datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
motif-cryomap-dbcryosentinel-glof-v3
CryoSentinel-GLOF v3 — Multimodal Glacial Lake Chips for High Mountain Asia
A multimodal Earth-observation dataset of 42,237 image chips centred on glacial lakes across twelve High Mountain Asia sub-regions. Each chip stacks three co-registered modalities — Sentinel-1 SAR (VV, VH), Sentinel-2 optical (12 bands, L2A), and Copernicus DEM (1 band) — together with a binary water-extent mask derived from the Kumar & Vijay (2026) PANGAEA glacial-lake inventory.
This dataset is the… See the full description on the dataset page: https://huggingface.co/datasets/abzal-glw/cryosentinel-glof-v3.cryoem-acquisition
Cryo-EM Autonomous Acquisition Dataset
Data for training agents that decide which grid square and foil hole to image next during a cryo-EM session, so a sample reaches its target in the fewest acquisitions and the least instrument time.
Four EPU sessions derived from public EMPIAR depositions. Every acquisition carries what a live cryoSPARC Live session reports about 70 s after the exposure (particles, CTF fit, ice, 2D-class orientation profile), plus pre-acquisition hole… See the full description on the dataset page: https://huggingface.co/datasets/xkronosx/cryoem-acquisition.cryo_latentcryocryo_data_prior_img_fix_depthcryo-transposecryo-et-difix-iter0cryoprotective-agents
eamag/cryoprotective-agents
Auto-generated CSV using papers2dataset tool. THIS IS A PROOF OF CONCEPT, done with a free LLM and not double checked
bestfit_cryoem_3layerQ6-CryoNest-datasetbestfit_cryoem_2layer