-
Federal
Complete 2010 Greenhouse Gas Data
U.S. Environmental Protection Agency —
These files contain the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly... -
Federal
Data represents key inputs and modeled outputs in Willwerth et al. (2023). The effects of climate change on outdoor recreation participation in the U.S.: Projections for the 21st century.
U.S. Environmental Protection Agency —
Data represents key inputs and modeled outputs of the published journal article. Citation information for this dataset can be found in Data.gov's References section. -
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
Air-Rail CO2 Data Final Miller 2023-03-19
U.S. Environmental Protection Agency —
Data presented in Miller (2021) Savings in per-passenger CO2 emissions using rail rather than air travel in the northeastern U.S., JAWMA, 71:12, 1458-1471,... -
Federal
Atmospheric circulation constraints on future Southwest United States precipitation from CMIP6
U.S. Environmental Protection Agency —
This data file contains Python scripts for recreating the analysis presented in the manuscript. The manuscript figures are also included in this file. This dataset is... -
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... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: average conditions in Orange County
Department of the Interior —
Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario. The Coastal Storm Modeling System (CoSMoS) makes... -
Federal
Data release: Process-based predictions of lake water temperature in the Midwest US
Department of the Interior —
Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: 100-year storm in Orange County
Department of the Interior —
Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise... -
Federal
Sea level rise scenarios for the Cape Sable seaside sparrow
Department of the Interior —
The endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis; CSSS) occurs in marl prairie habitat at the southern end of the Everglades, at the... -
Federal
Western North America terrestrial reptile climate-niche rasters and summary data - Sceloporus occidentalis
Department of the Interior —
This data release supports the referenced publication 'Climate futures for lizards and snakes in western North America may result in new species management issues' in... -
Federal
Hawaii Island, modelled density of malaria-resistant and -susceptible Iiwi following release of malaria-resistant birds under three climate change projections, 2030-2100
Department of the Interior —
This data set provides the simulated results of releasing malaria-resistant Iiwi into existing populations of wild birds on the Island of Hawaii. Resistant birds are... -
Federal
Projections of coastal flood hazards and flood potential for North Carolina and South Carolina
Department of the Interior —
Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. Accompanying... -
Federal
Impact of Drought on Southwestern Pronghorn Population Trends and Predicted Trajectories in the Southwest in the Face of Climate Change
Department of the Interior —
Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships... -
Federal
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
Department of Energy —
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity,... -
Federal
Contemporary estimates for total seep refugial capacity and contributing metrics, including likelihood of seep occurrence, seep air and water temperature variability, and probability of seep permanence
Department of the Interior —
We modeled the distribution and thermal and hydrologic stability of cliff-face seeps across moist portions of the Pacific Northwest, USA. We conducted surveys for... -
Federal
Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States
Department of the Interior —
These data consist of environmental covariates, measured plot-level and tree characteristics for seven coniferous tree species across the southwestern United States.... -
Federal
Fuel Economy Label and CAFE Data
U.S. Environmental Protection Agency —
The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for light duty... -
Federal
Mobile Source Emissions Regulatory Compliance Data Inventory
U.S. Environmental Protection Agency —
The Mobile Source Emissions Regulatory Compliance Data Inventory data asset contains measured summary compliance information on light-duty, heavy-duty, and non-road... -
City
2100s Mean Sea Level Rise Projections
City of New York —
Sea level rise projections for New York City in the 2100s from the New York City Panel on Climate Change (2019).