-
Federal
EnviroAtlas - Landcover Summaries by Block Group for Guam
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census block group in Guam that is classified as Canopy, Impervious Surface, and... -
Federal
EnviroAtlas - Landcover Summaries by Place for the Northern Mariana Islands
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census place in the Commonwealth of the Northern Mariana Islands (CNMI) that is classified... -
Federal
Omaha Property Values and GI
U.S. Environmental Protection Agency —
In Omaha, NE, more than 25 GI projects have been completed to date, with several featuring GI practices in public parks. Using a repeat sales model , we examined the... -
Federal
EnviroAtlas - Water Balance and Surficial Groundwater by 12-digit HUC for the Conterminous United States
U.S. Environmental Protection Agency —
This EnviroAtlas dataset summarizes several U.S. Geological Survey (USGS) water budget and surficial groundwater datasets by 12-digit HUC. It includes average rates... -
Federal
EnviroAtlas - Landcover Summaries by Block Group for the Northern Mariana Islands
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census block group in the Commonwealth of the Northern Mariana Islands (CNMI) that is... -
Federal
WDS Hydraulics and WQ Uncertainty Dataset
U.S. Environmental Protection Agency —
The GitHub site has the dataset used to create the manuscript figures, which examined which simulation parameters influenced the spread of contamination within a... -
Federal
Source Strength Functions from Long-Term Monitoring Data and Spatially Distributed Mass Discharge Measurements
U.S. Environmental Protection Agency —
Source strength functions (SSF), defined as contaminant mass discharge or flux-averaged concentration from dense nonaqueous phase liquid (DNAPL) source zones as a... -
Federal
Water quality modeling in the dead end sections of drinking water (Supplement)
U.S. Environmental Protection Agency —
Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to... -
Federal
EnviroAtlas - Landcover Summaries by Place for American Samoa
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census place in American Samoa that is classified as Canopy, Impervious Surface, and... -
Federal
Modeling Spatiotemporal Patterns of Ecosystem Metabolism and Organic Carbon Dynamics Affecting Hypoxia on the Louisiana Continental Shelf.
U.S. Environmental Protection Agency —
These data include field observations from Northern Gulf of Mexico research surveys, as well as hydrodynamic and water quality model data generated by the Coastal... -
Federal
Data on Mineral-Organic Interactions in PFAS Retention by AFFF Impacted Soil
U.S. Environmental Protection Agency —
Data were collected to develop a comprehensive, generalized approach to predict the retention of per- and polyfluoroalkyl substances (PFAS) from aqueous film forming... -
Federal
EnviroAtlas - Landcover Summaries by Block Group for American Samoa
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census block group in American Samoa that is classified as Canopy, Impervious Surface, and... -
Federal
Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system -- Full Dataset
U.S. Environmental Protection Agency —
Data for manuscript titled, "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system". The data is... -
Federal
EnviroAtlas - Landcover Summaries by Place for Guam
U.S. Environmental Protection Agency —
This EnviroAtlas dataset represents the percentage of land area within each census place in Guam that is classified as Canopy, Impervious Surface, and Vegetation...