datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-temporal-crop-classification
Dataset Card for Multi-Temporal Crop Classification
Dataset Summary
This dataset contains temporal Harmonized Landsat-Sentinel imagery of diverse land cover and crop type classes across the Contiguous United States for the year 2022. The target labels are derived from USDA's Crop Data Layer (CDL). It's primary purpose is for training segmentation geospatial machine learning models.
Dataset Structure
TIFF Files
Each tiff file covers a… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification.nasa-exoplanets
NASA Exoplanet Archive
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
Confirmed exoplanets with orbital, stellar, and discovery parameters from the NASA Exoplanet Archive.
The NASA Exoplanet Archive is the authoritative database of confirmed exoplanets, maintained by Caltech/IPAC under contract with NASA. Each entry represents a confirmed planet with its best-available physical and orbital parameters, host star… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-exoplanets.Sombench-Ice-Prospectivity-Regression
SomBench Benchmark: Polar Ice Prospectivity Regression
Science theme: Polar volatiles
Task: Regression
Dataset Summary
A polar, multi-layer benchmark for predicting near-surface water-ice
prospectivity within ~10° latitude of each pole at 240 m/pixel. Following
the ice-prospectivity workflow of Coyan et al. (2025), the dataset includes a
group of physically motivated evidential layers (thermophysical,
illumination, and terrain) alongside a continuous prospectivity… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression.Sombench-pretraining-data
SomBench Pre-training Corpus: Multimodal Lunar Tiles
Dataset Summary
This includes a small sample from SomBench: a corpus of co-registered, multimodal lunar image tiles built for
large-scale self-supervised (foundation-model) pre-training. It contains a subset of modalities from the
low-resolution (WAC-anchored) and high-resolution (NAC-anchored) tracks specifically used in pretraining.
Tiles are anchored to individual LROC Experiment Data Record (EDR) image… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-pretraining-data.Surya-bench-solarwind
Solar Wind Forecasting Dataset
Dataset Summary
This dataset provides hourly solar wind plasma and interplanetary magnetic field (IMF) parameters at L1, derived from NASA’s OMNI dataset. The primary forecasting target is the solar wind speed (V), while additional parameters are included for completeness:
Solar wind speed (V)
IMF Bx (GSE)
IMF By (GSM)
IMF Bz (GSM)
Proton number density (N)
The dataset is structured for machine learning experiments, particularly… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Surya-bench-solarwind.surya-bench-ar-segmentation
A Dataset of Binary Maps of Active Regions with Polarity Inversion Lines
Dataset Summary
This dataset provides hourly binary segmentation maps (4096×4096 resolution) derived from Solar Dynamics Observatory (SDO) / Helioseismic and Magnetic Imager (HMI) line-of-sight magnetograms. The maps highlight regions containing Active Regions (ARs) and Polarity Inversion Lines (PILs). The dataset spans observations from May 13, 2010 to December 31, 2024 and is intended for image… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-ar-segmentation.NASA_Nearest_Earth_Objects_1910-2024CONTEXT:
There are many dangerous bodies in space, one of them is N.E.O. - "Nearest Earth Objects". Some such bodies really pose a danger to the planet Earth, NASA classifies them as "is_hazardous". This dataset contains ALL NASA observations of similar objects from 1910 to 2024!!!
There are 338,199 records of N.E.O. in the Dataset!
Try to predict "is_hazardous" as accurately as possible! (otherwise we will not be ready for an asteroid attack)
SOURCES:
NASA Open API: https://api.nasa.gov/… See the full description on the dataset page: https://huggingface.co/datasets/IvanSher/NASA_Nearest_Earth_Objects_1910-2024.Sombench-WAC-Crater-Detection
SomBench Benchmark: Robbins Crater Detection, WAC
Science theme: Impact processes
Task: Object detection
Dataset Summary
An impact-crater object-detection benchmark built from the
Robbins (2019) global lunar crater
catalog, a manually compiled, near-complete census of
lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are
converted to bounding boxes and packaged over LROC WAC visible tiles drawn
from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.nasa
NASA Image Library (Recaptioned)
A public-domain subset of the NASA Image and Video Library, filtered and captioned with a Qwen vision-language model. Prepared by the Swiss AI Initiative vision team.
The set contains 36,997 images, all public domain, covering spaceflight, astronomy, planetary science, Earth observation and aeronautics, from NASA centers including JPL, KSC, MSFC, JSC and GSFC.
How it was made
Images were sourced directly from NASA's public API… See the full description on the dataset page: https://huggingface.co/datasets/swiss-ai/nasa.NASA-C-MAPSS-Turbofan-Engine
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Remaining useful life prediction
|
Predictive maintenance
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Digital twin research
|
Turbofan engine degradation
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1. Project Introduction… See the full description on the dataset page: https://huggingface.co/datasets/SoyVitou/NASA-C-MAPSS-Turbofan-Engine.nasa-exoplanet
NASA Exoplanet Archive — Confirmed Planets
Every confirmed exoplanet in the NASA Exoplanet Archive — 6,316 planets across 31+ years of discovery, from the first pulsar-timing detections in 1992 to the latest TESS and JWST findings. Includes orbital parameters, planetary size/mass, stellar properties, and discovery metadata.
