Baselight is shutting down June 30.
Export any data that you want to keep. Read the announcement.
U.S. Environmental Protection Agency
Dataset Description
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).
Organization: U.S. Environmental Protection Agency
Organization URL: https://catalog.data.gov/organization/epa
Last updated: 2023-06-16
Tags: Lake water quality, Multilinear regression, Nitrogen and Co-pollutants, phosphorus, random forest modeling