709 datasets found
-
Federal
Digital Data for Land and climate change in Mexico and Texas reveals small effects on migratory habitat of monarch butterflies (Danaus plexippus).
Department of the Interior —
The decline of the iconic monarch butterfly in North America has motivated research on the impacts of land use and land cover (LULC) change and climate variability on... -
Federal
Projections of shoreline change of current and future (2005-2100) sea-level rise scenarios for North Carolina and South Carolina
Department of the Interior —
This dataset contains projections of shoreline change and uncertainty bands for future scenarios of sea-level rise (SLR). Scenarios include 25, 50, 75, 100, 150, 200,... -
Federal
Projected water table depths along the Virginia, Georgia, and Florida coasts
Department of the Interior —
To predict water table depths, seamless groundwater heads for unconfined coastal Virginia, Georgia, and Florida (Atlantic and Gulf coast south of Sarasota)... -
Federal
Projected water table depths along the North and South Carolina coasts
Department of the Interior —
To predict water table depths, seamless groundwater heads for unconfined coastal North and South Carolina groundwater systems were modeled with homogeneous, steady-... -
Federal
Climatic controls on the global distribution, abundance, and species richness of mangrove forests
Department of the Interior —
MethodsStudy area: Our initial study area included the entire globe. We began with a seamless grid of cells with a resolution of 0.5 degrees (i.e., ~50 km at the... -
Federal
Projected sea-level rise flooding inundation extents for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, February 2025)
Department of the Interior —
This data release provides flooding extent polygons based on potential future sea-level rise (SLR) water levels for the coast of the most populated Hawaiian Islands... -
Federal
Occurrence records and vegetation type data used for species distribution models in the western United States
Department of the Interior —
These data are species distribution information assembled for assessing the impacts of land-use barriers, facilitative interactions with other species, and loss of... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2021
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
Estimated tree mortality, basal area, climate, and drought conditions for ponderosa pine in forest inventory plots across the western U.S.
Department of the Interior —
These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature... -
Federal
WARMER-2 model inputs for three tidal wetland sites across San Francisco Bay estuary
Department of the Interior —
Accurate input data are important for making site-specific projections of tidal wetlands into the future. We developed bias-corrected digital elevation models (DEM)... -
Federal
Data compilation of soil respiration, moisture, and temperature measurements from global warming experiments from 1994-2014
Department of the Interior —
This dataset is the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3800 observations representing 27... -
Federal
Salish Sea water level validation simulations: 2017-2020
Department of the Interior —
Simulations of water levels in the Salish Sea over the period October 1, 2016 to September 30, 2020 were conducted to validate the Salish Sea hydrodynamic model. The... -
Federal
FishTail, Indices and Supporting Data Characterizing the Current and Future Risk to Fish Habitat Degradation in the Northeast Climate Science Center Region
Department of the Interior —
Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple... -
Federal
Projections of coastal water elevations for North Carolina and South Carolina
Department of the Interior —
Projected water elevations from compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. As... -
Federal
Phenology effects in the North American Breeding Bird Survey - Results by species in .rdata format
Department of the Interior —
This data product provides summary information, by species, of changes in relative visibility of birds (phenology effects) through the April - July time period in... -
Federal
Data Release: Buttonland Swamp, seed data
Department of the Interior —
This dataset contains canopy measurements of Taxodium distichum taken outside of the Wetland and Aquatic Research Center in Lafayette, Louisiana. The measurements... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Non Sagebrush Shrub Fractional Component Time-Series Across Western North America from 1985-2023
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using... -
Federal
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Non Sagebrush Shrub Fractional Component Time-Series Across the Western U.S. 1985-2021
Department of the Interior —
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 100-year storm in San Mateo County
Department of the Interior —
This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The... -
Federal
Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin
Department of the Interior —
This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture...
709 datasets found