• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

The goal of the USGS 3D Elevation Program (3DEP) is to collect elevation data in the form of light detection and ranging (LiDAR) data over the conterminous United States, Hawaii, and the U.S. territories, with data acquired over an 8-year period. This dataset provides two realizations of the 3DEP point cloud data. The first resource is a public access organization provided in Entwine Point Tiles format, which a lossless, full-density, streamable octree based on LASzip (LAZ) encoding. The second resource is a Requester Pays of the original, Raw LAZ (Compressed LAS) 1.4 3DEP format, and more complete in coverage, as sources with incomplete or missing CRS, will not have an ETP tile generated. Resource names in both buckets correspond to the USGS project names.

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

The ARPA-E PERFORM Program is an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. A risk-driven paradigm allows operators to: (i) fully understand the true likelihood of maintaining a supply-demand balance and system reliability, (ii) optimally manage the system, and (iii) assess the true value of essential reliability services. This paradigm shift is critical for all power systems and is essential for grids with high levels of stochastic resources. Projects will propose methods to quantify and manage risk at the asset level and at the system level. In support of the ARPA-E PERFORM project, NREL has produced a set of time-coincident load, wind, and solar generation profiles, including actual and forecasting time series. Both actuals and forecasts are provided in form of time-series with high tempo[...]

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

The Terra Basic Fusion dataset is a fused dataset of the original Level 1 radiances from the five Terra instruments. They have been fully validate to contain the original Terra instrument Level 1 data. Each Level 1 Terra Basic Fusion file contains one full Terra orbit of data and is typically 15 – 40 GB in size, depending on how much data was collected for that orbit. It contains instrument radiance in physical units; radiance quality indicator; geolocation for each IFOV at its native resolution; sun-view geometry; bservation time; and other attributes/metadata. It is stored in HDF5, conformed to CF conventions, and accessible by netCDF-4 enhanced models. It’s naming convention follows: TERRABFL1BOXXXXYYYYMMDDHHMMSSF000V000.h5. A concise description of the dataset, along with links to complete documentation and available software tools, can be found on the Terra Fusion project page: https://terrafusion.web.illinois.edu. Terra is the flagship satellite of NASA’s Ea[...]

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

The Servicio Meteorológico Nacional de Argentina (SMN-Arg), the National Meteorological Service of Argentina, shares its deterministic forecasts generated with WRF 4.0 (Weather and Research Forecasting) initialized at 00 and 12 UTC every day. This forecast includes some key hourly surface variables –2 m temperature, 2 m relative humidity, 10 m wind magnitude and direction, and precipitation–, along with other daily variables, minimum and maximum temperature. The forecast covers Argentina, Chile, Uruguay, Paraguay and parts of Bolivia and Brazil in a Lambert conformal projection, with 4 km horizontal resolution. The maximum lead time is 72 hours. Forecasts are initialized with the NCEP-NOAA Global Forecast Systems analysis and forecasts (GFS).

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

Data released under the Department of Energy's (DOE) Open Energy Data Initiative (OEDI). The Open Energy Data Initiative aims to improve and automate access of high-value energy data sets across the U.S. Department of Energy’s programs, offices, and national laboratories. OEDI aims to make data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation.

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

The Sentinel1 Single Look Complex (SLC) unzipped dataset contains Synthetic Aperture Radar (SAR) data from the European Space Agency’s Sentinel-1 mission. Different from the zipped data provided by ESA, this dataset allows direct access to individual swaths required for a given study area, thus drastically minimizing the storage and downloading time requirements of a project. Since the data is stored on S3, users can utilize the boto3 library and s3 get_object method to read the entire content of the object into the memory for processing, without actually having to download it. The Sentinel-1 constellation consists of two satellites equipped with SAR sensors and a combined revisit time of six days. SAR imagery gets recorded regardless of weather conditions and daylight, which makes it ideally suited for monitoring land-use changes, surface deformations, land applications, oil spills, sea-ice, natural hazards, and for emergency response. In its current first stage, the dataset cove[...]

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

Data released from projects funded by the Department of Energy's Water Power Technologies Office (DOE WPTO) that are too large or complex to be conveniently accessed by traditional means. The Marine Energy data lake aims to improve and automate access of high-value MHK data sets, making data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation. This data lake is a sister-data lake to the Department of Energy’s Open Energy Data Initiative (OEDI) data lake.

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

One of the National Geospatial-Intelligence Agency’s (NGA) and the National Oceanic and Atmospheric Administration’s (NOAA) missions is to ensure the safety of navigation on the seas by maintaining the most current information and the highest quality services for U.S. and global transport networks. To achieve this mission, we need accurate coastal bathymetry over diverse environmental conditions. The SCuBA program focused on providing critical information to improve existing bathymetry resources and techniques with two specific objectives. The first objective was to validate National Aeronautics and Space Administration’s (NASA) Ice, Cloud and land Elevation SATellite-2 (ICESat-2), an Earth observing, space-based light detection and ranging (LiDAR) capability, as a useful bathymetry tool for nearshore bathymetry information in differing environmental conditions. Upon validating the ICESat-2 bathymetry retrievals relative to sea floor type, water clarity, and water surface dyn[...]

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

This project offers passive acoustic data (sound recordings) from a deep-ocean environment off central California. Recording began in July 2015, has been nearly continuous, and is ongoing. These resources are intended for applications in ocean soundscape research, education, and the arts.

• Sold by Amazon Sustainability Data Initiative

Free | Publicly available

ArcticDEM - 2m GSD Digital Elevation Models (DEMs) and mosaics from 2007 to the present. The ArcticDEM project seeks to fill the need for high-resolution time-series elevation data in the Arctic. The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over large areas. ArcticDEM data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites.