datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OceanDepths
OceanDepths GeoTIFF Raster and Aligned ARGO Dataset
This dataset package contains the model-ready Ocean variables (ARGO submarine data, sea surface height, sea surface temperature and
salinity, as well as GLORYS reanalysis information for 50 depth levels. The ARGO data has been projected onto the GLORYS grid in order
to build a ML-ready dataset. The intention is that users can create tensors easily for CV-inspired ML approaches to ocean-variable
reconstruction. While… See the full description on the dataset page: https://huggingface.co/datasets/ESA-philab/OceanDepths.TerraMesh
TerraMesh
A planetary‑scale, multimodal analysis‑ready dataset for Earth‑Observation foundation models: TerraMesh merges data from Sentinel‑1 SAR, Sentinel‑2 optical, Copernicus DEM, NDVI, and land‑cover sources into more than 9 million co‑registered patches ready for large‑scale representation learning.
You find more information about the data sampling and preprocessing in our paper: TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data.
Samples from the TerraMesh… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/TerraMesh.seamless-align-enA-esA.speaker-embedding.w2vbert-600mseamless-align-enA-esA.speaker-embedding.xlsr-2bseamless-align-enA-esA.speaker-embedding.hubert-xlesa-hubble
Dataset Card for ESA Hubble Deep Space Images & Captions
Dataset Summary
The ESA Hubble Deep Space Images & Captions dataset is composed primarily of Hubble deep space scans as high-resolution images,
along with textual descriptions written by ESA/Hubble. Metadata is also included, which enables more detailed filtering and understanding of massive space scans.
The purpose of this dataset is to enable text-to-image generation methods for generating high-quality deep space… See the full description on the dataset page: https://huggingface.co/datasets/Supermaxman/esa-hubble.seamless-align-enA-esALlama3-SSL4EO-S12-v1.1-captions
Llama3-SSL4EO-S12-Captions
The captions are aligned with the SSL4EO-S12 v1.1 dataset and were automatically generated using the Llama3-LLaVA-Next-8B model.
Please find more information regarding the generation and evaluation in the Llama3-MS-CLIP paper.
Code: https://github.com/IBM/MS-CLIP
Data Structure
We provide the captions in two versions: As a single compressed Parquet file per split and as CSV files with 256 captions each that match the Zarr Zip files of the… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions.phisat2-s2-lightglue-triplets
PhiSat-2 / Sentinel-2 LightGlue Triplets
This dataset contains finalized strict triplet outputs generated from the local
PhiSat-2/Sentinel-2 LightGlue pipeline. Each accepted patch includes real
PhiSat-2, Sentinel-2 L1C, simulated PhiSat-2, OmniCloudMask, ESA WorldCover, and
Koppen-Geiger metadata.
Quality policy: fail closed. Patches are accepted only when registration,
geometry, nodata, PhiSat-2 cloud, WorldCover, and Koppen gates pass.
Current upload:
finalized pairs: 1… See the full description on the dataset page: https://huggingface.co/datasets/ESA-philab/phisat2-s2-lightglue-triplets.seamless-align-enA-esA.tokenized.encodecTerraMesh-Masks
TerraMesh-Masks
TerraMesh-Masks is a dataset for open-vocabulary segmentation of satellite imagery. This dataset provides binary segmentation masks with captions that extend the samples from TerraMesh.
We also provide an human-verfied evaluation benchmark, called TerraMesh-Masks-Eval.
Examples from the training subset:
Usage
Download the data loading code from GitHub and install requirements with pip install -r requirements.txt. For development, you can… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/TerraMesh-Masks.ImpactMesh-Fire
ImpactMesh-Fire
ImpactMesh is a large-scale multimodal, multitemporal dataset for flood and wildfire mapping, released by IBM, DLR, and the ESA Φ-lab.
It integrates Sentinel-1 SAR, Sentinel-2 optical, Copernicus DEM, and high-quality annotations from Copernicus EMS.
The technical report is released soon. You find the flood subset here: https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Flood.
Features
Multimodal: SAR, optical, DEM
Multitemporal:… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Fire.ImpactMesh-Flood
ImpactMesh-Flood
ImpactMesh is a large-scale multimodal, multitemporal dataset for flood and wildfire mapping, released by IBM, DLR, and the ESA Φ-lab.
It integrates Sentinel-1 SAR, Sentinel-2 optical, Copernicus DEM, and high-quality annotations from Copernicus EMS.
The technical report is released soon. You find the wildfire subset here: https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Fire.
Features
Multimodal: SAR, optical, DEM… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/ImpactMesh-Flood.esa-exomars-tgo-observations
ESA ExoMars TGO Observations
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
Complete observation metadata catalog from the ESA ExoMars Trace Gas Orbiter (TGO) mission -- studying Mars atmosphere, surface, and subsurface since the spacecraft entered orbit in October 2016.
TGO's primary scientific goal is to study the Martian atmosphere with unprecedented sensitivity, searching for trace gases such as methane that… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-exomars-tgo-observations.synth
EVE-Synth
Paper | GitHub
EVE-Synth is a synthetic corpus generated from the original EVE-corpus for the following tasks:
QA
Long QA
Refusal QA
This dataset is modified from the original version of the document corpus. It was introduced as part of the paper EVE: A Domain-Specific LLM Framework for Earth Intelligence.
Dataset Features
input (string): The input prompt or question provided to the model or used to generate the output.
output (string): The generated or… See the full description on the dataset page: https://huggingface.co/datasets/eve-esa/synth.corpus
EVE-Corpus
Paper | GitHub
EVE-Corpus is a large-scale, cleaned, and anonymized text corpus of Earth Observation (EO) documents formatted in Markdown.It is designed to support research in EO and domain-specific LLM training.
