Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale
Cite this dataset
Dronova, Iryna; Taddeo, Sophie; Harris, Kendall (2022). Auxiliary supplementary material for the study on plant diversity relationships with satellite-detected phenological variability in USA wetlands at a national scale [Dataset]. Dryad. https://doi.org/10.6078/D13T40
This dataset contains auxiliary data and supporting information for the research article by Iryna Dronova, Sophie Taddeo, and Kendall Harris "Plant diversity reduces satellite-observed phenological variability in wetlands at a national scale" for Science Advances (provisionally accepted in May 2022). It includes one Excel spreadsheet document with the main variables used in the study analyses (Data_S1_Regression_Dataset_v5_31_2022.xslx) and two ZIP files containing supporting information about two of those variables created in the custom way: phenological variability (PhenoVariability; workflow in Data_S2_Code_for_Custom_Variables.zip) and variation in land surface temperature (Var_LST; workflow in Data_S3_Code_for_Variability_LST.zip).
The main purpose of this dataset is to share the study's variables used in statistical analyses. The relevant variables are compiled in the Excel spreadsheet (Data_S1_Regression_Dataset_v5_31_2022.xslx), where each entry corresponds to an individual wetland site surveyed by the National Wetland Condition Assessment (NWCA) by the U.S. Environmental Protection Agency in 2011. A unique identifier (UID) of each wetland site is included to allow users to link to other NWCA databases for additional already published information if desired (NWCA database is available at the following website under Wetlands 2011 category: https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys).
Two supporting ZIP files (Data_S2_Code_for_Custom_Variables.zip and Data_S3_Code_for_Variability_LST.zip) contain README files, codes and code input data to allow for reproducibility of the custom-created variables that have been generated in this study and are not available in other databases.
This dataset includes three files listed in the Supplementary Materials document of the publication as follows:
Please refer to README_Master file with the information on README instructions and explanations for specific files in this dataset.
National Aeronautics and Space Administration, Award: 80NSSC18K0755