},
{
"@type": "dcat:Distribution",
"title": "emm_con_draws.RData",
"format": "RData",
"mediaType": "application/gzip",
"downloadURL": "https://ndownloader.figshare.com/files/43898358"
},
{
"@type": "dcat:Distribution",
"title": "pam_cleaned.RData",
"format": "RData",
"mediaType": "application/gzip",
"downloadURL": "https://ndownloader.figshare.com/files/43898361"
},
{
"@type": "dcat:Distribution",
"title": "RawDataPAMsodAlgOxfLsr.xlsx",
"format": "xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://ndownloader.figshare.com/files/43898376"
},
{
"@type": "dcat:Distribution",
"title": "R_code_supplement.R",
"format": "R",
"mediaType": "text/plain",
"downloadURL": "https://ndownloader.figshare.com/files/45839109"
},
{
"@type": "dcat:Distribution",
"title": "OrganizedDataPaperRevision20240614.xlsx",
"format": "xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://ndownloader.figshare.com/files/48176743"
},
{
"@type": "dcat:Distribution",
"title": "R_code_supplement2.R",
"format": "R",
"mediaType": "text/plain",
"downloadURL": "https://ndownloader.figshare.com/files/48176746"
},
{
"@type": "dcat:Distribution",
"title": "raw_data_readme.md",
"format": "md",
"mediaType": "text/plain",
"downloadURL": "https://ndownloader.figshare.com/files/48176749"
}
]
|
| identifier | 10.15482/USDA.ADC/24938556.v1 |
| keyword |
[
"Lower Mississippi Delta",
"cotton",
"honeybee",
"pesticide",
"pesticide adjuvant",
"polyacrylamide",
"sodium alginate",
"soybean"
]
|
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-11-21 |
| programCode |
[
"005:040"
]
|
| publisher |
{
"name": "Agricultural Research Service",
"@type": "org:Organization"
}
|
| spatial |
"{"type": "Point", "coordinates": [-90.911355, 33.425133]}"
|
| temporal | 2022-08-01/2022-09-30 |
| title | Data and code from: A natural polymer material as a pesticide adjuvant for mitigating off-target drift and protecting pollinator health |
