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Mining Old Data From NASA’s Voyager 2 Solves Several Uranus Mysteries
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By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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NASA/JPL-Caltech/MSSS The United States flag adorns an aluminum plate mounted at the base of the mast, or “head,” of NASA’s Perseverance Mars rover. This image of the plate was taken on June 28, 2025 (the 1,548th day, or sol, of the mission), by the WATSON (Wide Angle Topographic Sensor for Operations and eNgineering) camera on the end of the rover’s robotic arm.
WATSON, part of an instrument called SHERLOC (Scanning Habitable Environments with Raman & Luminescence for Organics & Chemicals), was built by Malin Space Science Systems (MSSS) in San Diego and is operated jointly by MSSS and NASA’s Jet Propulsion Laboratory in Southern California. JPL, which is managed for the agency by Caltech, built and manages operations of the Perseverance rover.
Learn more about Perseverance’s latest science.
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By NASA
6 min read
NASA’s Dragonfly Mission Sets Sights on Titan’s Mysteries
When it descends through the thick golden haze on Saturn’s moon Titan, NASA’s Dragonfly rotorcraft will find eerily familiar terrain. Dunes wrap around Titan’s equator. Clouds drift across its skies. Rain drizzles. Rivers flow, forming canyons, lakes and seas.
Artist’s concept of NASA’s Dragonfly on the surface of Saturn’s moon Titan. The car-sized rotorcraft will be equipped to characterize the habitability of Titan’s environment, investigate the progression of prebiotic chemistry in an environment where carbon-rich material and liquid water may have mixed for an extended period, and even search for chemical indications of whether water-based or hydrocarbon-based life once existed on Titan. NASA/Johns Hopkins APL/Steve Gribben But not everything is as familiar as it seems. At minus 292 degrees Fahrenheit, the dune sands aren’t silicate grains but organic material. The rivers, lakes and seas hold liquid methane and ethane, not water. Titan is a frigid world laden with organic molecules.
Yet Dragonfly, a car-sized rotorcraft set to launch no earlier than 2028, will explore this frigid world to potentially answer one of science’s biggest questions: How did life begin?
Seeking answers about life in a place where it likely can’t survive seems odd. But that’s precisely the point.
“Dragonfly isn’t a mission to detect life — it’s a mission to investigate the chemistry that came before biology here on Earth,” said Zibi Turtle, principal investigator for Dragonfly and a planetary scientist at the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland. “On Titan, we can explore the chemical processes that may have led to life on Earth without life complicating the picture.”
On Earth, life has reshaped nearly everything, burying its chemical forebears beneath eons of evolution. Even today’s microbes rely on a slew of reactions to keep squirming.
“You need to have gone from simple to complex chemistry before jumping to biology, but we don’t know all the steps,” Turtle said. “Titan allows us to uncover some of them.”
Titan is an untouched chemical laboratory where all the ingredients for known life — organics, liquid water and an energy source — have interacted in the past. What Dragonfly uncovers will illuminate a past since erased on Earth and refine our understanding of habitability and whether the chemistry that sparked life here is a universal rule — or a wonderous cosmic fluke.
Before NASA’s Cassini-Huygens mission, researchers didn’t know just how rich Titan is in organic molecules. The mission’s data, combined with laboratory experiments, revealed a molecular smorgasbord — ethane, propane, acetylene, acetone, vinyl cyanide, benzene, cyanogen, and more.
These molecules fall to the surface, forming thick deposits on Titan’s ice bedrock. Scientists believe life-related chemistry could start there — if given some liquid water, such as from an asteroid impact.
Enter Selk crater, a 50-mile-wide impact site. It’s a key Dragonfly destination, not only because it’s covered in organics, but because it may have had liquid water for an extended time.
Selk crater, a 50-mile-wide impact site highlighted on this infrared image of Titan, is a key Dragonfly destination. Landing near Selk, Dragonfly will explore various sites, analyzing the surface chemistry to investigate the frozen remains of what could have been prebiotic chemistry in action. NASA/JPL-Caltech/University of Nantes/University of Arizona The impact that formed Selk melted the icy bedrock, creating a temporary pool that could have remained liquid for hundreds to thousands of years under an insulating ice layer, like winter ponds on Earth. If a natural antifreeze like ammonia were mixed in, the pool could have remained unfrozen even longer, blending water with organics and the impactor’s silicon, phosphorus, sulfur and iron to form a primordial soup.
