Search Data.gov
Found 1958 dataset(s) matching "scenario data".
-
A three-dimensional groundwater-flow model (MODFLOW-2000 ) of the Kirkwood-Cohansey aquifer system, Rio Grande water-bearing zone, and Atlantic City 800-foot sand in the Great Egg Harbor and...
-
This data set consists of physics-based Delft3D-FLOW and WAVE hydrodynamic model input files used for Coastal Storm Modeling System (CoSMoS) sub-regional tier 2 simulations. Sub-regional tier 2...
-
A coupled Delft3D hydrodynamic and Ecopath with Ecosim and Ecospace (EwE) food web modeling approach was used to demonstrate the range of temporal and spatial changes in water temperature,...
-
In September 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a data collection as part of its Nail to Nail (N2N) Fingerprint Challenge. Participating Challengers deployed...
-
This USGS data release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast...
-
Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that...
-
Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that...
-
Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that...
-
Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that...
-
Climate change is substantially impacting earth’s biodiversity, with a massive number of affected species that are difficult to study comprehensively. An “indicator species” approach that...
-
Seamless unconfined groundwater heads for coastal California groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited...
-
Seamless unconfined groundwater heads for coastal California groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited...
-
LANDFIRE's (LF) 2016 Remap (Remap) Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand, CC is a vertical projection of the tree canopy cover onto an imaginary...
-
LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression...
-
LANFIRE's (LF) Remap Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression equations derived...
-
LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression...
-
LANDFIRE's (LF) 2016 Remap (Remap) Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand, CC is a vertical projection of the tree canopy cover onto an imaginary...
-
LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression...
-
LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression...
-
LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression...
