huggingscience
mmu_legacysurvey_dr10_south_21
mmu_legacysurvey_dr10_south_21 HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_legacysurvey_dr10_south_21.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/mmu_legacysurvey_dr10_south_21.arc-aphasia-bids
Aphasia Recovery Cohort (ARC)
Multimodal neuroimaging dataset for stroke-induced aphasia research.
Dataset Summary
The Aphasia Recovery Cohort (ARC) is a large-scale, longitudinal neuroimaging dataset containing multimodal MRI scans from 230 chronic stroke patients with aphasia. This HuggingFace-hosted version provides direct Python access to the BIDS-formatted data with embedded NIfTI files.
Metric
Count
Subjects
230
Sessions
902
T1-weighted scans
444… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/arc-aphasia-bids.isles24-stroke
ISLES'24 Stroke Training Dataset
Multi-center longitudinal multimodal acute ischemic stroke training dataset from the ISLES'24 Challenge.
Overview
149 acute ischemic stroke training cases with:
Admission imaging (ses-01): Non-contrast CT, CT angiography, 4D CT perfusion
Follow-up imaging (ses-02): Post-treatment MRI (DWI, ADC)
Clinical data: Demographics, patient history, admission NIHSS, 3-month mRS outcomes
Annotations: Infarct masks, large vessel occlusion masks… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/isles24-stroke.G1-Pretrain-Data-Repommu_manga
mmu_manga HATS Catalog Collection
This is the collection of HATS catalogs representing mmu_manga.
This dataset is part of the Multimodal Universe,
a large-scale collection of multimodal astronomical data. For full details, see the paper:
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TBs of Astronomical Scientific Data.
Access the catalog
We recommend the use of the LSDB Python framework to access HATS catalogs.
LSDB can be installed via… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/mmu_manga.AI4FA-Diabimmune
Food Allergy Microbiome Dataset (Experimental)
Dataset Summary
This is an experimental microbiome dataset designed for exploratory research in food allergy classification. The dataset contains multiple data modalities (DNA embeddings, microbiome embeddings, raw DNA sequences) collected longitudinally at several timepoints.
Warning: This dataset is experimental. Its structure is frozen for ongoing research, and it is not ready for benchmarking.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/hugging-science/AI4FA-Diabimmune.