“It’s essentially a long-running chemical experiment,” said Sarah Hörst, an atmospheric chemist at Johns Hopkins University and co-investigator on Dragonfly’s science team. “That’s why Titan is exciting. It’s a natural version of our origin-of-life experiments — except it’s been running much longer and on a planetary scale.”
For decades, scientists have simulated Earth’s early conditions, mixing water with simple organics to create a “prebiotic soup” and jumpstarting reactions with an electrical shock. The problem is time. Most tests last weeks, maybe months or years.
The melt pools at Selk crater, however, possibly lasted tens of thousands of years. Still shorter than the hundreds of millions of years it took life to emerge on Earth, but potentially enough time for critical chemistry to occur.
“We don’t know if Earth life took so long because conditions had to stabilize or because the chemistry itself needed time,” Hörst said. “But models show that if you toss Titan’s organics into water, tens of thousands of years is plenty of time for chemistry to happen.”
Dragonfly will test that theory. Landing near Selk, it will fly from site to site, analyzing the surface chemistry to investigate the frozen remains of what could have been prebiotic chemistry in action.
Morgan Cable, a research scientist at NASA’s Jet Propulsion Laboratory in Southern California and co-investigator on Dragonfly, is particularly excited about the Dragonfly Mass Spectrometer (DraMS) instrument. Developed by NASA’s Goddard Space Flight Center in Greenbelt, Maryland, with a key subsystem provided by the CNES (Centre National d’Etudes Spatiales), DraMS will search for indicators of complex chemistry.
“We’re not looking for exact molecules, but patterns that suggest complexity,” Cable said. On Earth, for example, amino acids — fundamental to proteins — appear in specific patterns. A world without life would mainly manufacture the simplest amino acids and form fewer complex ones.
Generally, Titan isn’t regarded as habitable; it’s too cold for the chemistry of life as we know it to occur, and there’s is no liquid water on the surface, where the organics and likely energy sources exist.
Still, scientists have assumed that if a place has life’s ingredients and enough time, complex chemistry — and eventually life — should emerge. If Titan proves otherwise, it may mean we’ve misunderstood something about life’s start and it may be rarer than we thought.
“We won’t know how easy or difficult it is for these chemical steps to occur if we don’t go, so we need to go and look,” Cable said. “That’s the fun thing about going to a world like Titan. We’re like detectives with our magnifying glasses, looking at everything and wondering what this is.”
Dragonfly is being designed and built under the direction of the Johns Hopkins Applied Physics Laboratory (APL), which manages the mission for NASA. The team includes key partners at NASA’s Goddard Space Flight Center and NASA’s Jet Propulsion Laboratory. Dragonfly is managed by NASA’s Marshall Space Flight Center in Huntsville, Alabama, for the agency’s Science Mission Directorate at NASA Headquarters in Washington.
For more information on Dragonfly, visit:
https://science.nasa.gov/mission/dragonfly/
By Jeremy Rehm
Johns Hopkins Applied Physics Laboratory, Laurel, Md.
Media Contacts:
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202-358-1600
karen.c.fox@nasa.gov / molly.l.wasser@nasa.gov
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Explore Webb Webb News Latest News Latest Images Webb’s Blog Awards X (offsite – login reqd) Instagram (offsite – login reqd) Facebook (offsite- login reqd) Youtube (offsite) Overview About Who is James Webb? Fact Sheet Impacts+Benefits FAQ Science Overview and Goals Early Universe Galaxies Over Time Star Lifecycle Other Worlds Observatory Overview Launch Deployment Orbit Mirrors Sunshield Instrument: NIRCam Instrument: MIRI Instrument: NIRSpec Instrument: FGS/NIRISS Optical Telescope Element Backplane Spacecraft Bus Instrument Module Multimedia About Webb Images Images Videos What is Webb Observing? 3d Webb in 3d Solar System Podcasts Webb Image Sonifications Team International Team People Of Webb More For the Media For Scientists For Educators For Fun/Learning 5 Min Read NASA’s Webb Reveals New Details, Mysteries in Jupiter’s Aurora
NASA’s James Webb Space Telescope has captured new details of the auroras on our solar system’s largest planet. The dancing lights observed on Jupiter are hundreds of times brighter than those seen on Earth. Full image below. Credits:
NASA, ESA, CSA, Jonathan Nichols (University of Leicester), Mahdi Zamani (ESA/Webb) NASA’s James Webb Space Telescope has captured new details of the auroras on our solar system’s largest planet. The dancing lights observed on Jupiter are hundreds of times brighter than those seen on Earth. With Webb’s advanced sensitivity, astronomers have studied the phenomena to better understand Jupiter’s magnetosphere.