The corpus contains 186k Markdown files, sourced from peer-reviewed journals, EO websites and scientific repositories.
Dataset Features
file_path (string): the file path of the source document within the s3 bucket.
text (string): full document… See the full description on the dataset page: https://huggingface.co/datasets/eve-esa/corpus.esa-rosetta-observations
ESA Rosetta Observations
Credit: NASA/ESA
Part of the Solar System Datasets and Planetary Science Datasets collections on Hugging Face.
Complete observation metadata catalog from the ESA Rosetta mission to Comet 67P/Churyumov-Gerasimenko — 8,214,033
observations across 15 instruments.
Dataset description
Rosetta was ESA's groundbreaking mission to Comet 67P/Churyumov-Gerasimenko. Launched in 2004, it became the first spacecraft to orbit a comet (August 2014) and… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-rosetta-observations.OpenH-RF-eSAF
OpenH-RF Sub-Dataset — Rotational 3D US Raw Channel Data for Elevational SAF (Simulated + Measured Phantom)
One .hdf5 per acquisition, zea file format. Raw per-element channel data
(pre-beamforming). See data/manifest.json for the full list and reconstruct.py
pipeline.yaml for the reference reconstruction.
Paths in this card are relative to the package root (this file ships as the
package README.md; the .hdf5 live in data/). Files marked (source) are
part of the authors'… See the full description on the dataset page: https://huggingface.co/datasets/RyoMurakami/OpenH-RF-eSAF.ESAROEOBench-CloudSEN12NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset
Dataset Card for NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset
Dataset Details
Dataset Description
This dataset contains annotated benthic coral reef imagery of Isopora crateriformis (ICRA) coral species. The dataset is formatted for object detection tasks.
Bounding box annotations for ICRA coral colonies
Stratified train/validation/test splits for robust model evaluation
License: Public Domain (NOAA Open Data Public Access)
Dataset Composition:
Total… See the full description on the dataset page: https://huggingface.co/datasets/NMFS-OSI/NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset.seamless-align-enA-esA.speaker-embedding.metavoiceesa-bepicolombo-observations
ESA BepiColombo Observations
Credit: NASA/Johns Hopkins APL/Carnegie Institution of Washington
Part of a dataset collection on Hugging Face.
Dataset description
Complete observation metadata catalog from the ESA/JAXA BepiColombo mission to Mercury.
BepiColombo is a joint ESA/JAXA mission to Mercury, launched October 2018. It consists of two orbiters: the Mercury Planetary Orbiter (MPO) and the Mercury Magnetospheric Orbiter (Mio/MMO). After a 7-year cruise… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-bepicolombo-observations.OEOBench-WorldFloods
WorldFloods Φsat-2 dataset
The WorldFloods Φsat-2 dataset is an adaptation of the WorldFloods v2 dataset created with the purpose of simulating a Φsat-2-like dataset for training Foundation Models for this mission.
Φsat-2 images were simulated using the code in the OrbitalAI Challenge. For storing the dataset, we followed the PhiSatNet repo Data Specification Format.
Since the WorldFloods v2 dataset contains full flood scenes rather than small patches, we created… See the full description on the dataset page: https://huggingface.co/datasets/ESA-PhiLab-Edge/OEOBench-WorldFloods.MCTED
MCTED - Mars CTX Terrain-Elevation Dataset
Dataset repository | arXiv article
Overview
MCTED is a machine-learning-ready dataset of optical images of the surface of Mars, paired with their corresponding digital elevation models.
It was created using an extensive repository of orthoimage-DEM pairs with the NASA Ames Stereo Pipeline using the Mars Reconneissance Orbiter's CTX instrument imagery by
Day et al. 2023. We process the samples from the repository using a… See the full description on the dataset page: https://huggingface.co/datasets/ESA-Datalabs/MCTED.satcom-corpus
satcom-corpus
The SatCom Corpus is a large-scale collection of scientific and technical text data focused on satellite communications (SatCom) and related technologies.The corpus contains text extracted from online sources selected by experts (mainly scientific publishers and open-access archives) and is designed for language modeling, domain adaptation, and question answering in the SatCom domain.
Dataset structure
Each entry in the dataset includes the following… See the full description on the dataset page: https://huggingface.co/datasets/esa-sceva/satcom-corpus.ted-im2im-de-ensatcom-chunk-collection
SatCom Chunk Collection
A large-scale dataset of 1,900,085 text chunks was constructed from satellite communication (SatCom) research papers. These chunks are extracted from the SatCom corpus.
Each chunk is enriched with structured metadata (e.g., publication details and authorship information), domain relevance scores, and precomputed vector embeddings using Qwen3-Embedding-4B to enable efficient semantic retrieval and downstream RAG-based generation.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/esa-sceva/satcom-chunk-collection.esa-mars-express-observations
ESA Mars Express Observations
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
Complete observation metadata catalog from the ESA Mars Express mission -- one of the longest-running and most scientifically productive Mars orbiters. Mars Express entered Mars orbit in December 2003 and carries a suite of 8 instruments: HRSC (high-resolution stereo camera), MARSIS (subsurface radar sounder), OMEGA (mineralogy… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-mars-express-observations.esa-juice-observations
ESA JUICE Observations
Credit: NASA/JPL-Caltech
Part of a dataset collection on Hugging Face.
Dataset description
Observation metadata catalog from ESA's JUICE (Jupiter Icy Moons Explorer) mission.
JUICE is ESA's flagship mission to the Jovian system, launched April 14, 2023. After gravity assists at Earth-Moon (August 2024), Venus (August 2025), and Earth (September 2026, January 2029), JUICE will arrive at Jupiter in July 2031 for a 3.5-year tour of the… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/esa-juice-observations.