datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sdoml-lite
SDOML-lite
SDOML-lite is a lightweight alternative to the SDOML dataset specifically designed for machine learning applications in solar physics, providing continuous full-disk images of the Sun with magnetic field and extreme ultraviolet data in several wavelengths. The data source is the Solar Dynamics Observatory (SDO) space telescope, a NASA mission that has been in operation since 2010.
NASA’s SDO mission has generated over 20 petabytes of high-resolution solar imagery… See the full description on the dataset page: https://huggingface.co/datasets/oxai4science/sdoml-lite.pdm_lite_3textESMAtlas
ESMAtlas
ESMAtlas is a Hugging Face mirror of the ESM Metagenomic Atlas, a large-scale resource of predicted metagenomic protein structures generated with Meta AI's ESMFold protein language model. The upstream Atlas contains more than 700 million predicted structures from MGnify protein sequences; the v2023_02 release corresponds to MGnify 2023_02 and uses esm.pretrained.esmfold_v1(). This dataset is useful for large-scale protein structure retrieval, structure-based search… See the full description on the dataset page: https://huggingface.co/datasets/LiteFold/ESMAtlas.LiTEN-FF-Experimental-Dataset-Structure
📁 LiTEN-FF EXP: Experimental Dataset Structure
The LiTEN-FF EXP directory contains the raw experimental data and simulation inputs used for validating the LiTEN-FF model across multiple molecular systems and tasks.
LiTEN-EXP/
│
├── ala2_free_energy/
├── ala3/
├── ala4_enhance_sampling/
├── ala5/
├── conf_opt/
├── conf_search/
├── geometric_cal/
├── H2O/
└── TorsionNet206/
Folder Descriptions
ala2_free_energy — Raw data and scripts for free energy calculations of… See the full description on the dataset page: https://huggingface.co/datasets/lingcon/LiTEN-FF-Experimental-Dataset-Structure.