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The Catalog of Archived Suborbital Earth Science Investigations
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Building Foundation AI Models for NASA's Earth Science Data
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NASA Earth Observations and the NASA Earth Science Disasters Program: Providing Data, Services and Science Expertise to Inform End User Decision-Making Throughout the Disaster Management Cycle
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NASA Earth Observations and the NASA Earth Science Disasters Program: providing data, services and science expertise to inform end user decision-making throughout the disaster management cycle
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Effective Stewardship To Promote the Sharing of Quality-Assured Earth Science Machine Learning Training Datasets
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Should We Build Foundation Models for Earth Science?
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Influence Network: Network visualization of influence between stories for Earth Science data and information exploration
Using storytelling to present data has been demonstrated as an effective way to help data users gain deeper insight of information. For this purpose, the “Data in Action” story concept has been adopted by NASA Commercial Smallsat Data Acquisition (CSDA) Program to encourage creating and sharing data information in story form. To aid researchers in exploring similar stories and data in their fields of interest, we created an “Influence Network” within the “Data in Action” framework. The Influence Network is a data visualization system component which gathers information of story relationships using a concept called “influence,” which we define based on the number of visits and keyword similarity between stories. The visualization then provides insights into the influence flows between different stories within the system. The visualization of this “Influence Network” focuses on one story at a time, introducing a time series of neighbor stories that have the most influence to the currently focused story. By focusing on views over time and visualizing influence flows between stories, we aim to assist authors in understanding how their readers perceive their stories as well as advancing their methods for delivering more meaningful stories to expand and lower the barrier to use of CSDA datasets.
Technical Architecture and Design Strategies for Consolidating NASA Airborne and Field Data in the Catalog of Archived Suborbital Earth Science Investigations (CASEI)
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Using Large Scale Language Models for Enabling NLP Abilities Within Earth Sciences
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NASA’s Catalog of Archived Suborbital Earth Science Investigations (CASEI): Meaningful Metadata and Technical Design Strategy for an Airborne and FIeld Observation Inventory
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Visible to Short Wavelength Infrared Imaging Spectroscopy for Earth Science and Discovery Through the Solar System
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The NASA-ISRO Synthetic Aperture Radar (NISAR) Mission – Technologies and Techniques for Earth Science
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Using folktale characters to tell stories about Earth science satellites
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Federated Scheduling of Model-Driven Observations for Earth Science
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An Introduction to NASA’s Catalog of Archived Suborbital Earth Science Investigations (CASEI)
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