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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
ARPA-E Grid Optimization (GO) Competition Challenge 2
Department of Energy —
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap... -
Federal
ARPA-E Grid Optimization (GO) Competition Challenge 1
Department of Energy —
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a... -
Federal
2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
Department of Energy —
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV),... -
Federal
Global Soil Types, 0.5-Degree Grid (Modified Zobler)
National Aeronautics and Space Administration —
A global data set of soil types is available at 0.5-degree latitude by 0.5-degree longitude resolution. There are 106 soil units, based on Zobler?s (1986) assessment... -
Federal
CMAQv5.5 CRACMM2 Predictions for Select Locations during 2023 in the U.S.: Northeast U.S. (v2.0)
U.S. Environmental Protection Agency —
2023 CMAQ Simulation output for select sites in the Northeast US - CMAQ simulations performed by Havala Pye ORD/CEMM/AESMD - simulation labels: cmaq55plus (base) and... -
Federal
ARPA-E Grid Optimization (GO) Competition Challenge 3
Department of Energy —
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 - 4 and the Sandbox, along with problem and format descriptions and code to... -
Federal
Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field
Department of Agriculture —
Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical... -
Federal
PBPK Model Template Timing Source Code
U.S. Environmental Protection Agency —
The data set includes source code for a "PBPK model template" that can be used to implement physiologically based pharmacokinetic (PBPK) models with various different... -
Federal
CERES Energy Balanced and Filled (EBAF) TOA and Surface Monthly means data in netCDF Edition 4.1
National Aeronautics and Space Administration —
CERES_EBAF_Edition4.1 is the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) and surface monthly means... -
Federal
Stream Flow Daily Data: USGS (FIFE)
National Aeronautics and Space Administration —
The Daily Stream Flow Amounts Data Set contains daily measurements of stream flow for the four LTER stations and for the USGS stream-flow station located on... -
Federal
Benthic Habitats of Puerto Rico and the U.S. Virgin Islands;Photomosaic of Puerto Rico (Luquillo), 1999
National Oceanic and Atmospheric Administration, Department of Commerce —
Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension. Aerial... -
Federal
CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols Monthly-Averaged 1-Hourly Terra-Aqua-NOAA20 Edition4B
National Aeronautics and Space Administration —
CER_SYN1deg-MHour_Terra-Aqua-NOAA20_Edition4B is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top-of-Atmosphere (TOA),... -
Federal
Benthic Habitats of Puerto Rico and the U.S. Virgin Islands;Photomosaic of Puerto Rico (Isla de Culebra), 1999
National Oceanic and Atmospheric Administration, Department of Commerce —
Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension. Aerial... -
Federal
CERES and GEO-Enhanced TOA, Within-Atmosphere and Surface Fluxes, Clouds and Aerosols 3-Hourly Terra-Aqua Edition4A NGDA
National Aeronautics and Space Administration —
CER_SYN1deg-3Hour_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) and geostationary (GEO)-Enhanced Top of Atmosphere (TOA),... -
Federal
Data used by EPA researchers to generate illustrative figures for overview article "Multiscale Modeling of Background Ozone: Research Needs to Inform and Improve Air Quality Management"
U.S. Environmental Protection Agency —
Data sets used to prepare illustrative figures for the overview article “Multiscale Modeling of Background Ozone” Overview The CMAQ model output datasets used to... -
Federal
Hawaii Hamakua IKONOS and Quickbird Imagery - Mosaic
National Oceanic and Atmospheric Administration, Department of Commerce —
This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, BAE... -
Federal
Benthic Habitats of Puerto Rico and the U.S. Virgin Islands;Photomosaic of Puerto Rico (Rincon), 1999
National Oceanic and Atmospheric Administration, Department of Commerce —
Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension. Aerial... -
Federal
AFSC/NMML/CCEP: Raw telemetry data for California sea lions and northern fur seals in waters off California, Oregon, and Washington
National Oceanic and Atmospheric Administration, Department of Commerce —
The purpose of this project was to obtain data that are pertinent to assessing aspects of the distribution and foraging ecology of pinnipeds inhabiting the California... -
Federal
Classification of Global Forests for IPCC Aboveground Biomass Tier 1 Estimates, 2020
National Aeronautics and Space Administration —
This dataset provides classes of global forests delineated by status/condition in 2020 at approximately 30-m resolution. The data support generating Tier 1 estimates...