datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
WxC-Bench
Dataset Card for WxC-Bench
WxC-Bench primary goal is to provide a standardized benchmark for evaluating the performance of AI models in Atmospheric and Earth Sciences across various tasks.
Dataset Details
WxC-Bench contains datasets for six key tasks:
Nonlocal Parameterization of Gravity Wave Momentum Flux
Prediction of Aviation Turbulence
Identifying Weather Analogs
Generation of Natural Language Weather Forecasts
Long-Term Precipitation Forecasting
Hurricane Track and… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/WxC-Bench.legacy-satvision-sr-pretrain-small
Satvision Pretraining Dataset - Small
Developed by: NASA GSFC CISTO Data Science Group
Model type: Pre-trained visual transformer model
License: Apache license 2.0
This dataset repository houses the pretraining data for the Satvision pretrained transformers.
This dataset was constructed using webdatasets to
limit the number of inodes used in HPC systems with limited shared storage. Each file has 100000
tiles, with pairs of image input and annotation. The data has been further… See the full description on the dataset page: https://huggingface.co/datasets/nasa-cisto-data-science-group/legacy-satvision-sr-pretrain-small.Landslide4sense
Landslide4Sense
Dataset Description
This dataset is originally introduced in GitHub repo Landslide4Sense-2022.
The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
Slope data from ALOS PALSAR: B13.
Digital elevation model (DEM) from ALOS… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/Landslide4sense.hls_burn_scarsThis dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.NASA-Power-Daily-Weather
NASA Power Weather Data over North, Central, and South America from 1984 to 2022
This dataset contains daily solar and meteorological data downloaded from the NASA Power API
Overview
The dataset includes solar and meteorological variables collected from January 1st, 1984, to December 31st, 2022.
We downloaded 28 variables directly and estimated an additional 3 from the collected data. The data spans a 5 x 8 grid covering
the United States, Central America, and South… See the full description on the dataset page: https://huggingface.co/datasets/notadib/NASA-Power-Daily-Weather.core-sdo
ML-Ready Multi-Modal Image Dataset from SDO
Overview
This dataset provides machine learning (ML)-ready solar data curated from NASA’s Solar Dynamics Observatory (SDO), covering observations from May 13, 2010, to Dec 31, 2024. It includes Level-1.5 processed data from: Atmospheric Imaging Assembly (AIA)
and Helioseismic and Magnetic Imager (HMI).
The dataset is designed to facilitate large-scale learning applications in heliophysics, such as space weather forecasting… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/core-sdo.Surya-1.0_validation_data
Validation data for Surya 1.0
This dataset comprises imagery from NASA's Solar Dynamics Observatory (SDO). The data can and should be used to validate a local installation of the Surya Foundation Model for Heliophysics. The data is compressed; you should use the hdf5plugin to read it directly.
aurora_rollout_betamulti-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.hurricane
Data Format Description for Hurricane Evaluation on Prithvi WxC
Overview
To evaluate the performance of Prithvi WxC on hurricanes, the surface and pressure data from the MERRA-2 dataset, comprising 160 variables used in training, is required. The complete evaluation dataset includes 75 different initial conditions for hurricanes that formed in the Atlantic Ocean between 2017 and 2023.
The scientific objective is to assess the zero-shot performance of Prithvi WxC in… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hurricane.downstream-3dclouds-subset
AbiToa3DCloud Dataset
A dataset for 3D cloud mask detection using 14-band ABI TOA (Top of Atmosphere) imagery, designed for SatVision-TOA applications
making predictions along the CloudSat-CALIPSO curtain.
Overview
Cloud 3D structures dominate the impact to cloud radiative feedback at the top of the atmosphere [31, 32] and influence
precipitation initiation time, intensity and duration at the surface [33, 34]. As such, the international GEWEX cloud
assessment program… See the full description on the dataset page: https://huggingface.co/datasets/nasa-cisto-data-science-group/downstream-3dclouds-subset.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.nasa-cmapss-rul
Modified CMAPSS Dataset (Turbofan Engine Degradation)
📘 Description
This dataset is a modified version of the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) turbofan engine degradation simulation dataset. The modification was created by our team as part of a submission for RISTEK UI Datathon 2025, in conjunction with the predictive modeling work we developed.
Each entry in this dataset corresponds to one engine's operating cycle. Engines begin with… See the full description on the dataset page: https://huggingface.co/datasets/penikmatrumput/nasa-cmapss-rul.Sombench-NAC-Crater-Detection
SOMBench Benchmark: Hand-Labeled Crater Detection in NAC data (nac_craters_dataset)
Science theme: Impact cratering
Task: Single-class object detection (COCO bounding boxes)
Dataset Summary
A crater-detection benchmark built from expert hand-labeled crater outlines
on LROC NAC orthophotos across six lunar NAC PHO sites (Apollo 15 SIVB impact,
Apollo 17, Highland Photom, King Ejecta, March 17 Impact, Reiner Gamma). Subject matter expert (SME) annotators… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-NAC-Crater-Detection.hls_merra2_gppFlux
Dataset Summary:
This dataset consists of Harmonized Landsat and Sentinel-2 multispectral reflectance imagery and MERRA-2 observations centered around eddy covariance flux towers and the corresponding Gross Primary Productivity (GPP) data at the towers. Its purpose is to serve as a finetuning dataset for geospatial foundation models for the task of regressing GPP flux observations from HLS and MERRA-2 data.
Dataset Structure:
The dataset consists of:
(1) HLS 6-band Tiff… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hls_merra2_gppFlux.BioMassters
Dataset Card for BioMassters for Global Prithvi
Dataset Description
Copied from BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series https://nascetti-a.github.io/BioMasster/
Original Dataset: https://huggingface.co/datasets/nascetti-a/BioMassters
Point of Contact For Updated Dataset: Denys Godwin (dgodwin@clarku.edu)
Dataset Summary
This dataset contains Sentinel-1 SAR and Sentinel-2 MSI imagery of Finnish… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/BioMassters.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.clr_motion_planning_hw_7NASA_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.NASA-OPERAeuv-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-knowledge-graph
Dataset Summary
The NASA Knowledge Graph Dataset is an expansive graph-based dataset designed to integrate and interconnect information about satellite datasets, scientific publications, instruments, platforms, projects, data centers, and science keywords. This knowledge graph is particularly focused on datasets managed by NASA's Distributed Active Archive Centers (DAACs), which are NASA's data repositories responsible for archiving and distributing scientific data. In addition… See the full description on the dataset page: https://huggingface.co/datasets/nasa-gesdisc/nasa-eo-knowledge-graph.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-smd-IR-benchmark
NASA-IR benchmark
NASA SMD and IBM Research developed a domain-specific information retrieval benchmark, NASA-IR, spanning almost 500 question-answer pairs related to the Earth science, planetary science, heliophysics, astrophysics, and biological physical sciences domains. Specifically, we sampled a set of 166 paragraphs from AGU, AMS, ADS, PMC, and PubMed and manually annotated with 3 questions that are answerable from each of these paragraphs, resulting in 498 questions. We used… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-smd-IR-benchmark.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-C-MAPSS-Turbofan-Engine
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Remaining useful life prediction
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Predictive maintenance
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Digital twin research
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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.