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CryoCloud is a collaborative cloud platform designed to accelerate discovery and enhance collaboration for NASA Cryosphere communities. CryoCloud provides cloud-based computational tools, shared resources, and educational materials to support researchers studying ice-related environments and climate systems.

EarthScope Consortium is a university-based organization that supports transformative global geophysical research and education. They operate NSF’s GAGE and SAGE Facilities, providing geophysical instrumentation support, data services, and educational resources to the scientific community.

GeoJupyter is an open and collaborative community-driven effort to reimagine geospatial interactive computing experiences for education, research, and industry.

GESIS - Leibniz Institute for the Social Sciences is a research infrastructure organization that provides data, tools, and services for the social sciences. They also work with CESSDA. Grants that fund this collaboration # In cooperation with NFDI4DS, (project number: 460234259)

The Howard Hughes Medical Institute is one of the nation’s largest private funding organizations for biological and medical research, investigating fundamental biological processes and supporting innovative research that transforms biomedical knowledge.

NASA VEDA (Visualization, Exploration, and Data Analysis) is NASA’s open-source, cloud-native platform for Earth science data. It makes NASA’s Earth observation data more accessible and usable for researchers, policymakers, and the public, and demonstrates the benefits of cloud-native data for open science.

Openscapes is an approach and a movement that helps researchers and those supporting research find each other and feel empowered to conduct data-intensive science. They champion open practices in environmental and Earth science to help uncover data-driven solutions faster.

Project Pythia is an educational initiative that provides open access training resources to help geoscientists learn cloud computing and open science tools. Grants that fund this project # NSF award 2324302