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The Getting Ready for NISAR (GRFN) cooperative effort prepared NASA's Earth Science Data and Information System (ESDIS) Project for archiving and distributing large-scale files from data-intensive missions.
Croissant is a format developed for describing datasets used in machine learning (ML) that aims to simplify working with datasets across ML platforms and repositories.
The U.S. Greenhouse Gas Center expedites the use of Earth science data related to methane, carbon dioxide, and other greenhouse gas datasets by offering openly available information in a central location.
A workshop hosted by NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC) explored data and resources for working with observations from the Surface Water and Ocean Topography (SWOT) mission.
Hosted by NASA’s Socioeconomic Data and Applications Center (SEDAC), the January workshop focused on ways to apply open science to human aspects of global environmental change.
A workshop at the 2024 American Meteorological Society (AMS) meeting helped attendees maximize their use of openly available data offered through the U.S. Greenhouse Gas Center.
The open-source Cyanobacteria Finder (CyFi) uses machine learning to pinpoint areas that may contain harmful algal blooms in lakes, reservoirs, rivers, and other small water bodies.
The earthaccess Python library provides an easy way to search, download, or stream NASA Earth science data using a few lines of code.
NASA’s Fire information for Resource Management System (FIRMS) released an expanded User Interface (UI) for both FIRMS Global and FIRMS US/Canada.
The Exhibit Hall at the American Geophysical Union (AGU) Fall Meeting is the perfect location to explore the more than 100 petabytes of NASA Earth science data—and pet a puppy.