datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-muscle-aging-atlas-snRNAseq
Human Skeletal Muscle Aging Atlas (sn/scRNA-seq) Dataset
1. Data Overview
This dataset provides single-nucleus and single-cell RNA sequencing (sn/scRNA-seq) data specifically focusing on the human skeletal muscle across different age groups. It serves as a rich resource for investigating cell-type specific gene expression changes and cellular composition shifts that occur during the aging process in a critical human tissue.
The original data was sourced from the Human… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/human-muscle-aging-atlas-snRNAseq.mouse-muscle-aging-atlas-snRNAseq
Mouse Skeletal Muscle Aging Atlas (sn/scRNA-seq) Dataset
Dataset Overview
This dataset comprises single-nucleus and single-cell RNA sequencing (sn/scRNA-seq) data specifically focusing on the mouse skeletal muscle across different age groups. It serves as a valuable resource for investigating cell-type-specific gene expression changes and cellular composition shifts that occur during the aging process in a crucial mammalian model system.
The data was sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/mouse-muscle-aging-atlas-snRNAseq.totalsegmentator-muscles
TotalSegmentator Muscles Dataset
Dataset Description
The TotalSegmentator Muscles dataset for muscle segmentation (TotalSegmentator Muscles subset). This dataset contains CT scans with dense segmentation annotations.
Dataset Details
Modality: CT
Target: various muscle groups
Format: NIfTI (.nii.gz)
Dataset Structure
Each sample in the JSONL file contains:
{
"image": "path/to/image.nii.gz",
"mask": "path/to/mask.nii.gz"… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/totalsegmentator-muscles.wan_showing_musclesThis dataset contains videos generated using Wan 2.1 T2V 14B.
huberman_lab_Dr._Layne_Norton_The_Science_of_Eating_for_Health_Fat_Loss__Lean_Musclehuberman_lab_Science__Tools_for_Muscle_Growth_Increasing_Strength__Muscular_Recoveryhuberman_lab_Dr__Andy_Galpin_How_to_Build_Strength_Muscle_Size__Endurancehuberman_lab_Dr__Layne_Norton_The_Science_of_Eating_for_Health_Fat_Loss__Lean_Musclehuberman_lab_Perform_with_Dr__Andy_Galpin_Why_Muscle_Matters__How_to_Build_Ithuberman_lab_GUEST_SERIES__Dr._Andy_Galpin_Optimal_Protocols_to_Build_Strength__Grow_Muscleshuberman_lab_GUEST_SERIES__Dr__Andy_Galpin_Optimal_Protocols_to_Build_Strength__Grow_Musclesforearm_muscle_om12huberman_lab_Perform_with_Dr._Andy_Galpin_Why_Muscle_Matters__How_to_Build_Ithuberman_lab_Dr._Andy_Galpin_How_to_Build_Strength_Muscle_Size__EnduranceML2025_HW_Cardiac_Muscle
ML 2025 Cardiac Muscle Dataset
You have to extract the file before using the dataset.