Source
API: NASA Exoplanet Archive TAP Service
Table: pscomppars (Planetary Systems Composite Parameters)
Data refreshed: periodically via… See the full description on the dataset page: https://huggingface.co/datasets/Hari5115/nasa-exoplanet.NASADEM_DATASET
NASADEM_DATASET/
README.md
train/metadata.csv
train.zip
euv-spectra
Solar EUV Spectra Modeling Dataset
Dataset Summary
This dataset provides time-aligned Extreme Ultraviolet (EUV) irradiance spectra from NASA’s SDO/EVE (Extreme Ultraviolet Variability Experiment) instrument. This dataset enables machine learning models to learn from and predict EUV spectral behavior driven by solar dynamics. It addresses the need for high-resolution, calibrated spectral data paired with physics-based contextual input. It is designed for image-to-spectra… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/euv-spectra.NASA-EO-Bench
NASA-EO-Bench
A large-scale benchmark for geoscience dataset retrieval, derived from citation relationships in peer-reviewed NASA publications.
Paper: Bringing Agentic Search to Earth Observation Data Discovery — CIKM '26, 10.1145/3799682.3841109
Overview
Finding the right NASA Earth observation dataset for a given research need is hard even for domain experts. NASA-EO-Bench operationalises this task as an information retrieval problem: given a natural-language… See the full description on the dataset page: https://huggingface.co/datasets/HamiltonMYu/NASA-EO-Bench.NASA_IMPACT_TCB_OBJ
Transverse Cirrus Bands (TCB) Dataset
Dataset Overview
This dataset contains manually annotated satellite imagery of Transverse Cirrus Bands (TCBs), a type of cloud formation often associated with atmospheric turbulence. The dataset is formatted for object detection tasks using the YOLO and COCO annotation formats, making it suitable for training deep learning models for automated TCB detection.
Data Collection
Source: NASA-IMPACT Data Share
Satellite Sensors:… See the full description on the dataset page: https://huggingface.co/datasets/viknesh1211/NASA_IMPACT_TCB_OBJ.nasa-neows
NASA NeoWs — Near Earth Asteroid Close Approaches
Every asteroid close approach to Earth from 2000 to today, as tracked by NASA's Center for Near Earth Object Studies (CNEOS). 70,944 close-approach events involving 20,159 unique asteroids — with size estimates, speed, miss distance, and hazard classification for each pass.
Source
API: NASA NeoWs API
Data refreshed: periodically via NASA NeoWs public API
Notes
Potentially Hazardous Asteroid (PHA):… See the full description on the dataset page: https://huggingface.co/datasets/Hari5115/nasa-neows.nasa-mars-rover-images
NASA Mars Rover Image Catalog
Credit: NASA/JPL-Caltech/MSSS
Part of a dataset collection on Hugging Face.
Dataset description
The NASA Mars Rover Image Catalog contains metadata for every raw image captured by the Perseverance (Mars 2020) and Curiosity (MSL) rovers on the surface of Mars. Perseverance has been exploring Jezero Crater since February 2021, investigating an ancient river delta for signs of past microbial life and caching samples for future… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-mars-rover-images.surya-bench-flare-forecasting
Full-disk Solar Flare Forecasting Dataset
Dataset Summary
This dataset provides labels for solar flare forecasting derived from NOAA GOES flare events from May 2010 to December 2024. Labels are constructed using a 24h rolling prediction window sampled at an hourly cadence. Each window is annotated with both max GOES class (based on peak X-ray flux) and cumulative flare index.
Two derived binary labels are included for forecasting tasks:
label_max: 1 if the maximum… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-flare-forecasting.nasa_earth_instagram
NASA Earth Instagram
This dataset is a moderately curated subset of the posts shown on NASA Earth's Instagram, with an emphasis
on finding image-text pairs where the text associated is as close as possible to being a direct caption of the image in question.
This dataset has a variety of use cases, but the one which it is originally intended for is to provide a fine-tuning dataset for image captioning models,
to be better equipped for describing the exact pheonomena in satellite… See the full description on the dataset page: https://huggingface.co/datasets/nkasmanoff/nasa_earth_instagram.Sombench-IMP-Segmentation
SomBench Benchmark: Irregular Mare Patch (IMP) Segmentation
Science theme: Volcanic history
Task: Binary semantic segmentation
Dataset Summary
A binary semantic-segmentation benchmark for irregular mare patches
(IMPs): rare, morphologically subtle features interpreted as unusually young
volcanic landforms. Each sample is an LROC NAC image tile paired with a
binary IMP mask (IMP vs. background). The set is derived from published IMP
polygon annotations, framed as a… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-IMP-Segmentation.nasa-rw-2014
nasa-rw-2014
Tier 2 BSEBench-canonical Parquet harmonization of the NASA PCoE
Randomized Battery Usage Data Set (2014, Bole, Kulkarni & Daigle).