Auroras are created when high-energy particles enter a planet’s atmosphere near its magnetic poles and collide with atoms or molecules of gas. On Earth these are known as the Northern and Southern Lights. Not only are the auroras on Jupiter huge in size, they are also hundreds of times more energetic than those in Earth’s atmosphere. Earth’s auroras are caused by solar storms — when charged particles from the Sun rain down on the upper atmosphere, energize gases, and cause them to glow in shades of red, green and purple.
Image A: Close-up Observations of Auroras on Jupiter
NASA’s James Webb Space Telescope has captured new details of the auroras on our solar system’s largest planet. The dancing lights observed on Jupiter are hundreds of times brighter than those seen on Earth.
These observations of Jupiter’s auroras, taken at a wavelength of 3.36 microns (F335M) were captured with Webb’s NIRCam (Near-Infrared Camera) on Dec. 25, 2023. Scientists found that the emission from trihydrogen cation, known as H3+, is far more variable than previously believed. H3+ is created by the impact of high energy electrons on molecular hydrogen. Because this emission shines brightly in the infrared, Webb’s instruments are well equipped to observe it. NASA, ESA, CSA, Jonathan Nichols (University of Leicester), Mahdi Zamani (ESA/Webb) Jupiter has an additional source for its auroras: The strong magnetic field of the gas giant grabs charged particles from its surroundings. This includes not only the charged particles within the solar wind but also the particles thrown into space by its orbiting moon Io, known for its numerous and large volcanoes. Io’s volcanoes spew particles that escape the moon’s gravity and orbit Jupiter. A barrage of charged particles unleashed by the Sun also reaches the planet. Jupiter’s large and powerful magnetic field captures all of the charged particles and accelerates them to tremendous speeds. These speedy particles slam into the planet’s atmosphere at high energies, which excites the gas and causes it to glow.
Image B: Pullout of Aurora Observations on Jupiter (NIRCam Image)
These observations of Jupiter’s auroras (shown on the left of the above image) at 3.35 microns (F335M) were captured with NASA’s James Webb Space Telescope’s NIRCam (Near-Infrared Camera) on Dec. 25, 2023. Scientists found that the emission from trihydrogen cation, known as H3+, is far more variable than previously believed. H3+ is created by the impact of high energy electrons on molecular hydrogen. Because this emission shines brightly in the infrared, Webb’s instruments are well equipped to observe it. The image on the right shows the planet Jupiter to indicate the location of the observed auroras, which was originally published in 2023. NASA, ESA, CSA, STScI, Ricardo Hueso (UPV), Imke de Pater (UC Berkeley), Thierry Fouchet (Observatory of Paris), Leigh Fletcher (University of Leicester), Michael H. Wong (UC Berkeley), Joseph DePasquale (STScI), Jonathan Nichols (University of Leicester), Mahdi Zamani (ESA/Webb) Now, Webb’s unique capabilities are providing new insights into the auroras on Jupiter. The telescope’s sensitivity allows astronomers to capture fast-varying auroral features. New data was captured with Webb’s NIRCam (Near-Infrared Camera) Dec. 25, 2023, by a team of scientists led by Jonathan Nichols from the University of Leicester in the United Kingdom.
“What a Christmas present it was – it just blew me away!” shared Nichols. “We wanted to see how quickly the auroras change, expecting them to fade in and out ponderously, perhaps over a quarter of an hour or so. Instead, we observed the whole auroral region fizzing and popping with light, sometimes varying by the second.”
In particular, the team studied emission from the trihydrogen cation (H3+), which can be created in auroras. They found that this emission is far more variable than previously believed. The observations will help develop scientists’ understanding of how Jupiter’s upper atmosphere is heated and cooled.
The team also uncovered some unexplained observations in their data.
