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).
Resources
6 resources available
-
HUC8_2007_7_Average_MaxDepth.csv
TEXT/CSV -
HUC8_2007_7_Average_MaxDepth2.csv
TEXT/CSV -
LAGOS_Data_5000Rows.csv
TEXT/CSV -
LAGOS_Data_Reduced.csv
TEXT/CSV -
LAGOS_Full_Variables.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
Table_S1_LAGOS_Full_Variables.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Michael Pennino",
"hasEmail": "mailto:pennino.michael@epa.gov"
}
|
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1529141/documents/Table_S1_LAGOS_Full_Variables.xlsx |
| describedByType | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| 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). |
| distribution |
[
{
"title": "HUC8_2007_7_Average_MaxDepth.csv",
"mediaType": "text/csv",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/HUC8_2007_7_Average_MaxDepth.csv"
},
{
"title": "HUC8_2007_7_Average_MaxDepth2.csv",
"mediaType": "text/csv",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/HUC8_2007_7_Average_MaxDepth2.csv"
},
{
"title": "LAGOS_Data_5000Rows.csv",
"mediaType": "text/csv",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Data_5000Rows.csv"
},
{
"title": "LAGOS_Data_Reduced.csv",
"mediaType": "text/csv",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Data_Reduced.csv"
},
{
"title": "LAGOS_Full_Variables.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Full_Variables.xlsx"
},
{
"title": "Table_S1_LAGOS_Full_Variables.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/Table_S1_LAGOS_Full_Variables.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1529141 |
| keyword |
[
"Lake water quality",
"Multilinear regression",
"Nitrogen and Co-pollutants",
"phosphorus",
"random forest modeling"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-06-16 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1016/j.envsoft.2023.105853"
]
|
| rights |
null
|
| title | Nutrient Explorer Application Default Datasets from LAGOS-NE and National Nutrient Inventories |
