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Nutrient Explorer Application Default Datasets from LAGOS-NE and National Nutrient Inventories
This dataset contains the default data provided with the Nutrient Explorer Downloadable application (SI: https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=CPHEA&dirEntryId=358039), which is used for testing out the features and capabilities of the app. The dataset is based off of LAGOS-NE, lake total nitrogen and total phosphorus concentration data from lakes in the Northeast United States and is combined with a number of explanatory variables such as geology, land use, climate, nutrient inputs, and lake characteristics. Portions of this dataset are inaccessible because: The *.RData format is not allowed to be uploaded on ScienceHub (see above response). They can be accessed through the following means: The *.RData files can be accessed when the user downloaded the NutrientExplorer application zip files on the ScienceInventory link: https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=CPHEA&dirEntryId=358039.
The user need to have RStudio installed to open the application and be able to use the RData files. Format: Some of the data files associated with the Nutrient Explorer application are in the *.RData format, which can not be uploaded to ScienceHub. These files include hydrologic unit (HU8) watershed shapefiles and some datasets similar to the *.csv files uploaded here containing variables used for testing out the application's features.
This dataset is associated with the following publication:
Pennino, M., M. Fry, R. Sabo, and J. Carleton. Nutrient Explorer: An analytical framework to visualize and investigate drivers of surface water quality. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 170: 105853, (2023).
Complete Metadata
| bureauCode |
[ "020:00" ] |
|---|---|
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1529141/documents/Table_S1_LAGOS_Full_Variables.xlsx |
| describedByType | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| identifier | https://doi.org/10.23719/1529141 |
| programCode |
[ "020:000" ] |
| references |
[ "https://doi.org/10.1016/j.envsoft.2023.105853" ] |
| rights | null |