“What made these observations even more special is that we also took pictures simultaneously in the ultraviolet with NASA’s Hubble Space Telescope,” added Nichols. “Bizarrely, the brightest light observed by Webb had no real counterpart in Hubble’s pictures. This has left us scratching our heads. In order to cause the combination of brightness seen by both Webb and Hubble, we need to have a combination of high quantities of very low-energy particles hitting the atmosphere, which was previously thought to be impossible. We still don’t understand how this happens.”
Video: Webb Captures Jupiter’s Aurora
NASA’s James Webb Space Telescope has captured a spectacular light show on Jupiter — an enormous display of auroras unlike anything seen on Earth. These infrared observations reveal unexpected activity in Jupiter’s atmosphere, challenging what scientists thought they knew about the planet’s magnetic field and particle interactions. Combined with ultraviolet data from Hubble, the results have raised surprising new questions about Jupiter’s extreme environment.
Producer: Paul Morris. Writer: Thaddeus Cesari. Narrator: Professor Jonathan Nichols. Images: NASA, ESA, CSA, STScI. Music Credit: “Zero Gravity” by Brice Davoli [SACEM] via Koka Media [SACEM], Universal Production Music France [SACEM], and Universal Production Music. The team now plans to study this discrepancy between the Hubble and Webb data and to explore the wider implications for Jupiter’s atmosphere and space environment. They also intend to follow up this research with more Webb observations, which they can compare with data from NASA’s Juno spacecraft to better explore the cause of the enigmatic bright emission.
These results were published today in the journal Nature Communications.
The James Webb Space Telescope is the world’s premier space science observatory. Webb is solving mysteries in our solar system, looking beyond to distant worlds around other stars, and probing the mysterious structures and origins of our universe and our place in it. Webb is an international program led by NASA with its partners, ESA (European Space Agency) and CSA (Canadian Space Agency).
To learn more about Webb, visit:
https://science.nasa.gov/webb
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Media Contacts
Laura Betz – laura.e.betz@nasa.gov
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Bethany Downer – Bethany.Downer@esawebb.org
ESA/Webb, Baltimore, Md.
Christine Pulliam – cpulliam@stsci.edu
Space Telescope Science Institute, Baltimore, Md.
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Last Updated May 12, 2025 Editor Marty McCoy Contact Laura Betz laura.e.betz@nasa.gov Related Terms
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By USH
In a groundbreaking development, advances in quantum data analysis have led to a discovery no scientist could have foreseen. NASA’s deep space monitoring system, upgraded with a quantum processor designed to filter cosmic noise and decode interstellar signals, produced something startling: an image.
A conceptual interpretation of the Voyager 1 image.
But this wasn’t an input, a simulation, or a product of algorithmic imagination. It wasn’t the result of random noise or a misfired pattern recognition process. The quantum system returned a coherent, structured, and symmetrical image, undeniably artificial. And the data it derived from? None other than Voyager 1.
Renowned physicist Michio Kaku addressed the anomaly in a recent interview: “We may be witnessing the first whisper of a new intelligence, something not man-made, not terrestrial, and certainly not random.”
The image, reconstructed via entangled qubit networks, depicted a figure: humanoid in silhouette, yet composed of geometric segments that defied any known biological or mechanical blueprint. It seemed deliberately crafted to challenge human comprehension, alien, yet eerily familiar enough to spark recognition.
Not long ago, NASA pushed the boundaries of computation by launching an experimental quantum computer, capable of processing vast, multidimensional data streams. But after this revelation, NASA abruptly shut down the system following the unexpected and unsettling incident, in 2023, though some believe the research continued in secret.
Meanwhile, Voyager 1—the most distant human-made object in space, still traveling beyond our solar system after 45 years—has been transmitting strange, inexplicable data. According to NASA engineers, the spacecraft’s Attitude Articulation and Control System (AACS) began sending signals that “do not reflect what’s actually happening onboard.”
Instead of useful telemetry, Voyager 1 has been broadcasting a puzzling sequence: a repeating pattern of ones and zeros. Initially dismissed as a glitch, engineers traced the anomaly to the Flight Data Subsystem (FDS), pinpointing a malfunctioning chip. Yet, despite their efforts, the signal persisted, a digital enigma from 24 billion kilometers away.
Is this merely a failing system showing its age? Or is something, or someone, intentionally altering the data?
What if this “error” is a message? And if so, who’s sending it?
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