Search Data.gov
Found 793 dataset(s) matching "southeast united states".
-
Natural land cover can remove pollutants from runoff water by slowing water flow and physically trapping suspended particles. We identified natural land cover in the Southeast US potentially...
-
Wild insect pollination has significant positive effects on pollinator-dependent crop production. To assess the spatial distribution of potential wild insect pollination, we mapped the supply of...
-
Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close...
-
Natural land cover can remove pollutants from runoff water by slowing water flow and physically trapping suspended particles. We identified natural land cover in the Southeast US potentially...
-
Policy-relevant flood risk modeling must capture interactions between physical and social processes to accurately project impacts from scenarios of sea level rise and inland flooding due to...
-
Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close...
-
USGS’s Southeast Climate Adaptation Science Center and the University of Tennessee, Knoxville have launched a research effort to support southeastern states and other partners engaged in the...
-
This child item includes a set of four RSPARROW models that were converted from SAS-based SAS-based SPARROW models to estimate streamflow, total nitrogen, total phosphorus, and suspended-sediment...
-
This data release contains processed scan data from the Active Canopy Sensor (ACS) -214 proximal sensing instrument associated with 1242 cover crop biomass samples from 2020 - 2024 across 13...
-
The files in this data release (Kellogg and Voelschow, 2023) contain normalized microarray probe intensity values from GeoChip 5.0S microarrays referenced in the journal article entitled...
-
The files provided in this U.S. Geological Survey (USGS) data release (Kellogg and Voelschow, 2021) are the raw DNA sequence files referenced in the associated journal article (Kellogg and Pratte,...
-
Ecosystems benefit people in many ways, but these contributions do not appear in traditional national or corporate accounts so are often left out of policy- and decision-making. Ecosystem...
-
The USGS Spatially Referenced Regression on Watershed attributes (SPARROW) model is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and...
-
This collection comprises the Environmental Sensitivity Index (ESI) data for various regions in U.S. coastal waters. ESI data characterize estuarine environments and wildlife by their sensitivity...
-
The North American Amphibian Monitoring Program (NAAMP) was a collaborative citizen science effort between the US Geological Survey (USGS) and 26 Partners (state agencies, universities, and...
-
Summary of streamflow statistics for USGS streamgages in the southeastern United States: 1950 - 2010
This dataset contains statistical descriptions of observed daily-mean streamflow for 956 sites in the southeast United States. For each site, statistical descriptions are provided according to...
-
The National Park Service (NPS) operates 32 Inventory & Monitoring (I&M) networks across the United States encompassing over 280 parks. Each I&M network has established "vital signs" monitoring...
-
The National Park Service (NPS) operates 32 Inventory & Monitoring (I&M) networks across the United States encompassing over 280 parks. Each I&M network implements a "vital signs" monitoring...
-
The National Park Service (NPS) operates 32 Inventory and Monitoring (I&M) networks across the United States encompassing over 280 parks. Each Inventory and monitoring network has established...
-
On the continental scale, climate is an important determinant of the distributions of plant taxa and ecoregions. To quantify and depict the relations between specific climate variables and these...