![C/O ratio as a function of metallicity [M/H] as given in Table 4. Planets observed with direct spectroscopy are shown as blue circles, planets observed with eclipse spectroscopy as magenta squares, and planets observed with transit spectroscopy as gold diamonds. Ultra-hot Jupiters are labeled as stars. -- astro-ph.EP](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/11/The-Library-of-Exoplanet-Atmospheric-Composition.png?resize=1200%2C720&ssl=1)
The present-day bulk elemental composition of an exoplanet can provide insight into a planet’s formation and evolutionary history.
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Posted inAstrochemistry, Astronomy & Telescopes, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Imaging & Spectroscopy, Interstellar, Press Release
Astrochemistry: The Largest Molecular Survey To-date: GOTHAM Legacy Data Goes Public
A groundbreaking new dataset from the U.S. National Science Foundation Green Bank Telescope (NSF GBT) is now publicly available, opening the door for scientists worldwide to make discoveries in one […]
Posted inAI - Data - Apps - Cybernetics, Astrobiology (general), Biosignatures & Paleobiology, Reports, Roadmaps, & Plans, Status Report
Foundation Models for Astrobiology: Paper I — Workshop and Overview
Advances in machine learning over the past decade have resulted in a proliferation of algorithmic applications for encoding, characterizing, and acting on complex data that may contain many high dimensional […]
Posted inAI - Data - Apps - Cybernetics, Genomics, Proteomics, Bioinformatics, Origin & Evolution of Life, Status Report
Simulating 500 Million Years Of Evolution With A Language Model
More than three billion years of evolution have produced an image of biology encoded into the space of natural proteins.
Posted inAI - Data - Apps - Cybernetics, Apps - Games, Astronomy & Telescopes, Status Report
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Assessing Methods for Telluric Removal On Atmospheric Retrievals of High-resolution Optical Exoplanetary Transmission Spectra
Recent advancements in ultra-stable ground-based high-resolution spectrographs have propelled ground-based astronomy to the forefront of exoplanet detection and characterisation. Retrieving accurate atmospheric parameters depends on accurate modelling and removal of […]
Posted inAI - Data - Apps - Cybernetics, Away Teams & Field Reports, Biosignatures & Paleobiology, Exploration Gear & Tech, Habitable Zones, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Robotics/Rovers/UAVs, ROVs/Submersibles/Diving, Sample Return, Status Report, Tricorders & Sensors, Water/Hycean Worlds & Oceanography
Away Team Deep-Sea Datasets: Long-Term Visual Localization Of The Eiffel Tower Hydrothermal Vent
Visual localization plays an important role in the positioning and navigation of robotics systems within previously visited environments.
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astronomy & Telescopes, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Nomenclature, Systematics, Natural History, Status Report, Stellar Cartography
Exoplanet Host Star Classification: Multi-Objective Optimisation Of Incomplete Stellar Abundance Data
The presence of a planetary companion around its host star has been repeatedly linked with stellar properties, affecting the likelihood of sub-stellar object formation and stability in the protoplanetary disc, […]