Hosted under the BSEBench organization for
filter-benchmark reproducibility.
Disambiguation
This is the harmonization of the 2014 Random Walk dataset, not
the older 2007–2008 NASA PCoE Battery Aging series (B0005, B0006,
B0007, B0018). The 2007 B-series is excluded from BSEBench v1.0 — see
the
nasa-rw-2014-raw
card for the… See the full description on the dataset page: https://huggingface.co/datasets/bsebench-org/nasa-rw-2014.ar_emergence
Active Region Emergence Dataset
Dataset Summary
The Active Region Emergence Dataset is designed to support research on the early detection of solar Active Regions (ARs) and the development of predictive models for space weather. By characterizing the evolution of ARs before, during, and after their emergence, the dataset enables studies of pre-emergence signatures and early warning methods.
This dataset is derived from NASA’s Solar Dynamics Observatory (SDO) using… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/ar_emergence.surya-bench-coronal-extrapolation
Coronal Field Extrapolation Dataset
Dataset Summary
This dataset contains spherical harmonic coefficients of the coronal magnetic potential generated by emulating the physics-based ADAPT-WSA PFSS (Potential Field Source Surface) code, driven by SDO/HMI solar magnetogram observations. The target spherical harmonic coefficients represent the magnetic potential between the photosphere and the source surface (set to 2.51 Rs).Each file also contains additional variables from… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-coronal-extrapolation.nasa-apod
NASA Astronomy Picture of the Day
Credit: NASA/GSFC/Suomi NPP
Part of a dataset collection on Hugging Face.
Dataset description
Daily astronomy images and explanations from NASA's Astronomy Picture of the Day (APOD) program, the longest-running astronomy outreach initiative on the internet. Each entry features a curated astronomical image or video with a written explanation by a professional astronomer.
APOD has published one entry every day since June 16… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-apod.igbt-accelerated-aging-nasa
⚡ IGBT Accelerated Aging Dataset — NASA
A NASA prognostics dataset tracking accelerated thermal aging of
Insulated Gate Bipolar Transistors (IGBTs) —
for fault detection, remaining useful life prediction,
and power electronics research.
🧭 Overview
This dataset contains experimental data from accelerated thermal aging
of IGBTs (Insulated Gate Bipolar Transistors) under various stress conditions.
Collected by NASA's Prognostics Center of Excellence, it is… See the full description on the dataset page: https://huggingface.co/datasets/hmnshudhmn24/igbt-accelerated-aging-nasa.nasa-science-code-benchmark-v0.1.1
NASA Code Retrieval Benchmark v0.1.1
This repository is an updated version of the NASA Code Retrieval Benchmark. It provides a code retrieval benchmark based on code from 7 programming languages sourced from NASA's GitHub repositories.
What's New in v0.1.1?
v0.1.1 introduces a hierarchical structure and official Hugging Face dataset configurations. This allows you to evaluate models specifically by language or by query category without data redundancy in the file system.… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-code-benchmark-v0.1.1.nasa-maven-kp-insitu
NASA MAVEN Key Parameters (In-Situ)
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
Data spans 2025-04-01 to 2025-08-14, split into 8 instrument configs:
Instrument
Description
Rows
Columns
LPW
Langmuir Probe and Waves -- electron density, temperature, EUV irradiance
1,222,785
22
SWEA
Solar Wind Electron Analyzer -- electron energy spectra and pitch angle distributions
1,189,677
19
SWIA
Solar Wind… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-maven-kp-insitu.nasa-ntrs-pdfs
NASA NTRS Document Archive (Clean Combined Dataset)
Overview
This dataset represents a meticulously cleaned and unified archive of the NASA Technical Reports Server (NTRS). It combines comprehensive metadata with direct download links to over 102,000 unclassified technical reports, research papers, and publications spanning decades of aeronautical and space research.
By flattening complex, nested JSON schemas into an accessible and high-quality Parquet format… See the full description on the dataset page: https://huggingface.co/datasets/AdhyanshVerma/nasa-ntrs-pdfs.nasa-sde-IR-benchmark-20251024-v5
NASA SDE IR Benchmark v5
A comprehensive Information Retrieval benchmark dataset for the NASA Science Discovery Engine (SDE), containing synthetically generated query-document pairs for scientific content retrieval evaluation.
Paper: INDUS-SDE: A Language Model for Scientific Content Curation and Discovery — KDD 2026, AI for Sciences Track. This is the in-domain NASA SDE IR benchmark used to evaluate INDUS-SDE-ST.
Code: NASA-IMPACT/st-training-workflow
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-sde-IR-benchmark-20251024-v5.nasa-science-github-repos
NASA Science GitHub Repositories
A curated index of 5,264 GitHub repositories relevant to the NASA Science Mission
Directorate (SMD), spanning five science divisions: Earth Science, Astrophysics,
Planetary Science, Heliophysics, and Biological & Physical Sciences.
This dataset is designed to support research on information retrieval and
discoverability of open-source scientific software.
Licensing and Intellectual Property
This dataset is released under CC-BY-4.0 and… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-github-repos.